Technical Feature Advantage: Support for Open Table Formats (Apache Iceberg, Apache Hudi, Apache Hive, Delta Lake, Apache Paimon)

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StarRocks Technical Overview (2)
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Open table formats are a layer of abstraction sitting on top of data lakes, offering enhanced performance and management capabilities for cloud-based object storage like StarRocks. This means they add structure and functionality to your data beyond what traditional file formats like Parquet or ORC provide.

Here’s a breakdown of open table formats, their value, and how they’re used in StarRocks:

What are Open Table Formats?

  • Open-source, community-driven file formats like Apache Iceberg, Apache Paimon, Apache Hive, Delta Lake, and Apache Hudi.

  • They offer features beyond typical data lake formats, including:

    • ACID transactions: Ensuring data consistency even for concurrent updates and deletes.

    • Schema evolution: Modifying table schema over time without data rewrites.

    • Versioning: Maintaining previous versions of data for rollback or historical analysis.

    • Incremental updates: Applying data changes efficiently without rewriting entire files.

    • Efficient partitioning and indexing: Enabling faster data retrieval and filtering.

Value of Open Table Formats:

  • Streamlined data management: Simplified data manipulation with features like transactions and schema evolution.

  • Improved performance: Faster queries with efficient data organization and indexing.

  • Enhanced analytics: Versioning and incremental updates enable historical analysis and real-time updates.

  • Flexibility and security: Open-source nature promotes interoperability and data ownership.

Using Open Table Formats in StarRocks:

  • StarRocks natively supports open table formats like Apache Hudi, Apache Iceberg, Apache Paimon, Apache Hive and Delta Lake.

  • You can directly read and write*** data stored in these formats within StarRocks.

  • StarRocks leverages the features of open table formats for improved performance and functionality.

  • For example, ACID transactions ensure data consistency when writing to StarRocks through Iceberg tables.

  • For example, Schema evolution in Apache Hive tables allows you to modify the table structure without impacting StarRocks queries.

Overall, open table formats offer significant advantages for data management and analytics in StarRocks. They provide additional control and efficiency over your data lake, ultimately leading to improved performance and flexibility for your data pipelines and analytics workloads.