Building a near real-time data lake with Onehouse and Starburst

Organizations aiming to enhance their data-driven strategies can leverage Onehouse and Starburst to build a near real-time data lake, which combines the capabilities of a data warehouse and ingestion tool at reduced costs. The process involves integrating Onehouse's Stream Capture with Postgres, which uses technologies like Debezium, Kafka, and Apache Hudi, to efficiently ingest and manage data in a lakehouse. This data is then made accessible for analytics through Starburst by configuring an S3 catalog with an AWS Glue metastore, allowing users to perform SQL analytics. This setup, enabling faster insights and optimizing data tasks, can be implemented swiftly, allowing businesses to handle data from multiple sources and formats, thus scaling efficiently from gigabytes to petabytes.

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