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Top 9 Big Data Tools in Developer Tools

The best Big Data Tools within the Developer Tools category - based on our collection of reviews & verified products.

Apache Spark Apache Flink Apache Beam Apache Camel Infoworks.io SingleStore Azure Data Lake Store Cloudflow Starburst Galaxy

Summary

The top products on this list are Apache Spark, Apache Flink, and Apache Beam. All products here are categorized as: Big Data Tools. We recommend LibHunt for [discovery and comparisons of open-source projects](https://www.libhunt.com/). One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
    Pricing:
    • Open Source

    #Big Data #Databases #Big Data Infrastructure 72 social mentions

  2. Apache Beam provides an advanced unified programming modelย to implement batch and streaming data processing jobs.
    Pricing:
    • Open Source

    #Data Dashboard #Big Data #Big Data Tools 15 social mentions

  3. Apache Camel is a versatile open-source integration framework based on known enterprise integration patterns.
    Pricing:
    • Open Source

    #Open Source #Data Integration #ETL 13 social mentions

  4. The Autonomous Data Engine

    #Big Data #Data Integration #Big Data Tools 4 social mentions

  5. SingleStore DB is a high-performance SQL compliant relational database management tool that offers data processing, ingesting, and transaction processing.

    #File Management #Data Dashboard #Big Data 3 social mentions

  6. Azure Data Lake Storage Gen2 is highly scalable and secure storage for big data analytics. Maximize costs and efficiency through full integrations with other Azure products.

    #Data Dashboard #Big Data #Big Data Tools 1 social mentions

  7. Quickly develop, orchestrate, and operate distributed streaming data pipelines with Apache Spark, Apache Flink, and Akka Streams on Kubernetes

    #Databases #DevOps Tools #Developer Tools

  8. Explore and analyze the data in and around your data lake

    #Data Integration #Data Science And Machine Learning #Data Lake

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