MySQL HeatWave Lakehouse
MySQL HeatWave has been enhanced to allow users to process hundreds of terabytes of data in the object store in a variety of file formats like CSV, Parquet, export files from other databases like Aurora and Redshift. Customers can query data in the object store and combine it with data in the database in a single query using standard MySQL syntax. 

HeatWave Lakehouse offers the best performance and price performance in the industry compared to Snowflake, Databricks, Redshift and Google Big Query both for loading data and running queries on several hundred terabytes of data.  

Register to access the on demand webinar, Ebook and Technical brief.
NOTE: This content block is mandatory and should not be deleted. Deleting this block will affect registration form associated automations. You can add other content blocks/layouts as required for your campaign.
Webinar

Introducing MySQL HeatWave 
Lakehouse
Technical brief

MySQL Heatwave Lakehouse
Ebook

MySQL Heatwave Lakehouse
Additional MySQL HeatWave Lakehouse References
Press Release

Oracle Announces the General Availability of MySQL HeatWave Lakehouse
Keynote Video

MySQL HeatWave Lakehouse: scale-out processing of data in the object store
Video

First Principles: inside MySQL HeatWave Lakehouse on OCI
Blog

MySQL HeatWave Lakehouse Overview
Performance Comparison

Performance comparison of MySQL HeatWave Lakehouse
Analyst Quotes

What are industry experts saying about MySQL HeatWave?
Hands-on Lab
MySQL HeatWave Lakehouse Overview
Call
Chat
Do not edit
Follow
Do not edit
Share
Do not edit