Software Alternatives, Accelerators & Startups

IBM Analytics Engine

Analytics Engine is a combined Apache Spark and Apache Hadoop service for creating analytics applications.

Some of the top features or benefits of IBM Analytics Engine are: Scalability, Integration with IBM Cloud, Support for Multiple Analytics Engines, Automated Management, and Cost Efficiency. You can visit the info page to learn more.

IBM Analytics Engine

IBM Analytics Engine Alternatives & Competitors

The best IBM Analytics Engine alternatives based on verified products, community votes, reviews and other factors.
Filter: 12 Open-Source Alternatives. Latest update:

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

    Key Google BigQuery features:

    Scalability Speed Integrations Automatic Optimization

    Open Source

    /google-bigquery-alternatives
  2. 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.

    Key Snowflake features:

    Scalability Performance Ease of Use Data Sharing

    /snowflake-alternatives
  3. Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI.

    Key Grapple features:

    Automatic Data Refresh Universal Data Library Natural Language Map Data

    Visit website freemium $99.0 / Monthly (Per Editor, Unlimited Viewers)

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

    Key Qubole features:

    Scalability Multi-cloud Support Unified Interface Cost Management

    Open Source

    /qubole-alternatives
  5. Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.โ€ŽWhat is Apache Spark?

    Key Databricks features:

    Unified Data Analytics Platform Scalability Collaborative Environment Performance Optimization

    Open Source

    /databricks-alternatives
  6. Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

    Key Amazon EMR features:

    Scalability Cost-effectiveness Ease of Use Managed Service

    /amazon-emr-alternatives
  7. Snowplow is an enterprise-strength event analytics platform.

    Key Snowplow features:

    Data Ownership Flexibility Real-time Analytics Open Source

    Open Source

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

    Key Google Cloud Dataflow features:

    Scalability Fully Managed Unified Programming Model Integration

    /google-cloud-dataflow-alternatives
  9. Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost.

    Key Google Cloud Dataproc features:

    Managed Service Integration with Google Cloud Scalability Cost Efficiency

    /google-cloud-dataproc-alternatives
  10. Azure HDInsight is a managed Apache Hadoop cloud service that lets you run Apache Spark, Apache Hive, Apache Kafka, Apache HBase, and more.

    Key Azure HDInsight features:

    Scalability Managed Service Cost-effectiveness Integration with Azure Ecosystem

    /azure-hdinsight-alternatives
  11. Apache Beam provides an advanced unified programming modelย to implement batch and streaming data processing jobs.

    Key Apache Beam features:

    Unified Model Portability Rich SDKs Windowing and Triggering

    Open Source

    /apache-beam-alternatives
  12. This article provides an introduction to Spark in HDInsight and the different scenarios in which you can use Spark cluster in HDInsight.

    Key Apache Spark for Azure HDInsight features:

    Scalability Integration with other Azure Services Real-time Data Processing Ease of Use

    /apache-spark-for-azure-hdinsight-alternatives
  13. Azure HDInsight is an Apache Hadoop distribution powered by the cloud.

    Key Microsoft Azure HDInsight features:

    Scalability Integration Open Source Ecosystem Managed Service

    /microsoft-azure-hdinsight-alternatives
  14. SQream empowers organizations to analyze the full scope of their Massive Data, from terabytes to petabytes, to achieve critical insights which were previously unattainable.

    /sqream-alternatives
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