Apache Iceberg
Apache Hudi is an open data lakehouse platform that brings database functionality to data lakes with incremental processing and ACID transactions.
Score
50
User Rating
1.0
Free/Trial Support
Supported
Starting Price
--
Last Updated
Aug 04, 2026
Overview
What is Apache Iceberg?
Apache Hudi is an open-source data lakehouse platform built on a high-performance table format, designed to enhance data lakes with database-like features such as mutability, ACID transactions, time travel, and incremental processing for low-latency analytics.
What is Apache Iceberg used for?
Top Features
- Mutability support for updates and deletes
- Incremental processing for efficiency
- ACID transactional guarantees
- Time travel for historical data analysis
- Multi-cloud ecosystem interoperability
- Automatic table services for optimization
- Multimodal indexes for query acceleration
- Schema evolution and enforcement
How to use Apache Iceberg?
Integrate Hudi with data streaming sources like Kafka, databases via CDC, and query engines like Spark or Flink to manage and process data in cloud storage, enabling efficient updates, deletions, and analytics on large datasets.
Alternative Tools
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Pros & Cons
Pros
- Open-source and free
- High performance with low latency
- Extensive ecosystem integrations
- Supports large-scale data lakes
- Robust ACID compliance
Cons
- Steep learning curve for beginners
- Requires technical expertise to deploy and manage
Use Cases
- Real-time data ingestion and processing
- Data lake management for enterprises
- Historical data auditing and debugging
- Cloud-native analytics pipelines
Apache Iceberg Pricing
Free Plan
No detailed pricing information available
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