Apache Hudi
Claim this toolAn open data lakehouse platform bringing database functionality to your data lakes.
Free, no paid tier Visit Website Free Visit Website
Reviews on G2
1 review tracked 1 press mention The Bottom Line
- Price
- Free, no paid tier. Compare plans
Key facts
- Brings database functionality (ACID transactions, updates, deletes) to data lakes.
- Enables incremental processing for low-latency, minute-level analytics, replacing batch pipelines.
- Offers extensive integrations across data ecosystems and multi-cloud support for flexible data management.
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.
What is Apache Hudi?
Apache Hudi is an open-source data lakehouse platform designed to bring robust database functionalities, such as transactional guarantees and incremental processing, to large-scale data lakes. It leverages a high-performance open table format to enable minute-level analytics and replaces traditional slow batch processing with an incremental processing framework.
This platform is ideal for organizations dealing with high volumes of streaming data, CDC (Change Data Capture) from databases, and those looking to build resilient data pipelines with ACID properties. It caters to data engineers, architects, and analysts who need to manage and query historical data, ensure data quality, and optimize performance across multi-cloud environments. Hudi's extensive integrations with various data streaming tools, databases, file formats, lake storage, data catalogs, data warehouses, interactive analytics engines, and data processing frameworks make it a versatile solution for modern data architectures.
Key benefits include significantly faster ingestion and lower processing times, the ability to update and delete data efficiently with pluggable indexing, and automatic table services for continuous optimization. It also supports schema evolution and enforcement, ensuring pipeline resilience and preventing data corruption.
Available on: Web
Ratings Across the Web
4.5 (1 reviews)
Apache Hudi holds an aggregate rating of 4.5 out of 5 from 1 reviews across G2, last checked March 19, 2026.
Ratings aggregated from independent review platforms. Learn more
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
Free
Apache Hudi is completely free to use with no hidden costs.
Apache Hudi by the numbers
| Metric | Apache Hudi | Peer median | Position (1 is best) |
|---|---|---|---|
| Free plan | Yes | 18 of 44 have one | n/a |
| Listed as an alternative to | 1 tool | 1 | #21 of 44 (joint) |
Listed as an alternative to: #19 on 2026-10-16 to #21 on 2026-10-31 (rank among 44 tools, 1 is best).
Each position is counted among the tools that have data for that row, as noted under it. All Data Quality data · How we compute this. Advertising and placement fees are not inputs to any position.
Cite this: Toolradar, “Apache Hudi by the numbers”, Oct 2026.
Reviews
$99 Free with your review
Write a review Review Apache Hudi, get a free AI guide
Share your experience and we will send you Improve Your Thinking Patterns Using ChatGPT, free.
Best Apache Hudi Alternatives
Top alternatives based on features, pricing, and user needs.
Still deciding?
Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.
Explore More
Apache Hudi FAQ
How does Apache Hudi support real-time analytics on large datasets?
Apache Hudi enables minute-level analytics by bringing database functionalities like transactional guarantees and incremental processing to data lakes. It replaces traditional slow batch processing with an incremental processing framework, allowing for significantly faster ingestion and lower processing times. This is achieved through a high-performance open table format and efficient update and delete capabilities with pluggable indexing.
Which teams benefit most from implementing Apache Hudi?
Apache Hudi is best suited for data engineers, architects, and analysts who manage and query historical data, ensure data quality, and optimize performance across multi-cloud environments. It is ideal for organizations dealing with high volumes of streaming data and Change Data Capture (CDC) from databases, especially those building resilient data pipelines with ACID properties.
How does Apache Hudi compare to Apache Kafka for data processing?
Apache Hudi is an open data lakehouse platform that brings database functionality to data lakes, focusing on transactional guarantees and efficient data management. In contrast, Apache Kafka is primarily a distributed streaming platform designed for publishing, subscribing to, storing, and processing streams of records. While Kafka handles data streams, Hudi focuses on managing and querying the data once it lands in the lake, offering features like updates, deletes, and schema evolution.
What kind of operational complexity is associated with Apache Hudi?
While Apache Hudi simplifies many aspects of data management, managing a Hudi-based data lakehouse still involves operational complexity, especially at scale. It requires a deeper understanding of data lakehouse concepts and Hudi-specific configurations compared to traditional data warehouses. Performance optimization might also necessitate fine-tuning of table services and indexing strategies.
Does Apache Hudi include a free tier?
Apache Hudi is free to use, as it is an open-source data lakehouse platform. There is no paid plan required to utilize its functionalities for bringing database capabilities to data lakes.
Can Apache Hudi handle schema changes in data pipelines?
Yes, Apache Hudi supports schema evolution and enforcement, which is crucial for maintaining pipeline resilience. This capability helps prevent data corruption by adapting to changes in data structure over time, ensuring data quality and consistency within the data lakehouse.
How does Apache Hudi ensure data quality and reliability?
Apache Hudi ensures data quality and reliability through several mechanisms, including transactional guarantees and ACID properties for data operations. It also supports schema evolution and enforcement, which helps prevent data corruption and maintains consistency. Automatic table services contribute to continuous optimization and data integrity.
Source: hudi.apache.org