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Apache Hudi

hudi.apache.org

Free plan LinuxSelf-hosted
Visit hudi.apache.org
Spec score 8.1 #4 of 17 in Ai Data Platforms

What it is

Apache Hudi is a free, 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 records, with pluggable indexing for change-data-capture and streaming workloads. Transaction features include atomic writes, snapshot isolation, and non-blocking concurrency controls. Users can query historical table versions, roll back changes, and review commit history. Automated table services handle clustering, compaction, cleaning, file sizing, and indexing, while schema evolution and enforcement accommodate changing data. Listed integrations include Apache Spark, Apache Flink, Kafka, Debezium, Amazon S3, Google Cloud Storage, Azure Blob Storage, Trino, and dbt. Some integrations are read-only, so Spark or Flink may write Hudi tables for those systems to query. Downloads include source releases and Maven bundles, with PGP verification advised. Hudi relies on the security posture of its compute and storage environment.

Spec sheet

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.Read 4 Oct 2026 · hudi.apache.org
Intended users
The site describes Hudi as a platform for building data lakes and lakehouses with streaming ingestion and incremental data processing.Read 4 Oct 2026 · hudi.apache.org
Integrations
The site lists integrations including Apache Spark, Apache Flink, Kafka, Debezium, Amazon S3, Google Cloud Storage, Azure Blob Storage, Trino, and dbt.Read 4 Oct 2026 · hudi.apache.org
Support
The site points users to community channels including Slack, GitHub, and the Hudi mailing list for community participation and technical help.Read 4 Oct 2026 · hudi.apache.org
Founded
2016Read 28 Sep 2026 · hudi.apache.org
Download options
The download page offers source releases and Maven bundles for Spark, Flink, query engines, utilities, and platform integrations.Read 4 Oct 2026 · hudi.apache.org
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.Read 4 Oct 2026 · hudi.apache.org
Mutability
Hudi supports updating and deleting data with pluggable indexing, including CDC and streaming workloads.Read 4 Oct 2026 · hudi.apache.org
Release verification
The download page instructs users to verify downloaded release files with PGP signatures.Read 4 Oct 2026 · hudi.apache.org
Schema
Hudi supports schema evolution and enforcement to adapt tables as data changes and help avoid data corruption.Read 4 Oct 2026 · hudi.apache.org
Security model
Hudi relies on the security posture of its underlying compute engine and storage environment.Read 4 Oct 2026 · hudi.apache.org
Table services
Hudi automates table services including clustering, compaction, cleaning, file sizing, and indexing.Read 4 Oct 2026 · hudi.apache.org
Time travel
Hudi supports querying historical table versions, rolling back, and reviewing commit history.Read 4 Oct 2026 · hudi.apache.org
Transactions
Hudi lists atomic writes, snapshot isolation, and non-blocking concurrency controls among its transactional features.Read 4 Oct 2026 · hudi.apache.org
Vulnerability reporting
The security page asks people to report potential vulnerabilities privately to the Apache Security Team before public disclosure.Read 4 Oct 2026 · hudi.apache.org

Plans and prices

Apache Hudi Free Open-source data lakehouse platform · Source releases and Maven artifacts Read 4 Oct 2026 · hudi.apache.org

Every Apache Hudi plan and price →

Strong points and limits

Strong points

  • Updates and deletes with indexing
  • Atomic writes and snapshot isolation
  • Historical versions and rollback
  • Automated table services
  • Broad data-system integrations

Limits

  • Some integrations are read-only
  • Security depends on underlying environment
  • No free trial listed

Who it suits

It suits teams building self-hosted data lakes or lakehouses with streaming ingestion, incremental processing, SQL analytics, and transactional table operations. Linux and external storage deployments are listed.

Verdict

Hudi targets mutable, transactional lakehouse workloads rather than static files alone. Its table services, time travel, and integration list support incremental pipelines, while connector capabilities vary by system.

Where Specifiction places it

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