MemSQL Boosts its Signature Platform with Accelerated time to Insights

MemSQL is updating its flagship platform, advancing its performance along with adding capabilities to accelerate time to insight.

MemSQL 6.5 delivers an integrated database for data capture, management, and operations that integrates seamlessly with existing systems, infrastructure, and employee skills. This allows customers to get faster time to value and reduces cost and complexity.

The 6.5 release expands on its capabilities with several new features and improvements:

  • Queries are now up to four times faster than the previous MemSQL version (which was already 10x faster than legacy database providers), enabling insights in milliseconds across billions of rows.
  • New automated workload optimization capabilities provide a consistent database response under ultra-high concurrency without the need for manual tuning or specialized DBA resources.
  • Additions to the MemSQL industry-leading “transform-as-you-ingest” capabilities allow customers to use stored procedures for in-database transformations to easily build real-time data pipelines.
  • Resource optimization improvements for multi-tenant deployments deliver greater control and scalability for varied database sizes whether on-premises or in the cloud.

“Legacy databases aren’t capable of providing the scale, speed, and efficiency that NewSQL databases can,” said Nikita Shamgunov, CEO and Co-founder of MemSQL. “With MemSQL 6.5, companies are getting a database that allows them to do more with the data that drives their business. All with familiar tools, faster than before, and at a fraction of the cost.”

Additional features released with MemSQL 6.5 include:

  • Full-text search - MemSQL has full-text search built in, which eliminates the need for a separate specialized data store and allows developers to simplify architecture and improve overall performance.
  • Data pipeline support for Hadoop - Now MemSQL allows developers to continuously ingest from Hadoop into a structured relational format to deliver faster analytics using the familiarity of ANSI SQL.

For more information about these updates, visit