Building a near real-time application with Zerobus Ingest and Lakebase

Summary

The article discusses the integration of Zerobus Ingest and Lakebase within the Databricks platform to facilitate the development of near real-time applications. It highlights how Zerobus Ingest streamlines data ingestion directly into a lakehouse, eliminating the need for multi-hop architectures and complex ETL processes. Lakebase, a serverless Postgres database, allows for low-latency operational workloads and seamless synchronization with analytical data, enhancing the efficiency of real-time applications. The article also outlines a practical example involving a food delivery service, detailing the architecture and steps needed to implement a real-time monitoring application for driver activity and order deliveries.

Key Learnings

• 1Zerobus Ingest simplifies data ingestion by eliminating the need for intermediate message buses, reducing operational overhead.
• 2Lakebase provides a fully managed database solution that integrates directly with the lakehouse, enabling low-latency access to both operational and analytical workloads.
• 3The architecture allows for near real-time data updates, facilitating timely operational decision-making and issue mitigation.
• 4Implementing a continuous sync pipeline from Delta tables to Lakebase ensures that the application has the most current data available without complex external pipelines.
• 5The integration of Databricks Apps with Zerobus Ingest and Lakebase streamlines the development of interactive applications, reducing the complexity of traditional data workflows.

Who Should Read This

Senior Data Engineers and Architects designing scalable real-time data ingestion and processing systems using Databricks and Postgres.

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