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Top 9 Data Management Products in NoSQL Databases

The best Data Management Products within the NoSQL Databases category - based on our collection of reviews & verified products.

Amazon Redshift Azure Event Hubs ibm.com Hadoop HDFS ibm.com DB2 Azure SQL Data Warehouse Impala SQream Apache Parquet Apache ORC

Summary

The top products on this list are Amazon Redshift, Azure Event Hubs, and ibm.com Hadoop HDFS. All products here are categorized as: Systems for organizing and managing data. Database systems that use a non-relational model, often used for large-scale data storage. 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. Learn about Amazon Redshift cloud data warehouse.

    #Big Data #Databases #Data Management 29 social mentions

  2. Learn about Azure Event Hubs, a managed service that can ingest and process massive data streams from websites, apps, or devices.

    #Big Data #Data Management #Stream Processing 4 social mentions

  3. NOTE: ibm.com Hadoop HDFS has been discontinued.
    The Apache HDFS is a distributed file system that makes it possible to scale a single Apache Hadoop cluster to hundreds (and even thousands) of nodes.

    #Data Dashboard #Big Data #Data Management

  4. NOTE: ibm.com DB2 has been discontinued.
    IBM Db2 is database software that can reliably handle multiple workloads and the latest version of Db2 is optimized to provide extreme performance while lowering costs.

    #Databases #NoSQL Databases #Relational Databases

  5. Azure Synapse Analytics (formerly SQL DW) is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics.

    #Big Data #Databases #Data Management

  6. 6
    Impala is a modern, open source, distributed SQL query engine for Apache Hadoop.
    Pricing:
    • Open Source

    #Data Dashboard #Big Data #Data Management

  7. 7
    SQream empowers organizations to analyze the full scope of their Massive Data, from terabytes to petabytes, to achieve critical insights which were previously unattainable.

    #Data Analytics #Data Dashboard #Big Data 1 social mentions

  8. Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.
    Pricing:
    • Open Source

    #Big Data #Databases #NoSQL Databases 24 social mentions

  9. Apache ORC is a columnar storage for Hadoop workloads.
    Pricing:
    • Open Source

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

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