Our list of the 3 best Data Management for Data Scientists – 2024

Efficiently collect, store, organize, maintain, and use digital information with our innovative data management software solutions.

Compare the top three in Data Scientists.


Most popular

  1. Amazon Web Services (AWS)

    Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.
  2. Microsoft Azure

    Azure is Microsoft's cloud computing platform, providing a range of services for businesses of all sizes.
  3. Alibaba Cloud

    Alibaba Cloud is a cloud computing service provider that offers a comprehensive suite of cloud computing services for businesses of all sizes.
  4. Commvault Data Protection

    Commvault provides comprehensive data protection solutions to help organizations protect, access, and use their data. Solutions include backup & recovery, cloud storage, archiving, and more. Get the data protection you need to stay secure and compliant.
  5. CloudMigrator360

    CloudMigrator360 is a cloud migration platform that helps businesses move their data and applications to the cloud quickly and securely. It offers automated migration, data protection, and cost optimization to ensure a smooth transition.
  6. Data Quality Pro

    data-quality-management/ Data Quality Management (DQM) is a process that helps organizations ensure their data is accurate, complete, and reliable. DQM involves assessing data quality, identifying and correcting errors, and implementing processes to maintain data quality. It helps organizations make better decisions and improve operational efficiency.
  7. Informatica Data Governance

    Discover Informatica’s enterprise data governance products that fuel your important business initiatives with high-quality, trusted data.
  8. Python

    Python is a programming language that lets you work quickly and integrate systems more effectively.
  9. Collibra Data Governance Center

    Collibra's Data Governance Center provides a comprehensive platform to help organizations manage their data assets. It enables users to define data policies, monitor data quality, and ensure compliance with regulations. It also provides tools to help users discover, catalog, and classify data.
  10. Java

    Java is a popular programming language used to create secure, reliable, and high-performance applications. It is used to develop applications for desktop, web, mobile, and enterprise systems. Java is free, open-source, and platform-independent.
  11. Swift for TensorFlow

    TensorFlow Swift is an open source library for machine learning, allowing developers to easily create and deploy ML models on Apple platforms. It provides an intuitive API, fast performance, and support for both eager and graph execution.
  12. MicroStrategy

    MicroStrategy provides a comprehensive business intelligence platform that helps organizations make better decisions, faster. It offers powerful analytics, data visualization, and mobile capabilities to help you uncover insights, drive performance, and transform your business.
  13. SAS Business Intelligence

    SAS Business Intelligence helps you make better decisions faster. It provides a comprehensive suite of analytics, reporting, and visualization tools to help you explore data, uncover insights, and share findings with stakeholders.
  14. Mulesoft

    MuleSoft provides the easy-to-use tools you need to automate your way to higher productivity and lower costs. Equip any team to automate with clicks or code.
  15. DreamFactory

    DreamFactory is a free, open source software package that provides a complete REST API for mobile, web, and IoT applications.
  16. Meteor

    Meteor is an open-source platform for web, mobile, and desktop used by over half a million developers around the globe. Meteor makes shipping Javascript applications efficient and scalable. Sign up for your free Meteor Cloud account today!
  17. D3.js

    D3 is a JavaScript library for visualizing data with HTML, SVG, and CSS.
  18. Launchpad

    Launchpad is an open source project hosting platform from Canonical, the company behind Ubuntu. It provides a platform for developers to collaborate on projects, track bugs, and manage code.
  19. H2O.ai

    H2O.ai is an open source platform for machine learning and predictive analytics. It provides an easy-to-use interface for data scientists and developers to build, deploy, and manage AI applications. It supports a wide range of algorithms and languages, and is used by companies around the world.
  20. RapidMiner

    The RapidMiner platform amplifies the impact of people, expertise & data for breakthrough competitive advantage, no matter where you are in your data science journey.
  21. DataRobot

    DataRobot is delivering a unified AI platform for all users, all data types, and all environments to accelerate delivery of AI to production for every organization. DataRobot is trusted by global customers across industries and verticals, including a third of the Fortune 50, delivering over a trillion predictions for leading companies around the world.
  22. KNIME

    Free and open source with all your data analysis tools. Create data science solutions with the visual workflow builder, & put them into production in the enterprise.
  23. SnapLogic

    SnapLogic is an AI-powered, cloud-based integration platform that helps companies connect their data, applications, and APIs quickly and securely. It enables users to build data pipelines, automate workflows, and gain insights from their data.
  24. MongoDB

    Get your ideas to market faster with a developer data platform built on the leading modern database. MongoDB makes working with data easy.
  25. Cassandra

    Apache Cassandra is an open source, distributed, highly available, fault-tolerant NoSQL database designed to handle large amounts of data.
  26. Neo4j

    Connect data as it's stored with Neo4j. Perform powerful, complex queries at scale and speed with our graph data platform.
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