Best Free Big Data Software of 2025 - Page 3

Find and compare the best Free Big Data software in 2025

Use the comparison tool below to compare the top Free Big Data software on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Hadoop Reviews

    Hadoop

    Apache Software Foundation

    The Apache Hadoop software library serves as a framework for the distributed processing of extensive data sets across computer clusters, utilizing straightforward programming models. It is built to scale from individual servers to thousands of machines, each providing local computation and storage capabilities. Instead of depending on hardware for high availability, the library is engineered to identify and manage failures within the application layer, ensuring that a highly available service can run on a cluster of machines that may be susceptible to disruptions. Numerous companies and organizations leverage Hadoop for both research initiatives and production environments. Users are invited to join the Hadoop PoweredBy wiki page to showcase their usage. The latest version, Apache Hadoop 3.3.4, introduces several notable improvements compared to the earlier major release, hadoop-3.2, enhancing its overall performance and functionality. This continuous evolution of Hadoop reflects the growing need for efficient data processing solutions in today's data-driven landscape.
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    Apache Spark Reviews

    Apache Spark

    Apache Software Foundation

    Apache Spark™ serves as a comprehensive analytics platform designed for large-scale data processing. It delivers exceptional performance for both batch and streaming data by employing an advanced Directed Acyclic Graph (DAG) scheduler, a sophisticated query optimizer, and a robust execution engine. With over 80 high-level operators available, Spark simplifies the development of parallel applications. Additionally, it supports interactive use through various shells including Scala, Python, R, and SQL. Spark supports a rich ecosystem of libraries such as SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming, allowing for seamless integration within a single application. It is compatible with various environments, including Hadoop, Apache Mesos, Kubernetes, and standalone setups, as well as cloud deployments. Furthermore, Spark can connect to a multitude of data sources, enabling access to data stored in systems like HDFS, Alluxio, Apache Cassandra, Apache HBase, and Apache Hive, among many others. This versatility makes Spark an invaluable tool for organizations looking to harness the power of large-scale data analytics.
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    TiMi Reviews
    TIMi allows companies to use their corporate data to generate new ideas and make crucial business decisions more quickly and easily than ever before. The heart of TIMi’s Integrated Platform. TIMi's ultimate real time AUTO-ML engine. 3D VR segmentation, visualization. Unlimited self service business Intelligence. TIMi is a faster solution than any other to perform the 2 most critical analytical tasks: data cleaning, feature engineering, creation KPIs, and predictive modeling. TIMi is an ethical solution. There is no lock-in, just excellence. We guarantee you work in complete serenity, without unexpected costs. TIMi's unique software infrastructure allows for maximum flexibility during the exploration phase, and high reliability during the production phase. TIMi allows your analysts to test even the most crazy ideas.
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    Bodo.ai Reviews
    Bodo's robust computing engine and its parallel processing methodology ensure efficient performance and scalability, even when handling over 10,000 cores and petabytes of information. By leveraging standard Python APIs such as Pandas, Bodo accelerates the development process and simplifies the maintenance of data science, engineering, and machine learning tasks. It minimizes the risk of frequent failures through native code execution on bare-metal systems, allowing developers to detect issues prior to deployment with comprehensive end-to-end compilation. This enables quicker experimentation with vast datasets directly from your laptop, all while enjoying the inherent simplicity of Python. Additionally, you can produce code that is ready for production without the complications of extensive refactoring necessary for scaling on large infrastructures!
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    Millimetric.ai Reviews
    Millimetric is a software organization located in the United Kingdom that was started in 2018 and provides software named Millimetric.ai. Millimetric.ai includes training through documentation, webinars, live online, and in person sessions. Millimetric.ai is offered as SaaS software. Millimetric.ai has a free version. Millimetric.ai is a type of big data software, and provides features like predictive analytics. Some alternatives to Millimetric.ai are Inventale, Querona, and Mosaic.