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Oracle Introduces MySQL HeatWave Lakehouse for Querying Data


Oracle is releasing MySQL HeatWave Lakehouse, enabling customers to query data in object storage as fast as querying data inside the database.

MySQL HeatWave Lakehouse supports a variety of object store file formats such as CSV, Parquet, and export files from other databases, and can combine object storage file data and MySQL database transactional data together in the same query.

Object store files are queried directly by HeatWave without copying the data into the MySQL database. As a result, MySQL HeatWave Lakehouse sets new standards for scalability and performance for query processing, speed of loading data, cluster provisioning time, and automation to query data in object storage.

“More than 80% of data is stored in file systems and that number is growing. Customers want to integrate and analyze this varied external data with their internal transactional data, but it’s often too complex or too expensive to process,” said Edward Screven, chief corporate architect, Oracle. “MySQL HeatWave Lakehouse makes it easy for customers to get valuable real-time insights by combining their data in object storage with database data while gaining significantly higher query performance and much faster data loading at a lower cost.”

According to the company, as demonstrated by a 500 TB TPC-H benchmark, the query performance of MySQL HeatWave Lakehouse is:

  • 9X faster than Amazon Redshift
  • 17X faster than Snowflake
  • 17X faster than Databricks
  • 36X faster than Google BigQuery

The performance to load data from the object store with MySQL HeatWave Lakehouse is:

  • 9X faster than Amazon Redshift
  • 2X faster than Snowflake
  • 6X faster than Databricks
  • 8X faster than Google BigQuery

MySQL HeatWave’s performance is a result of its scale-out architecture that enables massive parallelism to provision the cluster, load data, and process queries with up to 512 nodes.

In addition, enhancements to MySQL Autopilot automate metadata creation for object files and dynamically adapt to the performance of the underlying object store to provide the best performance in any OCI region.

According to Oracle, MySQL HeatWave is the only cloud service that provides transaction processing, real-time analytics, machine learning, data lake querying, and machine learning-based automation within a single MySQL database service. A core part of Oracle’s distributed cloud strategy, MySQL HeatWave is available in OCI, natively on Amazon Web Services, as part of the Oracle Database Service for Azure, and in customers’ data centers with OCI Dedicated Region.

For more information about this news, visit www.oracle.com.


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