Best Big Data Tools

Best big data tools are Pentaho, RapidMiner, MongoDB, KNIME, and intelligent Data Platform. This software enables organizations to extract information from numerous data clusters easily.

Supriya Bajaj
Researched and Written by Supriya Bajaj
Live Agent - Tejasvita Domadiya
Live Agent - Divyang Kansara
Live Agent - Manali Shah
Get Free Demo

No Cost Personal Advisor

SoftwareSuggest offers verified & unbiased user reviews based on user ratings and feedback. Our ratings and reports do not contain any paid placements. Learn more about our ranking methodology.

List of 25 Best Big Data Tools

Showing 1 - 25 of 95 products
Customize your search: dropdown
Reset Filter
Sort by:

Empower all types of users to access and process d

Product Description

This information is provided by vendor.

Oracle Analytics Cloud is a comprehensive analytics solution for business users, data engineers, and data scientists. The software features the latest data analytics technology and provides trustworthy insights that assist in making prompt and accurate decisions by addressing the entire data and analytics process. Oracle... Read More About Oracle Analytics Cloud

Oracle Analytics Cloud Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Collaboration Tools
  • Mobile Analytics
  • Automated Insights
  • Predictive Analytics
  • Machine Learning Integration
  • Advanced Analytics
  • Scalability
  • Data Governance
  • View all Features

Emergents | 2025

No-code, bi-directional data pipeline platform spe

Product Description

This information is provided by vendor.

Hevo is a popular zero-maintenance big data software. It helps businesses set up data pipelines in minutes and automatically syncs all your sources to the data warehouse. Its intuitive code UI enables you to integrate a plethora of sources in real time and lets you... Read More About Hevo

Hevo Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Data Security
  • Api Access
  • Pre Built Connectors
  • Scalability
  • Data Enrichment
  • Real Time Data Integration
  • Custom Workflows
  • Role Based Access Control
  • View all Features

FREE

$ 0

Includes 1 Million Events

Get Offer

STARTER

$ 149

Includes 1O Million Events

Get Offer

Hevo Features and Usability-Based User Satisfaction Score

Freshness Score 7.0

Freshness Score

Out of 10

Social Score 5.0

Social Score

Out of 10

Monthly website visitor Score 2.0

Monthly website visitor Score

Out of 10

Tools by The Apache Software

Product Description

Apache Hadoop is a powerful big data tool library that enables the distributed processing of vast datasets across computer clusters using straightforward programming models. Its architecture is built to seamlessly expand from individual servers to thousands of machines, with each machine contributing local computation and... Read More About Apache Hadoop

Apache Hadoop Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

Tools by The Apache Software

Product Description

Apache Spark is one of the best versatile big data tools, supporting data engineering, data science, and machine learning tasks on single-node machines and clusters. It seamlessly integrates with popular frameworks, empowering them to scale efficiently across thousands of machines. Read More About Apache Spark

Apache Spark Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Sparkr
  • Mllib
  • Dataset Api
  • Spark Core
  • Catalyst Optimizer
  • Yarn Integration
  • Structured Streaming
  • Spark Streaming
  • View all Features

Product Description

This information is provided by vendor.

Instaclustr Apache Kafka is a powerful, reliable, and scalable big data tooling software for streaming and queuing always-on applications. The software offers built-in core features such as data transport, data aggregation, and data storage. Instaclustr Apache Kafka is fault-tolerant and can seamlessly handle high-velocity and... Read More About Instaclustr Apache Kafka

Instaclustr Apache Kafka Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Performance Optimization
  • Integration With Other Tools
  • Managed Service
  • Kafka Connect
  • Rest Proxy
  • High Availability
  • Disaster Recovery
  • Network Isolation
  • View all Features

Tools by The Apache Software

Product Description

Apache Storm is distributed real-time big data software that is freely available and open source. It provides a seamless solution for processing unlimited data streams with utmost reliability, revolutionizing real-time processing in a similar manner to how Hadoop transformed batch processing. Read More About Apache Storm

Apache Storm Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • State Management
  • Dynamic Topology
  • Event Processing
  • Integration With Hadoop
  • Support For Multiple Languages
  • Real Time Processing
  • Load Balancing
  • Data Partitioning
  • View all Features

Tools by The Apache Software

Product Description

CouchDB offers highly developed big data software tools that enable you to access your data wherever you need it. The software helps collect and analyze data for information, business, machine learning, predictive modeling, browsers, and other purposes. CouchDB comes with an easy query language that... Read More About CouchDB

CouchDB Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Distributed Architecture
  • Built In Web Administration Interface
  • Attachments
  • Compaction
  • Acid Semantics
  • Incremental Mapreduce
  • Authentication And Authorization
  • Http/json Api
  • View all Features

Category Champions | 2025

Product Description

This information is provided by vendor.

Zoho Analytics is the best big data software that helps businesses gain in-depth business insights. This simple and effective software lets you analyze massive data easily, even in a highly robust environment. Zoho Analytics enables you to connect to multiple data sources like business applications,... Read More About Zoho Analytics

Zoho Analytics Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Geo Visualization
  • White Labeling
  • Ai Powered Insights
  • Data Blending
  • Apis
  • User Management
  • Mobile Bi
  • Data Import
  • View all Features

Free

$ 0

Per Month

Get Offer

Basic

$ 17

Per Month

Get Offer

Standard

$ 33

Per Month

Get Offer

Premium

$ 72

Per Month

Get Offer
4.6
out of 5 (5 Reviews)
Features
4.4
Ease of Use
5.0
Value for Money
4.8
Customer Support
4.6
Raghav Arora
Consultant

Zoho Analytics is a self-service business intelligence tool that provides analytics for insights into business operations and reports for decision-making, approval, and payment. It offers a variety of features for ETL capabilities.

Read all 5 Reviews

Zoho Analytics Features and Usability-Based User Satisfaction Score

Rating Score 9.2

Rating Score

Out of 10

No. of reviews Score 1.0

No. of reviews Score

Out of 10

Freshness Score 10.0

Freshness Score

Out of 10

Social Score 9.4

Social Score

Out of 10

Monthly website visitor Score 8.0

Monthly website visitor Score

Out of 10

Emergents | 2025

Big data analytics software for all enterprises

Product Description

Cloudera is one of the top big data platforms that help you confidently tackle your toughest challenges. Its open and scalable architecture is designed to modernize your data stack while providing speed, efficiency, and security. Cloudera works across multi-cloud and on-premises environments with great flexibility... Read More About Cloudera

Cloudera Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Backup And Restore
  • Data Transformation
  • High Availability
  • Data Integration
  • Monitoring And Alerts
  • Query Optimization
  • Multi Tenancy
  • Scalability
  • View all Features

Cloudera Features and Usability-Based User Satisfaction Score

Freshness Score 6.0

Freshness Score

Out of 10

Social Score 5.0

Social Score

Out of 10

Big data analytics software for data professionals

Product Description

RapidMiner is a top-ranked software in the best big data tools list. It eliminates the complexity of data science and makes machine learning easier by creating predictive models for you. With RapidMiner, you can easily handle big data clusters and run data prep and ETL... Read More About RapidMiner

RapidMiner Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Reporting And Analytics
  • Cloud Deployment
  • Machine Learning Integration
  • Process Mining
  • Real Time Monitoring
  • Predictive Analytics
  • Workflow Design
  • Third Party Integrations
  • View all Features

Contenders | 2025

Product Description

This information is provided by vendor.

Oxylabs utilizes the power of web intelligence to collect data at scale. It provides big data tools driven by AI that can extract data block-free from even the most challenging targets. On top of that, Oxylabs provides multiple language support and can be effortlessly integrated... Read More About Oxylabs

Oxylabs Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Data Anonymization
  • Proxy Management
  • Session Control
  • Datacenter Proxies
  • Residential Proxies
  • Data Parsing
  • Browser Automation
  • Geo Targeting
  • View all Features
5.0
out of 5 (1 Review)
Features
5.0
Ease of Use
5.0
Value for Money
4.0
Customer Support
4.0
Denis Sledge
IT Manager

All of the proxies work well, running at the speed they promised. I don't need to develop and maintain my own scraping infrastructure; Oxylabs helps with that.

Read Review

Oxylabs Features and Usability-Based User Satisfaction Score

Rating Score 10.0

Rating Score

Out of 10

No. of reviews Score 1.0

No. of reviews Score

Out of 10

Freshness Score 8.0

Freshness Score

Out of 10

Social Score 10.0

Social Score

Out of 10

Monthly website visitor Score 8.0

Monthly website visitor Score

Out of 10

Making qualitative research easier in all areas

Product Description

This information is provided by vendor.

"ATLAS.ti runs on an AI-driven assistance model fueled by the popular GPT model. Its big data tools and technologies provide qualitative insights to complete your research projects 10x faster than usual. ATLAS.ti enables you to focus on refinement and analysis for optimized scientific accuracy by... Read More About ATLAS.ti

ATLAS.ti Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Text Search
  • Integration With Other Tools
  • Memo Writing
  • Geospatial Analysis
  • Data Visualization
  • Query Tool
  • Image Analysis
  • Video Analysis
  • View all Features

An intelligent, end-to-end marketing data analytic

Product Description

This information is provided by vendor.

Adverity is the perfect big data management software for organizations with complex and massive data sets. The software handles structured, unstructured, and semi-structured data, allowing users to analyze and interpret it in a simple way. Adverity is an automated solution that helps save resources wasted... Read More About Adverity

Adverity Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Data Blending
  • Data Visualization
  • Collaboration Tools
  • Custom Metrics
  • Cross Channel Analytics
  • Data Governance
  • Data Export
  • Api Access
  • View all Features

Emergents | 2025

Dataddo is a no-code data integration platform.

Product Description

This information is provided by vendor.

Dataddo is a terrific data integration platform for data engineers, data scientists, finance officers, business owners, BI specialists, sales reps, and marketers. The software carries best-in-class big data tools that equip these professionals with the valuable insights they need to make smart, data-informed decisions. Read More About Dataddo

Dataddo Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Data Backup
  • Data Security
  • Scheduling
  • Data Enrichment
  • Data Integration
  • Real Time Data Sync
  • Data Visualization
  • Data Monitoring
  • View all Features

Free

$ 0

Forever

Get Offer

Data to Dashboards

$ 99

Per Month

Get Offer

Data Anywhere

$ 99

Per Month

Get Offer

Dataddo Features and Usability-Based User Satisfaction Score

Freshness Score 7.0

Freshness Score

Out of 10

Social Score 5.0

Social Score

Out of 10

Monthly website visitor Score 2.0

Monthly website visitor Score

Out of 10

Big data analytics software for data scientists

Product Description

KNIME is a highly scalable and flexible big data software that lets you analyze and interpret data without coding. This complete data science platform empowers business and domain experts, data experts, and other professionals to efficiently work with large data sets using its advanced analytics... Read More About KNIME Analytics

KNIME Analytics Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Text Mining
  • Data Blending
  • Data Visualization
  • Machine Learning Algorithms
  • Time Series Analysis
  • Extensive Documentation
  • Real Time Analytics
  • Collaboration Tools
  • View all Features

Tools by Datawrapper

Product Description

Datawrapper is a modern data tooling software that lets you convert your data into beautiful charts, maps, or tables in a few clicks. The software is specially designed for professionals from media, finance, government, non-profit, etc., to help them enrich their stories by incorporating interactive... Read More About Datawrapper

Datawrapper Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Mobile Optimization
  • Data Security
  • Interactive Elements
  • Real Time Data
  • User Management
  • Annotations
  • Map Visualizations
  • Version Control
  • View all Features

Contenders | 2025

Big data software for startups and government agencies

Product Description

MongoDB is an industry-leading big data software for unlocking the potential and revenue of your data. MongoDB lets you create data pipelines in minutes, making handling large data volumes easier. It provides a comprehensive set of big data software tools that collectively help meet an... Read More About MongoDB

MongoDB Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Load Balancing
  • High Performance
  • Monitoring And Management
  • Document Oriented Storage
  • Capped Collections
  • Geospatial Indexing
  • Aggregation Framework
  • Horizontal Scalability
  • View all Features
4.8
out of 5 (9 Reviews)
Features
4.8
Ease of Use
4.7
Value for Money
4.7
Customer Support
4.4
Kesavan Krishnamachari
Senior System Engineer

We have been using MongoDB for over 3 years. It scales well and is very user-friendly.

Read all 9 Reviews

MongoDB Features and Usability-Based User Satisfaction Score

Rating Score 9.6

Rating Score

Out of 10

No. of reviews Score 2.0

No. of reviews Score

Out of 10

Freshness Score 10.0

Freshness Score

Out of 10

Social Score 9.0

Social Score

Out of 10

Monthly website visitor Score 4.0

Monthly website visitor Score

Out of 10

Emergents | 2025

The easiest way to get real business insights

Product Description

This information is provided by vendor.

Sisense is the best big data software for designing high-engagement experiences by incorporating AI and embedded insights. The software uncovers powerful insights by allowing you to connect, analyze, explore, and collaborate with or without code. With Sisense, you can leverage full customization from the look... Read More About Sisense

Sisense Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Embedded Analytics
  • Real Time Data
  • Data Preparation
  • Data Visualization
  • Scalability
  • Machine Learning Integration
  • Interactive Dashboards
  • Data Connectivity
  • View all Features
4.7
out of 5 (3 Reviews)
Features
4.7
Ease of Use
4.7
Value for Money
4.7
Customer Support
4.3
Kiran Shastri

The software is packed with highly useful and viable features that ensure error-free reporting and analysis. Its data visualization feature helps me create better and more enhanced data presentations, which is not the case with other payroll software.

Read all 3 Reviews

Sisense Features and Usability-Based User Satisfaction Score

Rating Score 9.4

Rating Score

Out of 10

No. of reviews Score 1.0

No. of reviews Score

Out of 10

Freshness Score 9.5

Freshness Score

Out of 10

Social Score 9.3

Social Score

Out of 10

Monthly website visitor Score 8.0

Monthly website visitor Score

Out of 10

Tools by Xplenty Data Integration

Product Description

Xplenty is a no-code data pipeline platform for simplifying your entire data journey. The software provides modern big data tools and technologies that help data teams and business users easily build and manage clean, secure data pipelines that drive better decision-making. Read More About Xplenty

Xplenty Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Cloud Data Integration
  • Transform
  • Real Time Data Processing
  • Data Synchronization
  • Data Aggregation
  • Data Integration
  • Data Mapping
  • Data Security
  • View all Features

Emergents | 2025

Big data visualization tools for all businesses

Product Description

Pentaho is a powerful software that helps you onboard, prepare, and activate data more efficiently than ever. Its robust big data management tools facilitate cloud data integration and help you seamlessly build, deploy, and analyze all data. Pentaho is highly secure, scalable, and flexible, and... Read More About Pentaho

Pentaho Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Data Cleansing
  • Reporting
  • Dashboards
  • Cloud Integration
  • Data Integration
  • Advanced Analytics
  • Data Mining
  • Security And Access Control
  • View all Features
4.0
out of 5 (1 Review)
Features
5.0
Ease of Use
5.0
Value for Money
5.0
Customer Support
3.0
Manish Varma
Research Analyst

It's very easy to use and highly useful for daily tasks related to database and Excel operations. Not much technical knowledge is needed to operate it, making this tool extremely valuable in any domain.

Read Review

Pentaho Features and Usability-Based User Satisfaction Score

Rating Score 8.0

Rating Score

Out of 10

No. of reviews Score 1.0

No. of reviews Score

Out of 10

Freshness Score 8.0

Freshness Score

Out of 10

Social Score 7.0

Social Score

Out of 10

Monthly website visitor Score 4.0

Monthly website visitor Score

Out of 10

Contenders | 2025

Product Description

Tableau allows you to make better decisions with analytics powered by data, AI, and CRM. It provides resilient big data tools that help analysts, executives, and business users create great customer experiences. Tableau also provides a data cloud, which helps discover hidden insights by taking... Read More About Tableau

Tableau Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Mobile Ready Dashboards
  • Real Time Analysis
  • Drag And Drop Interface
  • Dashboard Commenting
  • Trend Lines And Predictive Analysis
  • Embedded Analytics
  • Data Security
  • Geographic Data Mapping
  • View all Features
4.7
out of 5 (19 Reviews)
Features
4.6
Ease of Use
4.7
Value for Money
4.3
Customer Support
4.4
Rohit Parakh Jain
Senior Engineer

Tableau is the most accessible BI tool I've ever used. Its GUI is excellent and offers a vast range of charts and graphs for visual data representation. One of the best features I like is the geographical plot.

Read all 19 Reviews

Tableau Features and Usability-Based User Satisfaction Score

Rating Score 9.4

Rating Score

Out of 10

No. of reviews Score 4.0

No. of reviews Score

Out of 10

Freshness Score 10.0

Freshness Score

Out of 10

Social Score 8.2

Social Score

Out of 10

Monthly website visitor Score 4.0

Monthly website visitor Score

Out of 10

Most Reviewed

Contenders | 2025

Big data analytics platform for all organizations

Product Description

Splunk Enterprise is a customizable data analytics platform and works well for IT, security, IoT, and business operations. Using this big data software, you can investigate, monitor, and act to achieve operational insights and improve business performance. Read More About Splunk Light

Splunk Light Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Rest Api Access
  • Scalability
  • User Friendly Interface
  • Customizable Reports
  • Scheduled Searches
  • Integration With Third Party Tools
  • Search And Analysis
  • Event Correlation
  • View all Features
4.5
out of 5 (4 Reviews)
Features
4.0
Ease of Use
4.0
Value for Money
4.0
Customer Support
4.0
bhagath

I found the documentation somewhat difficult for beginners to understand. I also noticed that when a long job is running, it times out. In Chrome, if I double-click on the share URL, it opens multiple pop-ups, and I am not able to copy the link.

Read all 4 Reviews

Splunk Light Features and Usability-Based User Satisfaction Score

Rating Score 9.0

Rating Score

Out of 10

No. of reviews Score 1.0

No. of reviews Score

Out of 10

Freshness Score 9.5

Freshness Score

Out of 10

Social Score 8.0

Social Score

Out of 10

Monthly website visitor Score 4.0

Monthly website visitor Score

Out of 10

Contenders | 2025

Product Description

This information is provided by vendor.

WhatsApp Contacts Filter allows you to quickly filter out the active WhatsApp numbers and eliminate the non-active numbers from any list of numbers you upload. You can use those filtered active numbers to run WhatsApp marketing campaigns. Read More About WhatsApp Contacts Filter

WhatsApp Contacts Filter Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Advanced Search
  • Data Validation
  • Bulk Actions
  • Integration With CRM
  • Contact Segmentation
  • Activity Tracking
  • Analytics Dashboard
  • Data Export
  • View all Features

Lifetime License

$ 50

Per License

Get Offer

Key Generator

$ 200

Per Keygen

Get Offer
4.5
out of 5 (4 Reviews)
Features
4.3
Ease of Use
4.8
Value for Money
4.3
Customer Support
4.0
Mariam

My mother is a traveler and has been away from me since I was young. When I downloaded WhatsApp, I got to know her better than before. I am very grateful for this program.

Read all 4 Reviews

WhatsApp Contacts Filter Features and Usability-Based User Satisfaction Score

Rating Score 9.0

Rating Score

Out of 10

No. of reviews Score 1.0

No. of reviews Score

Out of 10

Freshness Score 9.5

Freshness Score

Out of 10

Social Score 5.0

Social Score

Out of 10

Monthly website visitor Score 8.0

Monthly website visitor Score

Out of 10

Contenders | 2025

Product Description

Talend Big Data Integration is a comprehensive, low-code platform that seamlessly integrates, manages, and governs data across any environment, ensuring security and compliance. Trusted by top organizations, it drives efficiency and value through deep technology partnerships. Read More About Talend Big Data Integration

Talend Big Data Integration Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Data Masking
  • Data Mapping
  • Transform
  • Big Data Components
  • Data Orchestration
  • Metadata Management
  • Real Time Data Processing
  • Data Governance
  • View all Features
5.0
out of 5 (2 Reviews)
Features
5.0
Ease of Use
5.0
Value for Money
5.0
Customer Support
5.0
Gaurav Gupta
System Engineer

I have been using Talend Studio for the last 5 years, and it is one of the best data migration or ETL tools you can have. One of the features I really like is the level of customization it offers to developers. With Java, we can customize and do almost anything in this tool.

Read all 2 Reviews

Talend Big Data Integration Features and Usability-Based User Satisfaction Score

Rating Score 10.0

Rating Score

Out of 10

No. of reviews Score 1.0

No. of reviews Score

Out of 10

Freshness Score 9.0

Freshness Score

Out of 10

Social Score 8.0

Social Score

Out of 10

Monthly website visitor Score 4.0

Monthly website visitor Score

Out of 10

Contenders | 2025

Provider of big data management tools for IT teams

Product Description

It helps in achieving vital insights across the build, run, and secure aspects of Amazon Web Services, Azure, and other hybrid applications. Sumo Logic simplifies monitoring and managing data logs and metrics, assessing graphs and charts, and generating reports. Read More About Sumo Logic

Sumo Logic Caters to

StartUps

SMBs

Mid-Market

Enterprises

Features

  • Alerting And Notifications
  • Compliance Reporting
  • Data Enrichment
  • Log Management
  • Real Time Analytics
  • Application Performance Monitoring
  • Machine Learning Insights
  • User Access Controls
  • View all Features

Free

$ 0

month

Get Pricing

Professional Plan

$ 250

month

Get Pricing

Enterprise Plan

$ 390

month

Get Pricing
4.5
out of 5 (2 Reviews)
Features
4.5
Ease of Use
3.5
Value for Money
5.0
Customer Support
4.5
Arman Chand

We have been using Sumo Logic in our project for quite a long time. It has a smooth UI experience and is easy to use. It has many features, such as the live tail feature, which generates logs in real-time, making application debugging a lot easier. Generating real-time reports, charts, graphs, and boards helps the team maintain a record of what goes wrong and how it can be avoided in upcoming sprints. Overall, we have had a great time using Sumo Logic in our projects.

Read all 2 Reviews

Sumo Logic Features and Usability-Based User Satisfaction Score

Rating Score 9.0

Rating Score

Out of 10

No. of reviews Score 1.0

No. of reviews Score

Out of 10

Freshness Score 9.0

Freshness Score

Out of 10

Social Score 5.0

Social Score

Out of 10

Monthly website visitor Score 4.0

Monthly website visitor Score

Out of 10

big data tool and software guide

What Are Big Data Tools?

Big data tools extract large volumes of information and data from various sources and utilize algorithms to analyze this data meaningfully. Big data software is a methodology capable of handling large amounts of data and generating better insight. Big data technologies allow businesses to respond with speed and agility, enhancing operational efficiency and customer service.

Big data is a large volume of information that cannot be handled by the more traditional databases or methods of analyzing the data and getting better insight. A data storage system that can store a large data set is commonly known as a big data tool.

How Do Big Data Tools Work?

The role of big data tools is to analyze a large set of data that is near to impossible to analyze and process for insights. Big data analytics refers to collecting, processing, and analyzing data from a large data set and cleaning it for fast and better operational usage.

how do big data tools work

What we receive after this is an organized set of data that can be easily processed using the big data software available from the marketplace. The process we’re going to discuss is performed in a layered approach:

  1. Collection Of Data

    Big data platforms enable organizations to gather and mine data stores and collect both structured and unstructured data from several locations on a distributed network. Business intelligence tools can be used to access stored data.

  2. Data Processing

    After collecting and processing big data using various big data tools used, it needs to be organized adequately for better processing and to generate accurate results. Once the data gets larger in size, a batch processing approach is established to perform the task. However, there is yet to be a turnaround time for that.

  3. Data Filtering

    Cleaning the data is necessary to improve the data flow and generate better insights by removing duplicates, misconfigurations, and corruptions in the data.

  4. Data Analysis

    The accurate data is then deeply analyzed on selected parameters to provide meaningful insights. Many organizations use advanced big data tools to gain real-time business intelligence and increase operational efficiency.

Benefits of Best Big Data Software

It doesn’t matter if a business holds big data. It has to be utilized to find better insights and productivity. It is in the company’s hands how they will discover accurate data that identifies the market demand for products and services. This also helps identify potential customers and retain existing ones.

benefits of big data software

A custom AI development company must need the help of big data to generate better AI-powered services. Big data plays a vital role in artificial intelligence because AI can only be playable with the data only and react to machine learning processes.

There are many variants of the best big data software available in the market. Some key advantages of big data software include the following:

  1. Streamlines Data Storage

    Big data tools help store a large set of data easily and in a uniform place. It saves money for businesses and helps discover new solutions over storing huge amounts of data.

  2. Saves Time

    Time-saving is a key metric for any business, and big data software helps to achieve this goal. This metric helps the system collect data streams from different sources and perform analytics in real-time to generate fast decisions.

  3. Aids Market Segmentation

    Big data can help businesses segment the market. It can help to analyze market trends and identify how customers behave. Big data management tools also suggest what products and services are in demand. With the top big data platforms, businesses can follow market guidelines and develop more products that are highly in demand.

  4. Increases Customer Retention

    Maintaining your existing customers is more important than finding new ones. Big data ip tools can help forecast customers' behavior and market trends. Big data tools and technologies establish a great approach to maintaining customers and finding new ways to attain more customers.

  5. Improves Social Media Analysis

    Big data tools watch over social media platforms. Big data software tools can identify the customer's preferences, behavior, and activities. This will help the system to discover the users' and customers' interests and sentiments.

  6. Enhances Innovation & Development

    Big data tooling can help businesses find better insights into the products and services in demand. Big data management solutions helps businesses to focus on products that are in demand more. Investing in the best big data software can help companies with business research, innovation, and product development.

Features of Best Big Data Software

Big data tools have changed the meaning of businesses. Since the arrival of big data management solutions, companies have been able to harness large volumes of information for better productivity and deep research.

features of big data tools

Top big data platforms have plenty of features, and new big data management tools are evolving every day to bring more features that are essential for the industry. Some important features of the best big data tools are as follows:

  1. Result Analysis

    Results analysis of data aid in establishing new business goals, targets, and strategies. The big data model benefits from the in-depth result analysis. Big data tools and technologies help in real-time data processing, providing useful insights for corrective measures.

  2. Data Processing

    Collecting data from different sources and effectively organizing them in the system can be easily achieved by big data platforms, commonly known as big data processing tools.

    Big data software tools can collect data from various platforms like Microsoft Excel, Microsoft Access, Doc Files, and image applications. Big data tools reduce the data conversion rate and increase the data processing time.

  3. Identity Management

    Identity management is an important feature of big data platforms. Big data tooling makes it possible to go through each node in the system and collect all the data. It also manages to identify the data, secure it, and take care of the protocols and network encryption in the system.

  4. Data Encryption

    The safety and security of the data is the key element for any successful business, and the best big data software platforms ensure data safety. Single-Sign-On (SSO) feature is embedded in the software, allowing users to sign in for a single time and access their accounts and activities. Data encryption is enabled by the big data tool that encrypts the data from any external usage using several algorithms.

  5. Fraud Detection

    Fraud detection involves various layers of fraud analysis that help identify suspicious activities in the system. Big data tooling helps businesses to deal with fraud instead of only identifying them. Fraud detection can be analyzed by the data analysis tools that help the system to ensure it is safe and secure.

  6. Data Scalability

    One of the biggest advantages of big data tools and technologies is scalability. It can be rapidly scaled up depending on your business requirements and help businesses expand in a structured and streamlined manner. In addition, big data management tools provide insights-driven statistics to the system that can be useful for businesses in many ways.

  7. Version Control

    Version control is a big data software feature that helps manage compatibility between the two versions of the data handling process. So, when a new version arrives, the data tool integrates and converts the data to meet the new standards.

  8. Data Integration

    Data integration is a process that combines information from various sources. Big data tooling enables organizations to manage seamless data integration to save time and enhance workflows. If multiple data sources are integrated without modification in the data structure, it improves the data quality, lowers the system cost, and frees up unused resources.

How to Choose The Best Big Data Tools and Technologies?

Choosing the right big data tools and technologies can be daunting due to the numerous options available. Different businesses have different sets of data transactions. It requires careful consideration of various factors to make an informed decision.

how to choose the best big data tools

Let’s discuss how to choose the best big data tools and technologies for your business needs.

  1. Know Your Objectives

    Developing an objective for your business can help you find adequate big data platforms. Knowing your business goals and meeting the current and future business demands is necessary. The objectives of the business can be broken down for a better predictive analysis that helps you meet analytics goals for your business.

  2. Understand The Costs

    A thorough understanding of all costs, including monthly/yearly charges, maintenance charges, extra data charges, and membership charges, must be considered before you finalize.

  3. Assess User-Friendliness

    A big data tool that does not require coding skills or technical knowledge would be great to deploy in your business. A friendly environment and a GUI interface make it look more attractive.

  4. Ensure Advanced Analytics

    The selected big data ip tool must meet the business objectives and goals by discovering patterns and forecasting future requirements. It runs through the in-built algorithm that helps identify the data calculations to generate relevant insights from the business.

Top 9 Big Data Tools Comparison

Name
Free Trial
Demo
Starting Price

Integrate.io

Yes (14 days)

Yes (Upon request)

Contact vendor

Adverity

Yes (14 days)

Yes (Upon request) Contact vendor

Dataddo

Yes (14 days)

Yes (Upon request)

$99/month

Apache Hadoop

Free

No

Free

Cloudera

Free

Yes (Upon request)

Contact vendor

Cassandra

Free

No

Free

Knime

Free

Yes

$4,995/year

DataWrapper

Yes (14 days)

Yes

$29/month

MongoDB

Free

Yes

$0.44/hour

Big data tools have revolutionized the way businesses manage and analyze data. Check out the top ten big data tools list along with their pricing, features, pros and cons to choose the best one for your organization.

1. Integrate.io

integrate big data tool dashboard

Integrate.io is a big data platform that uses cloud-approach to integrate, collect, and process the data for data analytics. This platform collects all the data from various sources, binds them together, and implements the data to make a duplicate copy of it.

This platform requires minimal coding and provides sales data analytics, support, and marketing solutions. Its key feature is maximizing data utilization without any investment. The platform offers dedicated customer support through various channels such as email, phone, chat, and online meetings.

Features
  • Transferable data warehouse
  • Data-driven decisions
  • Customer 360 views
  • 200+ data integration
  • Secure ETL leverage
Pros
  • Cloud-based server
  • Scalable data support
  • Complex data transformation
  • Customizable API
  • Instant data access
Cons
  • 1-year minimum subscription

Pricing

  • The free trial option is available for 7 days.
  • No plans are explained.

2. Adverity

Adverity is an enhanced platform that helps track performance and flawlessly provides new and better real-time insights streaming data. One of its features integrates data from over 600 different resources and provides artificial intelligence-based data analysis.

adverity dashboard

It delivers performance statistics and details data insights upon requisition. It also provides result-driven analysis, which empowers data scientists with insights and predictable ROI for certain big data products and services.

Features
  • Proactive analytics
  • Automated integration
  • Wide data destinations
  • ISMS data protection
  • Pipeline automation tools
Pros
  • Built-in analysis tools
  • High-end security
  • Customizable reporting
  • Data transformation handling
  • 24/7 customer support
  • Flexible data support
  • 600+ data sources
  • Optimize campaigns
Cons
  • Only subscription model, no trial

Pricing

  • 14-day no-commitment free trial available
  • Subscription-based models are available

3. Dataddo

datado dashboard

Dataddo is a cloud-based, no-coding-required big data solution that provides flexibility over a wide range of connectors it has. It has several connectors that provide the ability to find the metrics. It can be easily set up in a completely different system architecture and focus on data integration. Dataddo can be easily plugged-in into your existing data stack.

Features
  • Unified integration
  • API change handling
  • Headless integration
  • Proactive pipeline monitoring
  • 200+ pre-built connectors
  • No data warehouse needed
Pros
  • Simple interface
  • On-demand pipeline creation
  • No technical skills needed
  • No maintenance required
  • Infinitely scalable
Cons
  • No trial pack is available.

Pricing

  • 14 days trial offer with a guaranteed return.
  • Monthly and customizable packages are available.

4. Apache Hadoop

apache hadoop dashboard

Apache Hadoop is a big data tool that uses a simple program to create an architecture to process large data among clusters of computers. It has a creative approach to handle single and multiple servers with no hassle identified. It is uniquely designed to identify the failure in the system and deliver high-quality service from the team.

Almost half of the Fortune 500 companies worldwide use this powerful data science tool software. It is an open-source, cross-platform network built in Java programming language to deliver robust solutions for data integration.

Features
  • Scalable multi-master DB
  • Distributed large data processing
  • Multi-master database scalability
  • Data serialization system
Pros
  • Fast data access
  • Distributed file system
  • Scalable to many servers
  • Handles large clusters
  • Use for Research & development
Cons
  • High data redundancy
  • I/O lacking for performance

Pricing

  • Anyone can obtain a free Apache license.

5. CDH (Cloudera Distribution for Hadoop)

cloudera dashboard

Cloudera Distribution for Hadoop is a completely open-source platform that meets the enterprise's needs. It includes features of the Apache Hadoop software by integrating many open-source framework platforms. It can provide a large set of dataflow in the system.

It provides businesses to perform all sorts of data activities and handles multiple data sources with unlimited data. It delivers a modern architecture for hybrid data solutions.

Features
  • Public dataflow
  • Queue data handling
  • Durable APIs
  • Automated pipelines
Pros
  • Cross-platform implementation
  • Easy data administration
  • High-end governance/security
  • Well-architected distribution
Cons
  • Complicated charting
  • Data security concern

Pricing

  • Cloudera is a free tool. The cost per node could be $1000-$2000 per terabyte.

6. Cassandra

cassandra dashboard

Cassandra never sleeps and can operate a maximum number of data superfast. It is an open-source platform that anyone can use. It is a distributed data network that is reliable to many industries for higher scalability, performance, and providing custom data solutions.

Big tycoons like American Express, GE, Accenture, Yahoo, Facebook, and others use the big data tool. It can secure the data with 100% safety even when the entire data center goes down.

Features
  • NoSQL distributed DB
  • Multi-data center
  • Unparalleled cloud scale
  • Scalable and highly available
  • Cassandra proxy for client connections
  • Masterless architecture
Pros
  • 100% availability, 0% downtime
  • Handles large data sets quickly
  • Unlimited data handling/replication
  • Ring network topology
  • Automated replication process
Cons
  • No row-level locking
  • Conventional maintenance
  • Cloud cluster improvement needed

Pricing

  • It is a completely free big data analytics tools under the Apache license.

7. Knime

knime dashbaord

Knime is an open-source big data platform that helps enterprises with data integration, analytics, redundancy, reporting, and data replication services. This platform works smoothly on Windows, Linux, and OS X. Comcast and Johnson & Johnson are some of the top companies using Knime services. It can build a visual API that can analyze a large set of complex data for precise solutions.

Knime delivers end-to-end solutions for greater data scalability in a secured environment. It can be set up easily in any environment. It can finish a lot of work automatically by using AI technology.

Features
  • Improved network & data quality
  • Scalable solutions
  • Efficient production & distribution
  • Fast insights for decision-making
  • Leverage insights from data
Pros
  • Integrable with different platforms
  • Compatible with other technologies
  • Easy setup & integration
  • Automated processes
  • Greater scalability for large data sets
  • Rich algorithms
Cons
  • High RAM usage
  • Improvement needed in data handling
  • Integration with statistics graph allowed

Pricing

Knime is an open-source free platform for analyzing most commercial big data products. However, there is pricing for the advanced level of services.

8. DataWrapper

datawrapper dashboard

DataWrapper is an open-source free big data analytics tool that delivers data visualization and other data-related services for accurate, precise, embedded charts for better insights. Some of its clients are big names like The Times, Twitter, Bloomberg, and many more.

DataWrapper provides a cloud-based environment on-based, a server approach that easily delivers charts, tables, and graphs to discover insights. It delivers responsive charts and tables that determine delivering a feasible solution. It can be easily deployed in-house, open platform, or content management system.

Features
  • Interactive charts with 19 chart types
  • Unlimited charts, maps, and tables
  • Periodic visualization updates
  • Customizable white-labeled chart themes
Pros
  • Cross-device compatibility
  • Fast and secure features
  • Exportable data analytics
  • Customizable without coding
  • User-friendly interface
  • Responsive and interactive
Cons
  • Color palettes are limited

Pricing

  • Free version is available
  • Customized and enterprise versions are available

9. MongoDB

mongodb dashboard

MongoDB is an open-source free big data analytics tool that supports multiple OS like Windows, OS X, Linux, etc., and it is written in C, C++, and Java programming languages. MongoDB is the industry’s top big data tool for enterprises' and start-ups' needs.

Business tycoons like FaceBook, Google, and eBay rely on MongoDB data services. It lowers the computing cost and increases the performance. It performs in-app searches and delivers faster results with an advanced feature called MongoDB atlas search. It is a distributed data delivery multi-cloud-based distributed data warehouse tool that covers more than 95 regions worldwide.

Features
  • Simple & expressive query API
  • Google Cloud, AWS, and Azure
  • Multi-cloud data support system
  • Unified query languages
  • Serverless and elastic
  • Cost-efficient data storage
Pros
  • Support multiple platforms & technology
  • Command lines tools
  • Multi-cloud data distribution tool
  • featured by MongoDB atlas
  • Easy to install and easy to maintain
  • Serverless end-to-end encryption
  • Data stored in the Atlas
Cons
  • Slows down in certain situations

Pricing

  • A free trial offer is available
  • Paid version of custom/enterprise solutions

Pricing Information of Big Data Platforms

The cost of big data tools varies depending on the platform's nature, quality, and features. Many vendors offer open-source free big data analytics tools with limited features, while others deliver customizable and enterprise versions.

  1. Pricing-Based On Industry

    Different industries need different solutions. Thus, the nature of the data visualization tool, quality, and storage decides the cost of the big data tool. At the same time, an enterprise solution may seek customized solutions with loads of features.

  2. Pricing Suggestions By Vendors

    Some vendors offer monthly/bi-annually/annual subscription plans that can be opted from visiting their website and sign-up for a suitable plan.

The average cost a small to mid-scale organization needs to spend is between $10,000 to $1,000,000 annually for data analytics.

Conclusion

You are now aware that ample tools are available for big data exploration, analysis, and database operations. Some big data tools are free, while others offer trial and paid versions. It is essential to analyze your core industry's requirements and look for the right big data tool. Developing a fair sketch of necessary attributes from existing businesses predicts what features and tools a business will require to evaluate and discover better insights.

Anyone uncertain about investing in big data software tools is recommended to use the trial version. It will connect you to existing users' reviews. After satisfaction, you may go for paid versions like customized or enterprise solutions depending upon your business needs.

FAQs

Can big data management software integrate with other data-related tools and software?

Yes, big data platforms can integrate with other data-related tools and software using various methods, such as APIs, ETL tools, and data warehouses.

What data sources can be analyzed using big data tools and technologies?

3 types of data sources can be analyzed using big data tools and technologies:

  1. Relational
  2. Multidimensional (OLAP)
  3. Dimensionally modeled relational

How do data tools differ from traditional data management systems?

Centralized architecture is the foundation of the data handling capacity of the traditional platforms, while big data tooling platforms require a distributed network over the cloud server approach.

Big Data Tools Reviews

Oxylabs

5

All of the proxies work well, running at the speed they promised. I don't need to develop and maintain my own scraping infrastructure; Oxylabs helps with that.

Denis Sledge
IT Manager

WhatsApp Contacts Filter

5

My mother is a traveler and has been away from me since I was young. When I downloaded WhatsApp, I got to know her better than before. I am very grateful for this program.

Piperr

5

Piper is a tool for telecommunications. We can see the cable lines and buildings along with Citrix. Additionally, we can see addresses everywhere in the world. It is user-friendly and good software overall.

Talend Big Data Integration

5

I have been using Talend Studio for the last 5 years, and it is one of the best data migration or ETL tools you can have. One of the features I really like is the level of customization it offers to developers. With Java, we can customize and do almost anything in this tool.

Compare 3 Products:
Compare Now
Remove All

Last Updated: August 20, 2024