Oracle today announced significant enhancements to MySQL HeatWave, including support for vector store, generative AI, new in-database machine learning features, MySQL Autopilot enhancements, new HeatWave Lakehouse capabilities, support for JavaScript,
Explore top 2023 courses for robust Database Management skills and elevate your data expertise. Since its introduction in 1995, MySQL has evolved into one of the world’s most widely used
Oracle recently announced HeatWave Lakehouse, enabling customers to query data in object storage with record performance vs. Snowflake, Amazon Redshift, Databricks, and Google Big Query. Querying the data in object
Today, we announced the general availability of MySQL HeatWave Lakehouse and new capabilities in MySQL Autopilot that enable organizations to efficiently query data from object store using standard SQL syntax
The new lakehouse service, designed to quickly load and query up to 400TB of data, will compete with offerings from Oracle rivals that have also jumped on the lakehouse concept,
Abstract This document contains release notes for the changes in each release of MySQL 8.0, up through MySQL 8.0.36. For information about changes in a different MySQL series, see the
At Oracle, we constantly look for ways to improve our products to better fit your needs. We are excited to introduce MySQL Innovation and Long-Term Supported releases, which is an
In addition to updating MySQL HeatWave’s AutoML and Autopilot, Oracle will now offer a small shape for the service, targeting customers with smaller volumes of data. Oracle is adding new
For MySQL, version numbers are organized as version = X.Y.Z. In Amazon RDS terminology, X.Y denotes the major version, and Z is the minor version number. For Amazon RDS implementations,
The world’s most popular open-source database got an improvement with the announcement of the improved MySQL 8.0 back in late 2016. Any database-driven web applications rely on MySQL to function
