Best Data Management Software

Best data management software includes Collibra, Google Cloud, Improvado, IBM, 1010data, and Amazon Web Services. These data management tools allow organizations to store and manage large amounts of data in a centralized and organized manner.

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List of 20 Best Data Management Software

Showing 1 - 20 of 161 products

Software by Apollo.io

Apollo.io is a fully featured Lead Management Software designed to serve Startups, SMEs. Apollo.io provides end-to-end solutions designed for Windows. This online Lead Management system offers Statistical Analysis, Lead Management, Call Recording, Training Management, Territory Management at one place. Read Apollo.io Reviews

Most Reviewed

Model and plan business processes for better decis

Oracle Fusion Cloud Enterprise Performance Management (EPM) helps enterprises model and plan across finance, HR, supply chain, and sales for better decision making. Read Oracle Fusion Cloud EPM Reviews

Leading enterprise-grade relational database

Oracle Database is leading enterprise-grade relational database that offers secure data management and transaction processing. It provides organizations with enterprise-scale database technology stored in the cloud or on premises. Read Oracle Database Reviews

Productivity and Collaboration Tools

Shivaami is an authorized Google Cloud Partner, that offers Google Workspace, formerly known as G Suite, a cloud-based productivity and collaboration suite developed by Google. It includes a variety of applications such as Gmail, Google Drive, Docs, Sheets, etc. Read Shivaami Reviews

Software by ZenRows, Inc

ZenRows is a fully featured Data Extraction software designed to serve SMEs, Startup, Agencies, Enterprises. ZenRows provides end-to-end solutions designed for Web App. This Data Extraction software offers Image Extraction, Email Address Extraction, Phone Number Extraction, Web Data Extraction at one place. Read ZenRows Reviews

Emergents | 2024

Consistent data backup management tool for businesses

NetApp Backup and Recovery is a Data Management Software that enables you to store, organize, manage, and backup sensitive data and business information. It offers advanced big data management tools for superior data/information control. Read NetApp Backup and Recovery Reviews

Emergents | 2024

Data synchronization software for seamless scalability

Vin MDM is a clinical data management software that helps you integrate and synchronize your content across multiple channels. It provides features like Data Governance, Hierarchy Management, Metadata Management, Process Management, Relationship Mapping, and Multi-Domain. Read Vin MDM Reviews

Category Champions | 2024

Asset management solution for increased workforce productivity

AssetWorks is a Data Management Software that helps you with data integration, workforce mobilization, and data visualization. It offers big data management tools like Compliance Management, Service Request Management, Fixed Asset Management, and Customer Database. Read AssetWorks Reviews

Contenders | 2024

Robust data management tool for large enterprises

Vaultastic is a master data management software that caters to the need of large enterprises in banking, financial, healthcare, and government sectors. This cloud-based email archiving solution provides Email Monitoring, Data Recovery, and Archiving / Retention. Read Vaultastic Reviews

Emergents | 2024

High-performance data virtualization and governance solution

Data Virtuality Logical Data Warehouse is a powerful Data Management Software that helps you achieve superior data quality and governance. It provides features like Extract / Transfer / Load, Multiple Data Sources, Metadata Management, and Web Services Read Data Virtuality Logical Data Warehouse Reviews

Contenders | 2024

Digital identity management software

KYC Block is a blockchain-based digital identity management solution for FinTech Industry. It stores, and manages KYC documents of individuals and companies in a decentralised hyper ledger for reduced customer onboarding time. Read KYC Block Reviews

Category Champions | 2024

Data digitization and integration platform for enterprises

Kizeo Forms is one of the Best Data Management Software that caters to all industries ranging from construction to agriculture. Key features include Budget Tracking/Job Costing, Contract Management, Incident Reporting, Subcontractor Management, and Estimating. Read Kizeo Forms Reviews

Contenders | 2024

Enterprise-grade solution for all data integration requirements

Dell Boomi is a master data management software that helps you overcome IT complexity. This best data management software enables you to integrate on-premise and cloud applications, thus, helping you unlock productivity and increase efficiency. Read Dell Boomi Reviews

Emergents | 2024

Leverage cutting-edge property management technology with flexibility

MRI Software is one of the Best Data Management Software that provides you with powerful property management tools to overcome modern-day business challenges. Key features include Billing, Invoicing, Commercial/Residential Property Management, and Owner Portal. Learn more about MRI Software

High Performer | 2024

Seamlessly solve your digital transformation challenges

Pimcore is a customer data management software that is ideal for CIOs and CTOs of small-large enterprises who are struggling to embrace the digital transformation. It offers Data Modeling, Documentation/Master Record Management, and Content-Syndication Learn more about Pimcore

Emergents | 2024

Smart & Simple software to recover OST file

Exchange OST Recovery software to easily repair and recover with converting your corrupted OST file into PST file format without any clog. There are many reasons for corruption of OST files like MS Outlook and exchange server synchronization error, Abnormal terminal etc. Learn more about ATS Exchange OST Recovery

High Performer | 2024

Impress LiveStock is web Based ERP Software for Poultry/Cattle Feed Plant, Breeder, Layer, Broiler farm and Hatchery. We do implement ready to use Integrated ERP software with flexible customization facility as per your business needs. Provides auto SMS/Email Alerts. Learn more about Impress LiveStock

High Performer | 2024

Data management tools for SMEs and startups

Mammoth is a customer data management software that allows you to create workflows with ease. It offers a wide range of features, such as Data Visualization, Text Analytics, High Volume Processing, and Data Discovery. Learn more about Mammoth

Category Champions | 2024

Cloud-based data management platform for industry professionals

SAS Data Management is a clinical data management software that provides robust tools for managing complex business processes. Key features include Data Capture, Master Data Management, Information Governance, Data Quality Control, Data Migration, and Data Analysis. Read SAS Data Management Reviews

Category Champions | 2024

Software by Software AG Government Solutions

Connecting disparate systems over the federal government and supplier center and highly trained team takes a special forces approach to resolve complex IT challenges quickly and efficiently for the federal government also its supplier communities. Read Software AG Reviews

data-management-software-guide

The ability to effectively control and analyze substantial volumes of data from multiple sources holds immense value for businesses, especially in today's digital landscape. Since data is among the most valuable resources, it's no wonder it assists enterprises in achieving a lasting competitive advantage.

So, how can a business manage such an influx of data from various sources? Here's a hint: it must develop a solid data management strategy. And to effectively implement this strategy, businesses primarily require robust data management software.

What Is Data Management Software?

Data management software is a system used to build and maintain a structure that stores, handles, and preserves the essential data for a contemporary business. This software allows users to craft a personalized database that fits their needs for analysis and generating reports.

Data management software is crucial for the core of a company's IT framework, merging all phases of information existence. An encompassing data management system for the entire organization can be created, executed, and upheld through database software planning.

Who Uses Data Management Tools?

Enterprise data management tools serve a diverse range of professionals who depend on well-structured data for making informed decisions and conducting analysis. Here are some primary users -

  1. Data Analysts and Data Scientists

    Data analysis and scientific exploration professionals rely heavily on data management tools. These tools streamline the intricate tasks of data extraction, preparation, and manipulation, all essential for insightful analysis. By utilizing these utilities, analysts are empowered to unearth meaningful insights from raw, untamed data, consequently facilitating the decision-making process.

  2. Database Administrators (DBAs)

    Database Administrators (DBAs) utilize data management tools to supervise and enhance database operations effectively. These tools assist in various tasks, including creating and updating databases, optimizing performance, and resolving issues. Their role guarantees the seamless functionality of data repositories, contributing to a well-operating data environment.

  3. Business Intelligence (BI) AnalystsBusiness Intelligence (BI) Analysts

    Data management tools are crucial for business intelligence analysts. These professionals rely on them to extract valuable insights from extensive datasets. Also, the tools facilitate data integration, aiding BI analysts in crafting detailed reports, dashboards, and visual representations.

  4. Data Engineers

    Data engineers shoulder the responsibility of creating and keeping data pipelines and infrastructure. Data management tools are pivotal in this capacity by supervising crucial processes such as data integration, transformation, and purification. Ultimately, these tools are essential in establishing dependable and efficient data pipelines.

What are the Benefits of Data Management Software?

When dealing with large amounts of data, using big data management tools can be highly beneficial.

It can help produce high accuracy and efficiency when managing business-critical information. It brings with it many other advantages that allow for quick data analysis, resulting in improved decision-making. 

Let’s look at some advantages of using enterprise data management tools.

1. Easy Integration of Global Data

We live in a digital era, and companies are looking for ways to expand their operations overseas.

That’s why it increases the need to ensure an approach that can unify data from local and global presence. The system of franchising of business has enabled businesses to build their presence in different locations. Thus, data must be collected from many other areas, and not all are in the same format.

You can quickly bring this data together in a standardized format with the help of data management software. It can consolidate different data into one and run a quick analysis.

2. Multiple Storage Options

Every business environment has different requirements. The best thing is that the online data management system can easily be deployed on a cloud-based server or as a traditional legacy system. Besides, the cloud-based option is not so costly to set up as it doesn’t require any extra installation of the hardware.

3. Enhances User-End Productivity

Using data management tools increases efficiency in how the data is being gathered, managed, and analyzed.

It makes it possible to generate better quality information that can be used to make intelligent decisions for future growth. The tool converts data into significant insights. Plus, all users can easily access it, which helps them take quick and informed actions based on the reports.

4. Reduces the Risk of Loss of Data

An online data management software comes with a backup and recovery system. It provides a separate process for backing up your data. If your hard drive crashes, you can quickly recover your data from the remote server.

If the system fails in the middle of the software update, the software can restore the database to its original state again.

5. Integrity Constraints

The best data management software can enforce certain types of database constraints. This is necessary to ensure that the users enter valid information and that the integrity of the data is maintained. For instance, data uniqueness is a constraint that ensures that no duplicate data is entered.

These constraints can be simple as well as complicated.

Key Features of Data Management Software

Data management is essential as it can help all aspects of the organization. That’s why data management software is an integral part of every business.

Some of the essential features of the best master data management tools include:

1. Data Storage

Data management software is a database whereby all the critical data files are stored permanently. It reduces the chance of losing any data as the backup is made. So even if the data gets lost or deleted by mistake, one can quickly recover it. Thus, organizations don’t have to worry about the risk of losing essential data files.

2. Data Quality

When many users have control of the database, it increases the chance of data duplication. However, by using database management software, one can easily avoid data duplication and redundancy. 

An effective data management system creates a single data repository, which helps reduce data repetition. Besides, it ensures that the quality of data analysis is not compromised by filling the gaps in missing information.

3. Data Security

One of the biggest concerns for organizations handling a large amount of data is security.  An online data management software offers a high level of security by including features like encryption, access control, and tokenization.

The system has admin-based control, which means users with permission can only access the system.

Only the department head or administrator can modify the database; thus, the data's sensitivity is maintained and protected from breaches.

4. Data Control

Another important feature of big data management software is that it gives you control over data. That means you can easily view and identify the changes in data if any.

In fact, as an admin, it can promptly alert you by sending out notifications for any changes made by any users.

5. Multi-User Access and Environment Support

Data management software can support multiple users, which enables several users to access and work on data at the same time.

Furthermore, it supports different views of the same data. More precisely, the database will be accessed by multiple users on multiple operators. Thus, it might need additional database view support for easy accessibility of the system.

6. Workflow Optimization and Analytics

The data management tool not only collects data but it combines and integrates them to provide useful insights, forecasting, modeling, and trend analysis.

It provides insights into your workflow and shows how they are performing to help you optimize your business process.

What are the Uses of Data Management Software Across Different Industries?

Data management software is widely used for various purposes across various industries, from banking to the healthcare sector, the automobile industry, the manufacturing hub, education, and many more.  

It is used for various purposes by different industries. For instance, the banking sector needs it to store client info, account activities, credits, disbursements, and mortgages. Similarly, the telecommunication industry needs it to keep call archives and retain balances.

Some of its uses are as follows:

1. Data Warehousing

Data warehousing is merely transforming information into data and making it accessible to everyone in the organization.

Data warehouse management software consolidates data collected from multiple stores into a single data warehouse and creates meaningful reports and analytics. In fact, many advanced management software includes functionalities like auto-mapping, data mining, and more of both structured and unstructured data.

2. Data Compliance

Every industry, banking and finance, food and beverage, government organization, and more, has sure compliance to follow and maintain.

Besides, these compliance laws and regulations are continually changing. Data management tools can help maintain regulatory data compliance according to privacy laws. It ensures that organizations don’t face unnecessary penalties.

3. Data Analytics

The primary purpose of data management software is to analyze the data and derive meaningful insights from the pattern that can help businesses make intelligent decisions.

Every industry has an unprecedented amount of data generated and collected. These data management tools can support analytical processing. It helps with trend analysis, forecasting, and much more.

In short, it enables businesses to make informed decisions independently.

4. Data Governance

Enterprise data management tool helps organizations employ the best industry practices and policies to set the framework for collecting and using the data. It ensures reliability, security, and effectiveness with security management software. Furthermore, it enables businesses to establish user-defined roles and admin-based control.

How to Choose the Right Data Management Solution?

Choosing the right data management solution is a crucial choice that can significantly impact a business's efficiency and achievements. The following part lists steps to find a suitable data management solution tailored to your specific requirements.

  1. Identify Your Data Management Needs

    Begin by understanding your specific data management requirements. Different businesses have unique data challenges and goals. Identify the types of data you deal with, the volume of data, and the processes involved in data management. This self-assessment will serve as a foundation for evaluating potential solutions.

  2. Evaluate Software Features

    Next, carefully evaluate the features offered by various data management solutions. Consider factors like data integration, transformation, cleansing, and security. Also, confirm that the software equips you with the tools essential for your requirements. A comprehensive range of features guarantees the capability of your chosen solution to manage all facets of data adeptly.

  3. Data Support and Customer Service

    When incorporating a data management solution, the importance of high-quality customer support cannot be overstated. Look for vendors who provide dependable customer service, including technical aid and swift issue resolution.

    Remember, a responsive support team can make a difference in successfully deploying and using the software to its full potential.

  4. Compatibility with Data Formats

    Your data might exist in various formats and structures. Confirm that the selected data management solution is compatible with the prevalent data formats within your organization. It should be able to manage various data sources and convert them into a unified format suitable for analysis and reporting purposes.

  5. Vendor Reputation

    Lastly, vendor reputation plays a significant role in the selection process. Research the vendor's track record in delivering reliable data management tools. In addition, read customer reviews and testimonials to gain insights into previous users' experiences. A vendor with a solid reputation is more likely to offer a credible and efficient solution.

Top 5 Data Management Tools Comparison

Name
Free Trial
Demo
Pricing

Microsoft SQL Server

14 Days

Yes

Starting price at $209 - (Standard - CAL)

Oracle Database

30 Days

Yes

On Request

IBM Db2

7 Days

Yes

Starting price at $99/month

SAP HANA

30 Days

Yes

Starting price at $0.8/capacity//month

Informatica

30 Days

Yes

On Request

There are several data management platforms and tools that stand out for their efficiency, versatility, and reliability. Here are the top 5 data management tools in 2024:

1. Microsoft SQL Server

The Microsoft SQL Server Business Intelligence (BI) Edition presents a software solution tailored for enterprises of varying scales. This system encompasses both database management and BI capabilities. Within its framework, users gain access to a relational database management system, facilitating the retrieval of enterprise data through structured query language. The software empowers users to engage in intricate database analysis.

Furthermore, the product incorporates a BI Semantic model, enabling users to extract and dissect data from diverse sources.

Features
  • Object storage integration
  • Data virtualization
  • In-memory OLTP management
  • 3D visualization framework
  • Virtual reality (VR) support
Pros
  • The platform offers rapid and efficient retrieval of extensive data.
  • Thanks to its well-documented and longstanding history, it offers a consistent global platform for all its users. 
  • SQL is easy to learn and understand and can answer complex questions quickly.
Cons
  • SQL possesses a challenging interface that some users might find uneasy when interacting with the database.
  • Setting up and managing SQL databases can be intricate, necessitating proficient database administrators.

Pricing

  • Pricing starts from as low as $230 to $15,123, with free plan available.

2. Oracle Database

Oracle Corporation has developed Oracle Database, a highly regarded multi-model database management system. Clients can access various versions of Oracle Database, including cost-effective and high-performance options and in-memory, NoSQL, and MySQL databases.

You can use this solution through different service providers, whether on-site, in the cloud, or a combination of both. It's also possible to run it on Oracle hardware, like Exadata for on-site use, Oracle Cloud, or Cloud at Customer setups.

Features
  • 3D visualization framework
  • Virtual reality (VR) support
  • Active directory integration
  • Data integration and collaboration
Pros
  • Oracle database works on many platforms, unlike its competitors.
  • Using Oracle database, you can easily recover to a specific time.
  • Oracle database makes things work faster, including transactions and locking.
Cons
  • It's not good to use Oracle if users lack technical knowledge.
  • Oracle is usually harder to manage for some tasks.

Pricing

  • Contact Oracle to get accurate and up-to-date pricing details.

3. IBM Db2

IBM Db2 emerges as a hybrid data management platform, integrated with AI capabilities. This suite facilitates the management of structured and unstructured data across both cloud and on-premise environments for organizations. Leveraging IBM Db2, professionals can extract valuable insights regarding customer behavior and discern potential opportunities through predictive analysis.

Furthermore, IBM Db2 on Cloud presents an array of functionalities, encompassing data federation, point-in-time recovery, and High Availability Disaster Recovery (HADR) with support for multiple zone regions. This empowers developers to manage workloads effectively.

Features
  • AI-powered functionality
  • Real-time analytics
  • Active directory integration
Pros
  • Many users can access data at the same time because of high concurrency.
  • Oracle databases work with older versions, so businesses can upgrade without big changes.
  • Oracle does well with complex tasks and works fast.
Cons
  • If DB2 doesn't work well with other software, queries might not give the right answers.
  • Learning DB2 takes time, and it needs experts to reach full potential.

Pricing

  • IBM Db2 offers six pricing editions, ranging from a free trial to $13,651.

4. SAP HANA

SAP HANA Cloud emerges as a dual-purpose solution, serving as both a database management and platform-as-a-service (PaaS) offering. This solution is invaluable for businesses, regardless of size, in designing, testing, and deploying web applications. Software developers benefit from its capacity to access and analyze data across various business units. Moreover, the solution facilitates the monitoring of data processing performance through hybrid transactions.

SAP HANA Cloud empowers employees to engage in data analytics on real-time transactions. This aids in optimizing the balance between cost and performance through a unified portal.

Features
  • Columnar data storage
  • Parallel processing
  • In-memory database system
Pros
  • It can handle big data even during business operations, giving quick real-time insights.
  • Using in-memory tech, data processes and transactions become super fast since data is in RAM.
  • SAP HANA can get data from different outside sources due to its source-agnostic capabilities.
Cons
  • SAP HANA only works with specific hardware like SAP or SUSE Linux-certified hardware.
  • Since it needs certain hardware, using SAP HANA can be expensive.

Pricing

  • Pricing starts from 9.60 USD per capacity unit per year, and there's also a free trial available.

5. Informatica

Informatica PowerCenter stands as a versatile tool for data integration and visualization. This solution serves as an enterprise-level data integration platform, facilitating data access, transformation, and integration from diverse systems. It's meticulously designed to support organizations across the entire project lifecycle, from the initial launch to vital deployments. 

Informatica PowerCenter fosters collaboration between developers and analysts, expediting project deployment timelines to days rather than months.

Features
  • Automated data validation testing
  • Advanced data transformation
  • Prototyping, profiling and validation
Pros
  • Informatica uses top techology to make things better, faster, and higher quality.
  • The platform helps with many databases like TPump, Teradata MLoad, and more.
  • It keeps track of errors in one place and helps teams fix them.
Cons
  • Users who are not familiar with data interation will find Informatica complex to use.
  • Scaling the platform for big data projects can be challenging.

Pricing

  • Contact Informatica to get started with pricing plans.

Latest Trends in Data Management Software

In a rapidly changing business landscape, data management software is evolving due to technology and industry shifts. Here we'll explore the latest trends shaping this field.

  1. Cloud-Based Data Management

    Cloud-based solutions have revolutionized data management. Businesses are increasingly adopting cloud platforms to store, process, and manage their data. Cloud-based data management offers scalability, flexibility, and accessibility, allowing organizations to adeptly manage their data without the need for extensive on-premises infrastructure.

  2. AI and Machine Learning Integration

    The concept of artificial intelligence has been present for a considerable period. However, its true potential is only recently starting to manifest. These tools enable data management software to automatically identify patterns, detect anomalies, and formulate predictions. This AI-driven methodology improves data quality, hastens integration, and furnishes valuable insights for more informed decision-making.

  3. Self-Service Data Preparation

    Self-service data preparation empowers non-technical users to clean, transform, and analyze data without relying on IT departments. Modern data management software incorporates intuitive interfaces, allowing business users to prepare and format data independently. This trend promotes agility, as users can quickly access the data they need for analysis.

  4. DataOps

    DataOps is an emerging approach that centers on collaboration between data experts and IT operations teams. Its objective is simplifying and automating data management procedures, from data integration to deployment. DataOps underscores data pipelines' ongoing integration, delivery, and monitoring, ensuring a more effective and responsive data management workflow.

Conclusion

In the constantly growing digital world, effective data management plays a crucial role in the success of business activities. The appropriate data management software enables companies to manage data efficiently, maintain precision, and make well-informed decisions.

By keeping up-to-date with current trends and thoughtfully choosing tools that match their requirements, businesses can confidently navigate the future shaped by data.

FAQs

The cost of data management software can vary depending on what it can do. For a data management platform (DMP), the usual price is between $1,000 and $6,000 each month.

Yes, data management software is created to manage big sets of data. Its purpose is to handle and arrange data in an effective way.

Last Updated: February 29, 2024