Apache Hudi

Apache Hudi is a data lake platform that provides incremental data processing primitives including upserts and incremental queries. It manages storage of large analytical datasets on distributed file systems with ACID transactions, timeline-based versioning, and integrations for Spark, Flink, and Hive.

Apache Hudi publishes 3 API contracts indexed on the APIs.io network, including Tables API, Timeline API, and 1 more. Tagged areas include ACID, Apache, Big Data, Data Lake, and Incremental Processing.

The Apache Hudi catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.

Apache Hudi’s developer surface includes documentation, getting-started guide, engineering blog, and 16 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

33.4/100 thin ▬ flat Agent 17/100 agent aware Heartbeat 100/100 alive self hosted · Apache-2.0 Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemium

1 published contract 8 Features 5 Use Cases

ACID Apache Big Data Data LakeIncremental ProcessingLakehouse Open Source

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 33.4/100 · thin

Contract Quality 7.6 / 16

Developer Ergonomics 4.0 / 13

Access Clarity 1.0 / 13

Operational Transparency 3.1 / 8

Contract Governance 2.1 / 8

Discoverability 3.7 / 7

Regulatory Posture 2.5 / 15

Open Source Surface 4.0 / 10

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 17/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 65 points between them, because both conditional facets apply and carry 35 points together. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 65% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

10 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Access Clarity scores 7.9 — up to +18.4 composite points
Developer Ergonomics scores 31.0 — up to +13.8 composite points
Contract Quality scores 46.5 — up to +13.4 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/apache-hudi/apis.yml: open an issue on github.com/api-evangelist/apache-hudi to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OpenAPI

measured — observed by APIs.io (published)

APIs 3

Individual APIs this provider publishes, each with its own machine-readable definition.

Apache Hudi Java API

Java API for writing Hudi tables with upserts, inserts, and deletes, plus timeline management, compaction, and Spark/Flink DataSource integration APIs.

Apache Hudi Tables API

Hudi table management operations

Apache Hudi Timeline API

Hudi timeline and commit operations

Open Collections 3

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Apache Hudi Timeline Server Tables API

OPEN COLLECTION

Apache Hudi Server Tables Timeline API

OPEN COLLECTION

Apache Hudi Timeline Server API

OPEN COLLECTION

Apache Hudi API pricing

Not yet checked against Apache Hudi's own pricing page. Compiled by API Evangelist on 2026-05-04; confirm before you rely on a figure. A free plan or tier is listed.

Plan	Price
Free freemium	Free
Professional paid	Free
Enterprise enterprise	—

Plan details, limits and sources →

Rate limits

Free Tier Default: 10 requests per minute
Free Tier Monthly Quota: 1000 requests per month
Professional Tier Default: 100 requests per minute

Compiled by API Evangelist, not yet checked against Apache Hudi's documentation. All 5 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

Apache Hudi Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Apache Hudi Rate Limits

5 limits

RATE LIMITS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Apache Hudi

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Apache Hudi Finops

FINOPS

Features 8

Notable capabilities this provider offers.

ACID Upserts

Atomically insert or update records in data lake tables with ACID guarantees using record keys.

Hudi Timeline

Immutable commit timeline tracking all mutations for time travel, rollback, and incremental queries.

Incremental Queries

Query only the data changed since a given commit timestamp for efficient streaming ingestion.

Copy-On-Write Tables

COW table type rewrites entire Parquet files on upsert for read-optimized query performance.

Merge-On-Read Tables

MOR table type appends delta logs for fast writes with compaction-based read optimization.

Table Services

Built-in cleaning, compaction, clustering, and indexing services for table maintenance.

Multi-Engine Support

Read and write Hudi tables from Apache Spark, Flink, Hive, Presto, Trino, and Athena.

Schema Evolution

Support for adding, renaming, and dropping columns with backward-compatible schema evolution.

Scroll for all 8

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Apache Hudi Timeline Context

25 classes · 0 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

Apache Hudi — jsonschema rules

5 rules · 3 warnings 2 info

SPECTRAL

Apache Hudi API Rules

13 rules · 2 errors 9 warnings 2 info

SPECTRAL

JSON Schema 6

Standalone JSON Schema definitions for this provider's data models.

CleanConfig

4 properties

JSON SCHEMA

CommitMetadata

6 properties

JSON SCHEMA

HudiTable

7 properties

JSON SCHEMA

QueryConfig

4 properties

JSON SCHEMA

TimelineInstant

3 properties

JSON SCHEMA

WriteConfig

5 properties

JSON SCHEMA

JSON Structure 6

JSON Structure definitions describing this provider's data shapes.

Hudi Cleanconfig Structure

4 properties

JSON STRUCTURE

Hudi Commitmetadata Structure

6 properties

JSON STRUCTURE

Hudi Huditable Structure

7 properties

JSON STRUCTURE

Hudi Queryconfig Structure

4 properties

JSON STRUCTURE

Hudi Timelineinstant Structure

3 properties

JSON STRUCTURE

Hudi Writeconfig Structure

5 properties

JSON STRUCTURE

Examples 6

Example request and response payloads for these APIs.

Hudi Cleanconfig Example

4 fields

EXAMPLE

Hudi Commitmetadata Example

6 fields

EXAMPLE

Hudi Huditable Example

7 fields

EXAMPLE

Hudi Queryconfig Example

4 fields

EXAMPLE

Hudi Timelineinstant Example

3 fields

EXAMPLE

Hudi Writeconfig Example

5 fields

EXAMPLE

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Apache Hudi Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Apache Hudi Vulnerability Disclosure

security.txt · contact published

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Apache Hudi Agentic Access

5 operations · 2 acting

AGENTIC

Use Cases 5

What developers build with this provider.

CDC Pipeline Ingestion

Ingest change data capture (CDC) events from databases into data lake tables with upsert support.

Streaming Data Lake

Build near-real-time data lake pipelines with Spark Structured Streaming or Flink.

Data Lake Maintenance

Manage storage costs with automated cleaning, compaction, and clustering of Hudi tables.

Incremental ETL

Build incremental ETL pipelines that process only changed data since the last run.

Regulatory Data Retention

Implement GDPR right-to-erasure by deleting records from Hudi tables with delete operations.

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

SpectralRules

SpectralRules

Vocabulary

Vocabulary

Build 3

SDKs, sample code, and the tooling you integrate with

CodeOfConduct

CodeOfConduct

GitHubOrganization

GitHubOrganization

GitHubRepository

GitHubRepository

Access & Security 2

Authentication, authorization, and security posture

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

RateLimits

RateLimits

IssueTracker

IssueTracker

Releases

Releases

Commercial 3

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

License

License

Company 3

The organization behind the API

Website

Website

LinkedIn

Blog

Blog

Source (apis.yml)

aid: apache-hudi
name: Apache Hudi
description: Apache Hudi is a data lake platform that provides incremental data processing primitives including upserts and
  incremental queries. It manages storage of large analytical datasets on distributed file systems with ACID transactions,
  timeline-based versioning, and integrations for Spark, Flink, and Hive.
type: Index
deliveryModel:
  model: self-hosted
  license: Apache-2.0
  open_source: true
  commercial: false
  callable_host: false
  label: Self-hosted open source · you run it yourself
  confidence: high
  source:
  - license
  - openapi
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: low
  try_now_blocked_by: loopback
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
position: Consuming
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/apache-hudi.png
x-docs-platform: docusaurus
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-09-19
tags:
- ACID
- Apache
- Big Data
- Data Lake
- Incremental Processing
- Lakehouse
- Open Source
tags_raw:
- ACID
- Apache
- Big Data
- Data Lake
- Incremental Processing
- Lakehouse
- Open Source
- Open-Source
created: '2026-03-16'
modified: '2026-05-19'
url: https://raw.githubusercontent.com/api-evangelist/apache-hudi/refs/heads/main/apis.yml
specificationVersion: '0.23'
apis:
- aid: apache-hudi:apache-hudi-java-api
  name: Apache Hudi Java API
  description: Java API for writing Hudi tables with upserts, inserts, and deletes, plus timeline management, compaction,
    and Spark/Flink DataSource integration APIs.
  humanURL: https://hudi.apache.org/docs/writing_data
  tags:
  - Java
  - SDK
  - Spark
  - Flink
  properties:
  - type: Documentation
    url: https://hudi.apache.org/docs/writing_data
  - type: SDKs
    url: https://search.maven.org/artifact/org.apache.hudi/hudi-spark3.5-bundle_2.12
    title: Java SDK (Maven Central)
- aid: apache-hudi:apache-hudi-tables-api
  name: Apache Hudi Tables API
  description: Hudi table management operations
  humanURL: https://hudi.apache.org/docs/timeline
  baseURL: http://localhost:9090
  tags:
  - Tables
  properties:
  - type: OpenAPI
    url: openapi/apache-hudi-tables-api-openapi.yml
  - type: Documentation
    url: https://hudi.apache.org/docs/timeline
  - type: JSONLD
    url: json-ld/apache-hudi-timeline-context.jsonld
- aid: apache-hudi:apache-hudi-timeline-api
  name: Apache Hudi Timeline API
  description: Hudi timeline and commit operations
  humanURL: https://hudi.apache.org/docs/timeline
  baseURL: http://localhost:9090
  tags:
  - Timelines
  tags_raw:
  - Timeline
  properties:
  - type: OpenAPI
    url: openapi/apache-hudi-timeline-api-openapi.yml
  - type: Documentation
    url: https://hudi.apache.org/docs/timeline
  - type: JSONLD
    url: json-ld/apache-hudi-timeline-context.jsonld
common:
- type: Plans
  url: plans/apache-hudi-plans-pricing.yml
- type: RateLimits
  url: rate-limits/apache-hudi-rate-limits.yml
- type: FinOps
  url: finops/apache-hudi-finops.yml
- type: Website
  url: https://www.apache.org/
- type: IssueTracker
  url: https://github.com/apache/hudi/issues
- type: Releases
  url: https://github.com/apache/hudi/releases
- type: CodeOfConduct
  url: https://github.com/apache/.github/blob/main/.github/CODE_OF_CONDUCT.md
- type: License
  name: Apache-2.0
  url: https://github.com/apache/hudi/blob/master/LICENSE
- type: AgenticAccess
  url: agentic-access/apache-hudi-agentic-access.yml
- type: VulnerabilityDisclosure
  url: security/apache-hudi-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/apache-hudi-domain-security.yml
- type: LinkedIn
  url: https://www.linkedin.com/company/apache-hudi
- type: Documentation
  url: https://hudi.apache.org/docs/overview
- type: GettingStarted
  url: https://hudi.apache.org/docs/quick-start-guide
- type: GitHubOrganization
  url: https://github.com/apache
- type: GitHubRepository
  url: https://github.com/apache/hudi
- type: SpectralRules
  url: rules/apache-hudi-spectral-rules.yml
- type: Vocabulary
  url: vocabulary/apache-hudi-vocabulary.yaml
- type: Features
  data:
  - name: ACID Upserts
    description: Atomically insert or update records in data lake tables with ACID guarantees using record keys.
  - name: Hudi Timeline
    description: Immutable commit timeline tracking all mutations for time travel, rollback, and incremental queries.
  - name: Incremental Queries
    description: Query only the data changed since a given commit timestamp for efficient streaming ingestion.
  - name: Copy-On-Write Tables
    description: COW table type rewrites entire Parquet files on upsert for read-optimized query performance.
  - name: Merge-On-Read Tables
    description: MOR table type appends delta logs for fast writes with compaction-based read optimization.
  - name: Table Services
    description: Built-in cleaning, compaction, clustering, and indexing services for table maintenance.
  - name: Multi-Engine Support
    description: Read and write Hudi tables from Apache Spark, Flink, Hive, Presto, Trino, and Athena.
  - name: Schema Evolution
    description: Support for adding, renaming, and dropping columns with backward-compatible schema evolution.
- type: UseCases
  data:
  - name: CDC Pipeline Ingestion
    description: Ingest change data capture (CDC) events from databases into data lake tables with upsert support.
  - name: Streaming Data Lake
    description: Build near-real-time data lake pipelines with Spark Structured Streaming or Flink.
  - name: Data Lake Maintenance
    description: Manage storage costs with automated cleaning, compaction, and clustering of Hudi tables.
  - name: Incremental ETL
    description: Build incremental ETL pipelines that process only changed data since the last run.
  - name: Regulatory Data Retention
    description: Implement GDPR right-to-erasure by deleting records from Hudi tables with delete operations.
- type: Integrations
  data:
  - name: Apache Spark
    description: Primary write and read engine with Hudi DataSource and Spark SQL extensions.
  - name: Apache Flink
    description: Flink sink and source connectors for streaming writes and incremental reads.
  - name: Apache Hive
    description: Hive Metastore sync for making Hudi tables queryable from HiveQL.
  - name: Presto / Trino
    description: Native Hudi input format support for querying Hudi tables from Presto and Trino.
  - name: AWS Athena
    description: Athena supports reading Hudi COW and MOR tables stored in Amazon S3.
- type: Integrations
  url: https://hudi.apache.org/ecosystem/
- url: https://hudi.apache.org/blog/rss.xml
  type: Blog
integrations:
- name: Apache Hudi
- name: Apache Hudiâ¢
maintainers:
- FN: Kin Lane
  email: info@apievangelist.com

Apache Hudi API — frequently asked questions

Does Apache Hudi have an API?

Yes. APIs.io lists 3 APIs from Apache Hudi, including Apache Hudi Java API, Apache Hudi Tables API and Apache Hudi Timeline API.

Is there an OpenAPI specification for the Apache Hudi API?

Yes. APIs.io indexes 2 OpenAPI specifications for Apache Hudi, each linked for download from this page.

How much does the Apache Hudi API cost?

APIs.io lists 3 pricing plans for Apache Hudi, with each plan's price, limits and inclusions under Pricing on this page.

Is the Apache Hudi API ready for AI agents?

Apache Hudi has a Kin Score of 33.4 out of 100 (thin) and an Agent Readiness score of 17.2 (agent-aware), scored by API Evangelist on 2026-11-06.

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