Apache Iceberg
Apache Iceberg is an open table format designed for large-scale analytical datasets.
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Our verdict
Who it's for
An open table format for huge analytic datasets.
Who should look elsewhere
Requires integration and setup with existing data lake infrastructure.
Pros
- +Ensures data consistency and reliability in data lakes.
- +Simplifies data management with schema evolution and hidden partitioning.
- +Offers strong compatibility with major data processing engines.
- +Provides time travel capabilities for auditing and recovery.
- +Open-source nature fosters community support and avoids vendor lock-in.
Cons
- −Requires integration and setup with existing data lake infrastructure.
- −Can have a learning curve for users unfamiliar with table formats.
Key features
- ✓ACID transactions
- ✓Schema evolution (add, drop, update, reorder columns)
- ✓Hidden partitioning
- ✓Time travel (point-in-time queries)
- ✓Rollback to previous versions
- ✓Concurrent writes
- ✓Snapshot isolation
- ✓Pluggable catalog support (Hive Metastore, AWS Glue, custom)
Pricing
No public pricing plans recorded.
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