Apache Hudi
Apache Hudi is an open-source data lakehouse platform designed to bring robust database functionalities, such as transactional guarantees and incremental processing, t…
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Our verdict
Who it's for
An open data lakehouse platform bringing database functionality to your data lakes.
Who should look elsewhere
Requires a deeper understanding of data lakehouse concepts and Hudi-specific configurations compared to traditional data warehouses.
Pros
- +Battle-tested and proven in production at large scale
- +Thriving and growing open-source community
- +Purpose-built storage format for continuous performance at scale
- +Built-in CDC sources and tools for streaming ingestion
Cons
- −Requires a deeper understanding of data lakehouse concepts and Hudi-specific configurations compared to traditional data warehouses.
- −Performance optimization might require fine-tuning of table services and indexing strategies.
- −While it simplifies many aspects, managing a Hudi-based data lakehouse still involves operational complexity, especially at scale.
Key features
- ✓Mutability support for updates and deletes with fast, pluggable indexing
- ✓Incremental processing for 10x efficiency and faster data pipelines
- ✓ACID transactional guarantees (atomic writes, snapshot isolation, non-blocking concurrency)
- ✓Time travel for querying historical data and auditing changes
- ✓Interoperable multi-cloud ecosystem support with open data formats
- ✓Automatic table services (clustering, compaction, cleaning, file sizing, indexing)
- ✓Built-in tools for auto ingestion from services like Debezium and Kafka
- ✓Query acceleration through multimodal indexes
Pricing
No public pricing plans recorded.