Software Alternatives & Reviews

Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data. subtitle

Amazon EMR Alternatives [Page 4]

The best Amazon EMR alternatives based on verified products, community votes, reviews and other factors.
Latest update:

  1. /apache-storm-alternatives

    Apache Storm is a free and open source distributed realtime computation system.

    Open Source

  2. /aws-glue-alternatives

    Fully managed extract, transform, and load (ETL) service

  3. Try for free

    Elegant user management, tailor-made for B2B SaaS

    Try for free freemium

  4. /amazon-kinesis-alternatives

    Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

  5. /ibm-biginsights-alternatives

    IBM BigInsights is an enterprise platform that combines Hadoop and Spark for fast analysis and processing of data.

  6. 11
    /hvr-alternatives

    Your data. Where you need it. HVR is the leading independent real-time data replication solution that offers efficient data integration for cloud and more.

  7. /hortonworks-alternatives
  8. /apache-arrow-alternatives

    Apache Arrow is a cross-language development platform for in-memory data.

    Open Source

  9. /apache-orc-alternatives

    Apache ORC is a columnar storage for Hadoop workloads.

    Open Source

  10. /microsoft-azure-hdinsight-alternatives

    Azure HDInsight is an Apache Hadoop distribution powered by the cloud.

  11. /redis-alternatives

    Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

    Open Source

  12. /google-cloud-tpu-alternatives

    Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

    Open Source

  13. /logstash-alternatives

    logstash is a tool for managing events and logs.

  14. /cloud-dataprep-alternatives

    Cloud Dataprep by Trifacta is a data prep & cleansing service for exploring, cleaning & preparing datasets using a simple drag & drop browser environment

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