Why use HeatWave Lakehouse?

Query data in object storage

HeatWave is a scale-out data processing engine optimized to query data in object storage. You can query structured data, semi-structured data in JSON format, and unstructured documents with HeatWave Vector Store.

Get the best performance and price-performance

The query performance of HeatWave Lakehouse is 15X faster than Amazon Redshift, 18X faster than Snowflake, 18X faster than Databricks, and 35X faster than Google BigQuery, per a 500 TB TPC-H benchmark. Price-performance is also significantly better.

Use built-in ML with all your data

Automate the pipeline to build, train, deploy, and explain ML models using data in object storage and MySQL Database, without moving the data to a separate ML cloud service and at no additional cost.

How HeatWave Lakehouse works

HeatWave Lakehouse processes data in a variety of file formats, including CSV, Parquet, Avro, JSON, and exports from other databases. You can query data in object storage and optionally combine it with transactional data in MySQL databases. With HeatWave Vector Store, you can upload and query unstructured documents. Data loaded into the HeatWave cluster for processing is automatically transformed into the HeatWave in-memory format, and object storage data isn’t copied to the MySQL database. You can also take advantage of HeatWave AutoML, a built-in feature that automates the pipeline to build, train, and explain ML models using data in object storage, the database, or both. There’s no need to move the data to a separate ML cloud service, and there’s no need to be an ML expert.