
TL;DR
Apache Doris addresses the challenge of integrating real-time data processing in lakehouse architectures by providing a high-performance analytical engine that seamlessly links streaming data, lake storage, and OLAP capabilities. This approach enhances data freshness and low-latency querying, allowing users to perform rapid data exploration and make informed decisions in real-time.
Opening
The world of data management is evolving rapidly, with businesses demanding more from their data infrastructures. Traditional data warehouses, though excellent for structured data, often come with high costs and limited flexibility. Enter the lakehouse, a hybrid model that combines the governance and performance of data warehouses with the scalability and open format of data lakes. Apache Doris, with its robust features, stands at the forefront of this transformation, offering a unified platform for handling streaming, batch, and machine learning workloads seamlessly.
What You'll Learn (Key Takeaways)
- Understanding Lakehouse Architecture – Apache Doris exemplifies how a lakehouse bridges the gap between data lakes and warehouses, ensuring robust governance and scalability.
- Real-Time Data Processing – With Ursa Engine and Apache Doris, practitioners can construct real-time lakehouse systems that cater to streaming analytics, operational intelligence, and online feature stores.
- Integration and Optimization – Discover how tools like Apache Iceberg and Doris enable low-latency querying and real-time insights through efficient data transformation and caching.
Q&A Highlights
Q: Is Apache Doris designed specifically for data lakes?
A: Apache Doris is a data warehouse that can also serve as a query engine for data lakes, working seamlessly with formats like Iceberg and Delta Lake.
Q: How does Doris compare with Trino in terms of performance?
A: Doris is implemented in C++ and offers better performance, being three to five times faster than open-source Trino for querying lake data.
Q: What deployment options does Apache Doris offer?
A: Doris can be deployed flexibly on Kubernetes, bare metal, or as a self-service solution via VeloDB, the commercial entity behind Apache Doris.
Q: Does Doris plan to support Protobuff natively?
A: The Apache Doris team is actively working on adding native support for Protobuff in the near future.
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