Apache Hudi
Apache Hudi is an open-source data lakehouse platform that adds database capabilities to data lakes and supports incremental processing for low-latency analy…
What Apache Hudi is
Apache Hudi is an open-source data lakehouse platform that adds database capabilities to data lakes and supports incremental processing for low-latency analytics. It can update and delete data, with pluggable indexing for CDC and streaming workloads. Its transaction features include atomic writes, snapshot isolation, and non-blocking concurrency controls. Users can query earlier table versions, roll back changes, and review commit history. Hudi automates table operations such as clustering, compaction, cleaning, file sizing, and indexing, and supports schema evolution and enforcement. Listed integrations include Apache Spark, Apache Flink, Kafka, Debezium, Amazon S3, Google Cloud Storage, Azure Blob Storage, Trino, and dbt. Some integrated systems support reading only, so Spark or Flink can write Hudi tables for those systems to query. Source releases and Maven bundles are available, and downloaded releases should be verified with PGP signatures. Hudi relies on the security of its underlying compute engine and storage environment. Community help is available through Slack, GitHub, and the mailing list.
Good
- Supports updates, deletes, and streaming workloads.
- Provides snapshot isolation and atomic writes.
- Historical table versions can be queried.
- Automates compaction, cleaning, and indexing.
- Source releases and Maven bundles are available.
Watch out
- Some listed integrations support reading only.
- Security relies on the underlying compute and storage environment.
- Downloaded releases should be checked with PGP signatures.
Who it suits
Hudi suits teams building data lakes or lakehouses that need streaming ingestion and incremental processing. It is relevant where table updates, historical queries, and integrations with the listed compute and storage systems matter.
Verdict
Apache Hudi offers data-lake table management alongside incremental processing and historical queries. Teams should account for read-only integration cases and the security responsibilities of their underlying environment.
Plans and prices
From Apache Hudi's own pricing page, checked 4 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Apache Hudi | Free | Open-source data lakehouse platform · Source releases and Maven artifacts |
The facts
Each one read from Apache Hudi's own pages, with the date it was checked.
What it does
- Download options
- The download page offers source releases and Maven bundles for Spark, Flink, query engines, utilities, and platform integrations.checked 4 Oct 2026
- Integration limitation
- The integrations page says some listed systems support reading only, so Spark or Flink can be used to write Hudi tables for those systems to query.checked 4 Oct 2026
- Integrations
- The site lists integrations including Apache Spark, Apache Flink, Kafka, Debezium, Amazon S3, Google Cloud Storage, Azure Blob Storage, Trino, and dbt.checked 4 Oct 2026
- Intended users
- The site describes Hudi as a platform for building data lakes and lakehouses with streaming ingestion and incremental data processing.checked 4 Oct 2026
- Mutability
- Hudi supports updating and deleting data with pluggable indexing, including CDC and streaming workloads.checked 4 Oct 2026
- Release verification
- The download page instructs users to verify downloaded release files with PGP signatures.checked 4 Oct 2026
- Schema
- Hudi supports schema evolution and enforcement to adapt tables as data changes and help avoid data corruption.checked 4 Oct 2026
- Security model
- Hudi relies on the security posture of its underlying compute engine and storage environment.checked 4 Oct 2026
- Support
- The site points users to community channels including Slack, GitHub, and the Hudi mailing list for community participation and technical help.checked 4 Oct 2026
- Table services
- Hudi automates table services including clustering, compaction, cleaning, file sizing, and indexing.checked 4 Oct 2026
- Time travel
- Hudi supports querying historical table versions, rolling back, and reviewing commit history.checked 4 Oct 2026
- Transactions
- Hudi lists atomic writes, snapshot isolation, and non-blocking concurrency controls among its transactional features.checked 4 Oct 2026
- Vulnerability reporting
- The security page asks people to report potential vulnerabilities privately to the Apache Security Team before public disclosure.checked 4 Oct 2026
- What it does
- Apache Hudi is an open data lakehouse platform that brings database functionality to data lakes and supports incremental processing for low-latency analytics.checked 4 Oct 2026
The company
- Founded
- 2016checked 28 Sep 2026
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