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, including Snowflake, Google, AWS and Microsoft Azure.

In an effort to compete with its cloud-services rivals and help enterprises generate more business value out of their accumulated data, Oracle on Tuesday joined the data lakehouse bandwagon by debuting its MySQL HeatWave Lakehouse service.MySQL HeatWave Lakehouse, announced at the Oracle CloudWorld conference, is currently available in beta and expected to be made generally available in the first half of 2023. It’s designed to quickly load and query up to 400TB of data, while the HeatWave cluster can scale up to 512 nodes, Oracle said.
As the name suggests, a data lakehouse is an architecture that combines the benefits of a data warehouse—such as structured data management and processing functionality, including support for table formats, metadata management, and transactional updates and deletes—with the low cost and agility advantages of a data lake.

The lakehouse architecture concept has been gaining popularity, especially among enterprises that have invested in a data lake, said Matt Aslett, research vice president at Ventana Research.

“By 2024, more than three-quarters of current data lake adopters will be investing in data lakehouse technologies,” Aslett said.Oracle rivals including Snowflake, Databricks, Teradata, Dremio, Google, AWS, and Microsoft Azure have all introduced some form of the data lakehouse concept.
Data lakes themselves have become an important part of the analytics data estate for many enterprises, according to a report from Ventana.