Apache Iceberg
The open table format for huge analytic datasets.
Overview
Apache Iceberg is an open table format for huge analytic datasets. It manages large collections of files as tables and supports modern analytical data lake operations such as record-level insert, update, delete, and time travel. Iceberg is designed to be used with any query engine on any cloud storage.
✨ Key Features
- Schema evolution
- Hidden partitioning
- Time travel and version rollback
- ACID transactions
- Engine-agnostic (works with Spark, Trino, Flink, etc.)
🎯 Key Differentiators
- Engine-agnostic design
- Strong focus on correctness and reliability
- Hidden partitioning for improved performance and ease of use
Unique Value: Provides a reliable and open foundation for your data lake, with features like ACID transactions, schema evolution, and time travel, while remaining independent of any specific query engine.
🎯 Use Cases (5)
✅ Best For
- Creating a reliable and performant data lake with ACID transactions and schema evolution.
💡 Check With Vendor
Verify these considerations match your specific requirements:
- A replacement for a transactional database (OLTP).
🏆 Alternatives
Offers a more open and engine-agnostic approach compared to Delta Lake, which is closely associated with Spark. It provides a more robust and feature-rich solution than using plain Parquet or ORC files.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
💰 Pricing
Free tier: Open source and free to use
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