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Five Ways to Tell You Are Outgrowing MySQL

  • Five Ways to Tell You Are Outgrowing MySQL-

    Slow analytics and reporting

    MySQL databases don't provide any real-time analytics capabilities, as they offer no support for joins and other SQL constructs. To address this problem, both multi-version concurrency control (MVCC) and massively parallel processing (MPP) are required for processing massive workloads because they allow writes and analytics to happen without interference and use multiple nodes and multiple cores per node to make analytic queries go faster.

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Five Ways to Tell You Are Outgrowing MySQL

  • 1 | 2 | 3 | 4 | 5 | 6 | 7
  • Five Ways to Tell You Are Outgrowing MySQL-3

    Slow analytics and reporting

    MySQL databases don't provide any real-time analytics capabilities, as they offer no support for joins and other SQL constructs. To address this problem, both multi-version concurrency control (MVCC) and massively parallel processing (MPP) are required for processing massive workloads because they allow writes and analytics to happen without interference and use multiple nodes and multiple cores per node to make analytic queries go faster.

The data management landscape is complex and quickly evolving. Nothing underscores this evolution more than the emergence of 'super apps' — or applications that process millions of user interactions per second. Factor in Big Data and the cloud, and it becomes clear that organizations are in need of a new generation of databases that can perform better and scale faster.

If you're unsure of whether or not your organization is ready for a scale-out database, take a look at this slideshow from scale-out SQL startup Clustrix for five signs you may be outgrowing MySQL.