Building a near real-time data lake with Onehouse and Starburst
Blog post from Onehouse
Integrating Onehouse and Starburst allows organizations to build a cost-effective, near real-time analytics data stack that enhances data-driven decision-making by streamlining the ingestion and analysis of data from operational databases. This process involves creating a source connection to databases like Postgres using Onehouse, which automates data ingestion and transformation tasks with tools like Debezium, Kafka, and Apache Hudi to manage data optimizations and table maintenance. Onehouse's Onetable project facilitates interoperability between different data formats, such as Hudi, Iceberg, and Delta Lake, without data duplication. Starburst then provides a seamless integration with Onehouse through a metastore catalog, allowing for efficient SQL-based analytics on ingested data. This setup supports rapid and scalable data processing, enabling businesses to quickly analyze and act on data insights, such as updating marketing strategies or monitoring operational metrics, with minimal setup and maintenance effort.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.