Best Big Data Companies

Find the best Big data Company for your business! With more than 163 verified Big data Companies, we at SoftwareSuggest provide you with a consolidated list of best Big data players fitting in your criteria. These experts can convert your expectations into reality! Join hands with us as we bring the industry's best services with genuine client reviews and testimonials. Cast aside your worries and enjoy our services while you achieve your goals!

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List of 20 Best Big Data Companies

Showing 1 - 20 of 188 products

ApiScrapy is a part of AIMLEAP - a global technology consulting and service provider offering Digital IT, AI-augmented Data Solutions, Automation, and Research & Analytics Services. Read AIMLEAP Reviews

<$100

< $25/hr

50-249

Recent Review

"ApiScrapy: The Vanguard of Security and Efficiency" - Jameson Ford

#1

Damco is a US-based technology solutions and IT Services company providing customer-centric services in digital, data, product development, technology outsourcing, and managed engagements. Read Damco Solutions Private Limited Reviews

$5,000+

$25 - $49/hr

1,000-9,999

Recent Review

"Exceptional Document Remediation Outcomes" - Steffan Marker

#2
Most Reviewed

Checkmate is a global technology services startup with vast experience in software development outsourcing, cloud computing services, DevOps management, offshore IT Services, offshore production support, software product engineering. Read Checkmate Global Technologies Reviews

<$100

< $25/hr

10-49

Recent Review

"good experience " - Sudhakhar

#3

Etelligens Technologies is a Artificial Intelligence service provider. It specializes in Non-Voice BPO/Back Office Services, Voice Services, Product Design, Web Designing(UI/UX), Business Consulting, Big Data, It Services, Wearable App Development, CRM Consulting And SI, AR/VR Development, Software Development, Web Development, Artificial Intelligence, Mobile App Development, IOT Development services. The company has its head office located at Miami and was founded in the year 2015. Around 50-249 people are currently working at Etelligens Technologies . Read Etelligens Technologies Reviews

$1,000+

< $25/hr

50-249

Recent Review

"Mobile App Development for Restaurant" - Sam Curran

#4

AIMLEAP - Outsource Bigdata is ISO 9001:2015 and ISO/IEC 27001:2013 certified global technology consulting and service provider. We offer Digital IT, AI Augmented Data Solutions, Automation, and Research & Analytics Services. With automation-first approach. Read Outsource Bigdata Reviews

$1,000+

< $25/hr

50-249

Recent Review

"Exceptional AI Web Scraping and Automation Services" - Richard Soultanian

#5

Jellyfish Technologies is a next-gen software development company that pursues innovation and breakthroughs in technology & products development. Our UI/UX design, engineering, and technology skills to transform the ideas into unique, relevant, and purposeful softwares. Read Jellyfish Technologies Reviews

$10,000+

$50 - $99/hr

10-49

Recent Review

"Thank You For The Amazing Service" - Andress Baldessari

#6

Algoscale Technologies, Inc. is a Artificial Intelligence service provider. It specializes in Web Development, Cloud Computing Services, Artificial Intelligence, Big Data services. The company has its head office located at Noida and was founded in the year 2014. Around 10-49 people are currently working at Algoscale Technologies, Inc. . Learn more about Algoscale Technologies, Inc.

$5,000+

< $25/hr

10-49

#7

RINF TECH is a Software Development service provider. It specializes in Application Management & Support, Application Testing, It Services, Cloud Computing Services, Big Data, UX/UI Design, IOT Development, Artificial Intelligence, Software Development services. The company has its head office located at Bucharest and was founded in the year 2006. Around 250-999 people are currently working at RINF TECH . Learn more about RINF TECH

$5,000+

$25 - $49/hr

250-999

#8

Liquid Technologies is a Big Data company. It provides services like Web Development, IT Staff Augmentation, Mobile App Development, UX/UI Design, Big Data, Artificial Intelligence, Software Development. The company was founded in 2017 and its head office is located in Karachi. Their estimated employee size is around 1-25 employees. Learn more about Liquid Technologies

$21 - $50/hr

1-25

#9

Marlabs Inc is a CRM Consulting And SI service provider. It specializes in Web Development, IOT Development, Big Data, AR/VR Development, ERP Consulting And SI, UX/UI Design, Blockchain Technology, Mobile App Development, It Services, Application Testing, Cloud Computing Services, Application Management & Support, Enterprise App Modernization, Software Development, Artificial Intelligence, CRM Consulting And SI, Cybersecurity services. The company has its head office located at Piscataway and was founded in the year 1996. Around 1,000-9,999 people are currently working at Marlabs Inc . Learn more about Marlabs Inc

$100,000+

1,000-9,999

#10

Get transparency around your data with GoSimplo. With financial, employee performance, and client dashboards, all-in-one reporting is now a reality. Connect your systems for free and get the metrics you need in minutes. Learn more about GoSimplo

$100+

2-9

#11

Icon Resources & Technologies is a It Services service provider. It specializes in It Services, Cloud Computing Services, Big Data services. The company has its head office located at Singapore and was founded in the year 1999. Around 50-249 people are currently working at Icon Resources & Technologies . Learn more about Icon Resources & Technologies

50-249

#12

ADVANCE.AI is a Big Data service provider. It specializes in Artificial Intelligence, Big Data services. The company has its head office located at Beijing and was founded in the year 2015. Around 10-49 people are currently working at ADVANCE.AI . Learn more about ADVANCE.AI

$5,000+

$50 - $99/hr

10-49

#13

Hivex recruits and onboards specialized remote developers that match your project's technical and cultural needs. The pre-vetted talent network delivers qualified candidates within 72 hours. . Learn more about Hivex

$25,000+

50-249

#14

From vision creation to end-to-end digital execution, GrowExx will help to streamline your growth. As an extended hand of your company, GrowExx will help you achieve the success you deserve. Our motto is: WE ARE WITH YOU, NOT FOR YOU. Learn more about GrowExx

$25,000+

$25 - $49/hr

50-249

#15

bluCursor Infotech Private Limited is a Cloud Computing Services service provider. It specializes in IOT Development, Ecommerce Development, Mobile App Development, It Services, Big Data, Software Development, Cloud Computing Services services. The company has its head office located at Indore and was founded in the year 2013. Around 10-49 people are currently working at bluCursor Infotech Private Limited . Learn more about bluCursor Infotech Private Limited

$5,000+

$25 - $49/hr

10-49

#16

Vibidsoft is a Web Development service provider. It specializes in Branding, Content Marketing, IOT Development, Pay Per Click, Big Data, Logo Design, Application Testing, It Services, Direct Marketing, Ecommerce Development, Digital Consulting, Email Marketing, Application Management & Support, Mobile App Development, Software Development, UX/UI Design, Web Designing(UI/UX), Social Media Marketing, Web Development services. The company has its head office located at Ahmedabad and was founded in the year 2014. Around 10-49 people are currently working at Vibidsoft. Learn more about Vibidsoft

$5,000+

$25 - $49/hr

10-49

#17

Four Ages provides comprehensive software development solutions tailored to clients' varied business requirements and tech goals of different complexity. We support businesses, product companies and startups with custom software services. Learn more about Four Ages Software

$10,000+

$25 - $49/hr

10-49

#18

WeblineIndia is a Mobile App Development service provider. It specializes in Mobile App Development, Software Development, Ecommerce Development, Web Development services. The company's head office is located in s:0:"";. Around 50-249 people are currently working at WeblineIndia. Learn more about WeblineIndia

$5,000+

$25 - $49/hr

50-249

#19

Veltris is a next generation technology services company specializing in developing products, platforms and solutions in Data & Artificial Intelligence (“Data/AI”), Engineering R&D (“ER&D”) and Digital Product Engineering (“PES”). Learn more about Veltris

$50,000+

250-999

#20

big-data-companies-guide-by-softwaresuggest

Big data companies offer an array of solutions and services tailored to collect, process, analyze, and derive actionable insights from vast and complex datasets.

This comprehensive guide aims to assist buyers in navigating the diverse landscape of big data providers. Whether you're a small startup, a medium-sized enterprise, or a large corporation, selecting the right big data company can significantly impact your business operations, innovation, and overall success.

What Is Big Data?

Big Data refers to large and complex sets of data that exceed the capabilities of traditional data processing methods. It encompasses immense volumes of structured, semi-structured, and unstructured data generated from various sources, including sensors, social media platforms, business transactions, multimedia content, and more. The term "big" in Big Data doesn't merely refer to the size of the data but also encapsulates the velocity at which data is generated, the variety of data types, and the complexity of handling and analyzing it.

Big Data is characterized by the 3Vs - Volume (the vast amount of data), Velocity (the speed at which data is generated), and Variety (the diversity of data types). This data holds valuable insights and patterns, and its analysis can unveil correlations, trends, and associations that aid in making informed decisions, improving business strategies and scientific discoveries, enhancing customer experiences, and solving complex problems across various industries.

Big Data technologies and analytics techniques such as data mining, machine learning, and predictive analytics are crucial in extracting meaningful insights from these massive datasets, driving innovation and competitiveness in today's data-driven world.

What Exactly Does A Big Data Analytics Company Do?

A Big Data Analytics company specializes in handling vast and complex datasets to extract valuable insights and meaningful patterns. These companies employ advanced technologies, tools, and methodologies to collect, process, analyze, and interpret extensive volumes of structured, semi-structured, and unstructured data.

Their primary focus involves utilizing various statistical techniques, machine learning algorithms, and data mining approaches to uncover trends, correlations, and hidden patterns within the data. Big Data Analysts work on data cleaning, normalization, and transformation, ensuring the accuracy and reliability of the information.

By utilizing sophisticated analytics tools and visualization techniques, these companies present insights in a comprehensible manner, often through dashboards, reports, and visual representations. The ultimate goal of a Big Data Analytics company is to assist businesses in making data-driven decisions, improving operational efficiency, optimizing strategies, predicting future trends, and gaining a competitive edge in their respective industries.

Why Do Organizations Need A Big Data Solution?

Organizations today face an unprecedented influx of data from various sources, such as transactions, social media, sensors, and more. The sheer volume, velocity, and variety of this data make it challenging for traditional data processing methods to handle. Hence, organizations require Big Data solutions to effectively manage and derive value from this vast amount of information.

Big Data solutions offer the capability to store, process, and analyze massive datasets efficiently. By harnessing advanced analytics techniques and technologies, these solutions enable organizations to uncover hidden patterns, correlations, and insights within the data that were previously inaccessible.

These insights aid in making informed decisions, identifying market trends, predicting customer behaviors, optimizing operations, enhancing product development, and gaining a deeper understanding of their business environment. Ultimately, implementing a Big Data solution empowers organizations to leverage their data as a strategic asset, driving innovation, improving competitiveness, and fostering growth in today's data-centric business landscape.

Who Needs Big Data Companies?

The need for leveraging Big Data has become crucial across various industries. Big Data Companies play a pivotal role in assisting organizations in harnessing the power of extensive datasets to derive valuable insights. Let's explore specific sectors that greatly benefit from the services offered by Big Data Companies:

beneficiaries-of-big-data-companies-by-softwaresuggest

  1. Technology Companies

    Technology firms deal with vast amounts of user-generated data, requiring advanced analytics to understand user behavior, improve products, and enhance user experiences. Big Data Companies help tech firms analyze customer preferences, optimize software, and implement data-driven strategies for innovation.

  2. Financial Services

    In the finance sector, Big Data is essential for risk assessment, fraud detection, algorithmic trading, and personalized customer services. Big Data Companies assist in analyzing market trends, customer spending patterns and ensuring regulatory compliance through sophisticated analytics.

  3. Healthcare

    Big Data revolutionizes healthcare by analyzing patient records, medical imaging, and genomic data for personalized treatment plans, drug discovery, disease prediction, and improving healthcare delivery. Big Data Companies aid in extracting insights to enhance patient care and optimize operational efficiencies within healthcare systems.

  4. Education

    Big Data transforms education by analyzing student performance, learning patterns, and educational content to tailor personalized learning experiences. Big Data Companies assist educational institutions in implementing adaptive learning technologies and improving academic outcomes through data-driven insights.

  5. Government

    Government agencies deal with vast amounts of data related to citizen services, public safety, transportation, and more. Big Data Companies provide analytics solutions to analyze data for policy-making, infrastructure planning, resource allocation, and enhancing government services' efficiency.

  6. Marketing and Advertising

    For marketers, Big Data is crucial for targeted advertising, customer segmentation, sentiment analysis, and campaign optimization. Big Data Companies help in analyzing consumer behavior, trends, and preferences to devise effective marketing strategies that yield higher ROI.

What Are the Benefits Of Using Big Data Companies?

The utilization of Big Data has become imperative for organizations seeking to derive meaningful insights and gain a competitive edge. Big Data Companies play a pivotal role in helping businesses harness the vast potential of their data. Let's explore the myriad benefits of leveraging Big Data providers:

benefits-of-using-big-data-companies-by-softwaresuggest

  1. Data-Driven Decision Making

    Big Data Companies empower organizations to make informed, data-driven decisions. By analyzing extensive datasets, these companies extract actionable insights, enabling businesses to identify trends, patterns, and correlations within the data. This facilitates more accurate, strategic decision-making across various departments and operations.

  2. Enhanced Customer Insights

    Understanding customer behavior and preferences is critical for businesses. Big Data Companies utilize analytics tools to analyze customer data, providing detailed insights into consumer behaviors, preferences, and buying patterns. This enables businesses to tailor products, services, and marketing strategies to meet customer needs more effectively.

  3. Risk Management

    In sectors like finance and insurance, managing risk is crucial. Big Data Companies employ predictive analytics to assess and mitigate risks by analyzing historical data, market trends, and anomalies. This aids in fraud detection, credit scoring, and optimizing risk assessment models.

  4. Predictive Analytics

    Predictive analytics offered by Big Data Companies helps organizations forecast future trends, behaviors, and outcomes. By analyzing historical data patterns, predictive models aid in anticipating market trends, customer demands, equipment failures, and other potential scenarios, enabling proactive strategies.

  5. Innovation and Product Development

    Big Data Companies assist businesses in innovating and developing products or services by analyzing market trends, customer feedback, and industry insights derived from data. This data-driven approach helps in identifying gaps in the market, innovating new solutions, and enhancing existing products to meet customer needs.

  6. Quality Control

    Analyzing data for quality control purposes is crucial across industries. Big Data Companies use data analytics to monitor and analyze production processes, identify defects or inefficiencies, and optimize workflows. This proactive approach improves product quality, reduces defects, and enhances operational efficiency.

What Are the Services Offered By Big Data Analytics Companies?

Big Data Analytics Companies offer a suite of specialized services designed to help organizations effectively manage, process, analyze, and derive valuable insights from their vast and complex datasets. These companies play a pivotal role in assisting businesses across diverse industries in harnessing the power of data. Let's delve into the key services offered by top analytics companies:

services-offered-by-big-data-analytics-companies-by-softwaresuggest

  1. Data Storage and Management

    Big Data Analytics Companies assist organizations in storing and managing extensive volumes of data. They employ advanced technologies and scalable infrastructure to handle structured, unstructured, and semi-structured data efficiently. Companies provide solutions for data warehousing, data lakes, and database management systems tailored to the specific needs of businesses.

  2. Data Processing

    Processing large datasets requires specialized tools and frameworks. Big Data Analytics Companies utilize distributed computing technologies like Hadoop, Apache Spark, and other parallel processing tools to efficiently process and clean massive volumes of data. They ensure data quality and prepare it for further analysis.

  3. Machine Learning and AI

    Leveraging machine learning and artificial intelligence, these companies develop models and algorithms to extract meaningful insights from data. They build predictive models, recommendation systems, anomaly detection algorithms, and more, enabling businesses to make informed decisions based on data-driven predictions and insights.

  4. Real-Time Data Processing

    In today's fast-paced environment, real-time data processing is crucial. Big Data Analytics Companies offer solutions for real-time data ingestion, processing, and analytics. They employ technologies that enable businesses to analyze streaming data and extract actionable insights in real time for immediate decision-making.

  5. Cloud-Based Big Data Solutions

    Many Big Data Analytics Companies provide cloud-based solutions for storing, processing, and analyzing data. Cloud platforms offer scalability, flexibility, and cost-effectiveness, allowing businesses to access and leverage big data analytics tools and infrastructure without heavy upfront investments in hardware.

  6. Data Analytics

    Data analytics is at the core of services offered by Big Data Analytics Companies. They employ various analytical techniques, including descriptive, diagnostic, predictive, and prescriptive analytics, to uncover patterns, correlations, and trends within the data. Companies present insights through visualizations, reports, dashboards, and interactive tools for better comprehension and decision-making.

Factors To Consider While Choosing The Top Big Data Companies

Selecting the right big data agency is crucial for organizations aiming to harness the full potential of their data assets. Several key factors need consideration to ensure the chosen company aligns with the organization's needs and objectives. Let's explore the essential factors when choosing the top Big Data providers:

how-to-choose-the-right-big-data-companies-by-softwaresuggest

  1. Technology Stack

    Assess the technology stack and tools used by the Big Data Companies. Look for companies employing robust and up-to-date technologies, frameworks, and platforms for data storage, processing, analytics, and visualization. Ensure their technology stack aligns with the organization's requirements and supports scalability and flexibility.

  2. Expertise and Experience

    Evaluate the expertise and experience of the company in handling Big Data projects. Consider their track record, case studies, and success stories in similar domains or industries. A company with proven expertise and a history of delivering successful projects indicates reliability and competence.

  3. Data Security and Compliance

    Data security is paramount when dealing with sensitive information. Ensure that the Big Data Company follows robust security protocols, and encryption methods, and complies with data privacy regulations such as GDPR, HIPAA, or industry-specific standards. Verify their approach to data governance and protection.

  4. Scalability

    Scalability is crucial as data volumes grow over time. Choose a company that offers scalable solutions capable of handling increasing data volumes and adapting to evolving business needs. The company's infrastructure and solutions should scale seamlessly without compromising performance.

  5. Cost and ROI

    Assess the cost structure and potential return on investment (ROI) offered by the Big Data Company. Compare pricing models, understand the total cost of ownership (TCO), and evaluate the value proposition against the investment. Consider long-term benefits and the potential impact on business outcomes.

  6. Support and Maintenance

    Consider the support and maintenance services provided by the company post-implementation. Ensure they offer reliable support, regular maintenance, and updates for the deployed solutions. Evaluate their responsiveness, availability, and service level agreements (SLAs) for ongoing assistance.

Trends In Big Data Companies

The realm of Big Data is continuously evolving, influenced by technological advancements and changing business landscapes. Big Data Companies play a pivotal role in shaping the trends that drive innovation in the industry. Let's explore the latest trends in Big Data Companies:

trends-in-big-data-companies-by-softwaresuggest

  1. Data Governance and Privacy

    Data governance and privacy have become critical concerns in the era of data-driven operations. Big Data Companies are focusing on robust data governance frameworks and practices to ensure data quality, security, compliance, and ethical use. They implement policies, procedures, and technologies to govern data access, usage, and lifecycle management while adhering to privacy regulations.

  2. AI and Machine Learning Integration

    The integration of Artificial Intelligence (AI) and Machine Learning (ML) capabilities into Big Data solutions is a significant trend. Companies are leveraging AI/ML algorithms to enhance data analytics, predictive modeling, anomaly detection, and automation. AI-driven analytics tools help in extracting actionable insights from complex datasets, enabling more accurate predictions and decision-making.

  3. Edge Computing

    With the proliferation of IoT devices and the need for real-time processing, Edge Computing has emerged as a trend in Big Data Companies. These companies are developing solutions that leverage edge computing architecture to process and analyze data closer to its source. This enables faster decision-making, reduced latency, and minimizes the need for transmitting large volumes of data to centralized servers.

  4. DataOps and DevOps

    DataOps, an evolution of DevOps principles applied to data analytics, is gaining prominence. Big Data Companies are adopting DataOps methodologies that emphasize collaboration, automation, and integration of data pipelines. This approach streamlines data management, accelerates analytics delivery, and improves the agility of data-related processes.

Conclusion

In conclusion, the evolution and advancements in Big Data have revolutionized the way organizations handle, analyze, and derive value from vast volumes of data. Big Data Companies play a pivotal role in enabling businesses to navigate this data-rich landscape, leveraging advanced technologies and innovative approaches to unlock actionable insights.

The trends in Big Data, from focusing on robust data governance and privacy to integrating AI/ML capabilities, edge computing, and embracing DataOps methodologies, underscore the industry's commitment to enhancing data management, analytics, and decision-making.

As the data landscape continues to evolve, the role of Big Data Companies remains crucial in empowering organizations to harness the power of data for driving innovation, achieving business objectives, and staying competitive in today's dynamic and data-driven business environment.

Frequently Asked Questions (FAQs)

The 5 V's of Big Data are Volume (the immense amount of data), Velocity (the speed at which data is generated), Variety (the diverse types of data), Veracity (the accuracy and trustworthiness of data), and Value (the insights and benefits derived from analyzing data).

Ensuring data security and privacy involves implementing robust encryption methods, access controls, and authentication mechanisms. We follow strict compliance with data protection regulations, conduct regular audits, and employ secure data storage and transmission protocols to safeguard your data.

Big Data can help companies by providing valuable insights from data analysis. It aids in making informed decisions, understanding customer behavior, optimizing operations, predicting trends, enhancing product development, and improving overall business strategies based on data-driven insights.

To get started with our Big Data services, you can reach out to our team and discuss your specific requirements and objectives. We'll assess your needs, propose tailored solutions, outline implementation strategies, and guide you through the process of leveraging Big Data for your business goals.

Big Data solutions can integrate various types of data sources, including structured data from databases, unstructured data from social media, emails, and documents, semi-structured data like XML or JSON files, sensor data from IoT devices, logs, videos, images, and more. The versatility of Big Data solutions allows integration from diverse data sources for comprehensive analysis.

Last Updated: January 02, 2024