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Top 9 Developer Tools in Big Data

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

Apache Flink Apache Kafka ANTLR Apache Jena StreamSets Tableau Prep CloudGraph Apache Cassandra Apache Spark

Summary

The top products on this list are Apache Flink, Apache Kafka, and ANTLR. All products here are categorized as: We recommend LibHunt for [discovery and comparisons of open-source projects](https://www.libhunt.com/). Software and platforms for processing and analyzing large data sets. 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 Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
    Pricing:
    • Open Source

    #Data Integration #Monitoring Tools #Stream Processing 146 social mentions

  2. 3
    ANTLR, ANother Tool for Language Recognition, is a language tool that provides a framework for...
    Pricing:
    • Open Source

    #Monitoring Tools #Developer Tools #Online Services 2 social mentions

  3. Java Web Frameworks

    #Web Frameworks #JavaScript Framework #Developer Tools 6 social mentions

  4. StreamSets provides Continuous Ingest technology for the next generation of big data applications.

    #Cloud Computing #DevOps Tools #Continuous Integration And Delivery 2 social mentions

  5. Tableau Prep is comprised of two products: Prep Builder and Prep Conductor.

    #Data Dashboard #Data Science And Machine Learning #Office & Productivity

  6. CloudGraph is a free and open-source GraphQL-powered search engine for your AWS infrastructure.

    #Open Source #Realtime Backend / API #GraphQL 11 social mentions

  7. The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

    #Big Data #Databases #NoSQL Databases 44 social mentions

  8. 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

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