Compare the Top Big Data Platforms for Linux as of December 2025

What are Big Data Platforms for Linux?

Big data platforms are systems that provide the infrastructure and tools needed to store, manage, process, and analyze large volumes of structured and unstructured data. These platforms typically offer scalable storage solutions, high-performance computing capabilities, and advanced analytics tools to help organizations extract insights from massive datasets. Big data platforms often support technologies such as distributed computing, machine learning, and real-time data processing, allowing businesses to leverage their data for decision-making, predictive analytics, and process optimization. By using these platforms, organizations can handle complex datasets efficiently, uncover hidden patterns, and drive data-driven innovation. Compare and read user reviews of the best Big Data platforms for Linux currently available using the table below. This list is updated regularly.

  • 1
    Sadas Engine
    Sadas Engine is the fastest Columnar Database Management System both in Cloud and On Premise. Turn Data into Information with the fastest columnar Database Management System able to perform 100 times faster than transactional DBMSs and able to carry out searches on huge quantities of data over a period even longer than 10 years. Every day we work to ensure impeccable service and appropriate solutions to enhance the activities of your specific business. SADAS srl, a company of the AS Group , is dedicated to the development of Business Intelligence solutions, data analysis applications and DWH tools, relying on cutting-edge technology. The company operates in many sectors: banking, insurance, leasing, commercial, media and telecommunications, and in the public sector. Innovative software solutions for daily management needs and decision-making processes, in any sector
  • 2
    Hypertable

    Hypertable

    Hypertable

    Hypertable delivers scalable database capacity at maximum performance to speed up your big data application and reduce your hardware footprint. Hypertable delivers maximum efficiency and superior performance over the competition which translates into major cost savings. A proven scalable design that powers hundreds of Google services. All the benefits of open source with a strong and thriving community. C++ implementation for optimum performance. 24/7/365 support for your business-critical big data application. Unparalleled access to Hypertable brain power by the employer of all core Hypertable developers. Hypertable was designed for the express purpose of solving the scalability problem, a problem that is not handled well by a traditional RDBMS. Hypertable is based on a design developed by Google to meet their scalability requirements and solves the scale problem better than any of the other NoSQL solutions out there.
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