Software Alternatives & Reviews

Apache Beam

Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.

Apache Beam Alternatives

The best Apache Beam alternatives based on verified products, community votes, reviews and other factors.
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  1. 22

    Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

  2. 16

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

  3. Omni-Channel SaaS Solution Suite for Retail, Wholesale & eCommerce businesses

    Try for free paid Free Trial $99.0 / Monthly

  4. 14

    A fully managed data warehouse for large-scale data analytics.

  5. 12

    Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.

  6. 16

    Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

  7. 15

    Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

  8. 12

    Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

  9. 11

    Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

  10. 12

    Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

  11. 13

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

  12. 10

    Azure HDInsight is a managed Apache Hadoop cloud service that lets you run Apache Spark, Apache Hive, Apache Kafka, Apache HBase, and more.

  13. Snowplow is an enterprise-strength event analytics platform.

  14. Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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Author: | Publisher: SaaSHub
Categories: Big Data, Data Dashboard, Data Warehousing


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