Why Data Architecture Should Guide Your Query Engine Decision
Blog post from Onehouse
A robust data strategy should be established prior to selecting a query engine, as emphasized by the Onehouse Universal Data Lakehouse approach, which offers a flexible and interoperable architecture that integrates the benefits of both data lakes and data warehouses. This strategy avoids vendor lock-in and supports various open data table formats like Apache Hudi, Apache Iceberg, and Delta Lake, enabling seamless integration with any query engine through Apache XTable for universal interoperability. The architecture allows businesses to decouple storage from compute, optimize resource usage, and scale efficiently, which leads to significant cost savings and improved performance, as evidenced by a customer case study where replacing a third-party ingestion tool and SQL merge process with a Onehouse solution reduced costs by nearly 80% and drastically improved ETL performance. The Onehouse approach provides the flexibility to use the best query engine for each specific use case, enhancing decision-making capabilities and ensuring data is accessible and fresh, while recommendations for a solid data strategy include adopting open data formats, maintaining open query engine choices, and ensuring multi-catalog integration for enhanced data governance and discovery.
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