Apache Hudi
Delta Lake is an open-source storage framework for building lakehouse architectures with ACID transactions, time travel, and unified batch/streaming.
Score
30
User Rating
3.0
Free/Trial Support
Supported
Starting Price
--
Last Updated
Apr 24, 2026
Overview
What is Apache Hudi?
Delta Lake is an open-source storage framework that enables building a format-agnostic lakehouse architecture with compute engines like Spark, PrestoDB, and Flink. It supports ACID transactions, scalable metadata, time travel, schema evolution, and unified batch/streaming processing.
What is Apache Hudi used for?
Top Features
- ACID transactions
- Scalable metadata handling
- Time travel
- Schema evolution and enforcement
- Unified batch and streaming
- Audit history
- DML operations with SQL and APIs
- Open source and community-driven
How to use Apache Hudi?
Use Delta Lake by integrating it with compute engines such as Spark, PrestoDB, or Flink via APIs for Scala, Java, Rust, and Python. Set up tables, perform DML operations, and leverage features like time travel and audit history for data management.
Alternative Tools
No alternative tools found
Pros & Cons
Pros
- Open source and free
- High customizability and platform agnostic
- Production-ready with strong community support
- Unified format for ETL, data warehousing, and ML
Cons
- Requires integration with compute engines
- Steep learning curve for beginners
Use Cases
- Building data lakehouses
- Real-time data ingestion and analytics
- Data auditing and rollback scenarios
- Big data processing with multiple query engines
Apache Hudi Pricing
Free Plan
No detailed pricing information available
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