Table Format

Open Table Format is a category of open standards for organizing and managing data in data lakehouses. The three dominant formats are Apache Iceberg (the emerging industry standard with snapshot-based metadata and broad engine support), Delta Lake (Databricks-originated, transaction-log-based), and Apache Hudi (upsert-optimized with Copy-on-Write and Merge-on-Read modes). These formats bring ACID transactions, schema evolution, time travel, and efficient query planning to data lake storage. Apache Iceberg defines a REST Catalog API (OpenAPI spec) that enables standardized catalog operations across implementations like Polaris, Nessie, AWS Glue, and Google BigLake.

Table Format publishes 8 API contracts indexed on the APIs.io network, including Commits API, Configuration API, Namespaces API, and 5 more. Tagged areas include Data Lakehouse, Open Table Format, Apache Iceberg, Delta Lake, and Apache Hudi.

The Table Format catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Table Format’s developer surface includes authentication, engineering blog, and 16 more developer resources.

📡 Profile data on GitHub

33.1/100 thin ▬ flat Agent 20/100 agent aware Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessFreemiumSelf serve⚡ Free to try

1 published contract

Data LakehouseOpen Table FormatApache Iceberg Delta LakeApache HudiData LakeACID TransactionsSchema Evolution Time Travel

Kin Score

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

Composite quality — 33.1/100 · thin

Contract Quality 10.0 / 19

Developer Ergonomics 3.6 / 15

Access Clarity 1.2 / 15

Operational Transparency 2.3 / 10

Contract Governance 2.1 / 9

Discoverability 4.3 / 8

Regulatory Posture 4.9 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 20/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 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.

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 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% 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
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
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document

9 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 23.8 — up to +15.2 composite points
Contract Quality scores 53.1 — up to +11.7 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/table-format/apis.yml: open an issue on github.com/api-evangelist/table-format 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 4

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.

Apache Iceberg

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

Delta Lake

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

OpenAPI

measured — observed by APIs.io (published)

OAuth 2.0

measured — observed by APIs.io (declared)

APIs 8

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

Delta Lake

Delta Lake is an open-source storage framework developed by Databricks that adds reliability, performance, and ACID compliance to data lakes. It uses a transaction log (delta lo...

Apache Hudi

Apache Hudi (Hadoop Upserts Deletes and Incrementals) is an open-source data lakehouse platform optimized for upserts, deletes, and incremental data processing. It supports Copy...

Table Format Commits API

Transaction commits and metadata updates

Table Format Configuration API

Catalog configuration and discovery

Table Format Namespaces API

Namespace (database/schema) management

Table Format Tables API

Table creation, listing, loading, and management

Table Format Views API

View lifecycle management

Table Format O Auth2 API

OAuth2 token management

Scroll for all 8

Open Collections 7

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

Apache Iceberg REST Catalog API

OPEN COLLECTION

Apache Iceberg REST Catalog Commits API

OPEN COLLECTION

Apache Iceberg REST Catalog Commits Configuration API

OPEN COLLECTION

Apache Iceberg REST Catalog Commits Namespaces API

OPEN COLLECTION

Apache Iceberg REST Catalog Commits OAuth2 API

OPEN COLLECTION

Apache Iceberg REST Catalog Commits Tables API

OPEN COLLECTION

Apache Iceberg REST Catalog Commits Views API

OPEN COLLECTION

Scroll for all 7

Table Format API pricing

Not yet checked against Table Format'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 Table Format's documentation. All 5 limits →

Pricing Plans 1

Published pricing tiers and plan structures.

Table Format Plans Pricing

3 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Table Format 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.

Table Format

SLA

FinOps 1

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

Table Format Finops

FINOPS

Semantic Vocabularies 1

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

Table Format Context

26 classes · 0 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Table Format — jsonschema rules

5 rules · 3 warnings 2 info

SPECTRAL

JSON Schema 1

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

Apache Iceberg Table Metadata

11 properties

JSON SCHEMA

JSON Structure 1

JSON Structure definitions describing this provider's data shapes.

Table Format Iceberg Table Structure

0 properties

JSON STRUCTURE

Examples 2

Example request and response payloads for these APIs.

Apache Iceberg Create Table Example

2 fields

EXAMPLE

Apache Iceberg List Namespaces Example

2 fields

EXAMPLE

Security Posture 3

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

Table Format Authentication

http/oauth2 · 2 schemes

SECURITY

Table Format Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Table Format Vulnerability Disclosure

security.txt · contact published

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Table Format Scopes

1 scope · clientCredentials

1 scopes

SCOPES

Agentic Access 1

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

Table Format Agentic Access

18 operations · 11 acting

AGENTIC

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Vocabulary

Vocabulary

Build 3

SDKs, sample code, and the tooling you integrate with

Apache Iceberg GitHub

Apache Iceberg GitHub

Delta Lake GitHub

Delta Lake GitHub

Apache Hudi GitHub

Apache Hudi GitHub

Access & Security 4

Authentication, authorization, and security posture

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Authentication

Authentication

OAuthScopes

OAuthScopes

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Company 1

The organization behind the API

Blog

Blog

Other 5

Properties that don't map to a standard resource type

Wikipedia

Apache Iceberg

Delta Lake

Apache Hudi

Unity Catalog

Source (apis.yml)

aid: table-format
name: Table Format
description: Open Table Format is a category of open standards for organizing and managing data in data lakehouses. The three
  dominant formats are Apache Iceberg (the emerging industry standard with snapshot-based metadata and broad engine support),
  Delta Lake (Databricks-originated, transaction-log-based), and Apache Hudi (upsert-optimized with Copy-on-Write and Merge-on-Read
  modes). These formats bring ACID transactions, schema evolution, time travel, and efficient query planning to data lake
  storage. Apache Iceberg defines a REST Catalog API (OpenAPI spec) that enables standardized catalog operations across implementations
  like Polaris, Nessie, AWS Glue, and Google BigLake.
type: Index
deliveryModel:
  model: unknown
  license_evidence:
    not_product:
    - apache/hudi
    - apache/iceberg
    - delta-io/delta
    - unitycatalog/unitycatalog
  open_source: unknown
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - openapi
  - repository-not-product
  generated: '2026-09-25'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/table-format.png
tags:
- Data Lakehouse
- Open Table Format
- Apache Iceberg
- Delta Lake
- Apache Hudi
- Data Lake
- ACID Transactions
- Schema Evolution
- Time Travel
url: https://raw.githubusercontent.com/api-evangelist/table-format/refs/heads/main/apis.yml
created: '2025'
modified: '2026-05-19'
specificationVersion: '0.23'
apis:
- aid: table-format:delta-lake
  name: Delta Lake
  description: Delta Lake is an open-source storage framework developed by Databricks that adds reliability, performance,
    and ACID compliance to data lakes. It uses a transaction log (delta log) to record all changes to data. Delta Lake is
    deeply integrated with Apache Spark and supports batch and streaming workloads, schema enforcement, time travel, and MERGE
    operations.
  humanURL: https://delta.io/
  tags:
  - Delta Lake
  - Data Lake
  - ACID Transactions
  - Apache Spark
  - Databricks
  properties:
  - type: Documentation
    url: https://docs.delta.io/
  - type: GitHub
    url: https://github.com/delta-io/delta
- aid: table-format:apache-hudi
  name: Apache Hudi
  description: Apache Hudi (Hadoop Upserts Deletes and Incrementals) is an open-source data lakehouse platform optimized for
    upserts, deletes, and incremental data processing. It supports Copy-on-Write (COW) and Merge-on-Read (MOR) table types
    and is used for CDC-based data pipelines and streaming analytics.
  humanURL: https://hudi.apache.org/
  tags:
  - Apache Hudi
  - Data Lake
  - Change Data Capture
  - Incremental Processing
  tags_raw:
  - Apache Hudi
  - Data Lake
  - Change Data Capture
  - Incremental Processing
  properties:
  - type: Documentation
    url: https://hudi.apache.org/docs/overview/
  - type: GitHub
    url: https://github.com/apache/hudi
- aid: table-format:table-format-commits-api
  name: Table Format Commits API
  description: Transaction commits and metadata updates
  humanURL: https://iceberg.apache.org/rest-catalog-spec/
  baseURL: https://catalog-service/
  tags:
  - Commits
  properties:
  - type: OpenAPI
    url: openapi/table-format-commits-api-openapi.yml
  - type: Documentation
    url: https://iceberg.apache.org/rest-catalog-spec/
  - type: GitHub
    url: https://github.com/apache/iceberg
  - type: Documentation
    url: https://www.unitycatalog.io/
  - type: GitHub
    url: https://github.com/unitycatalog/unitycatalog
- aid: table-format:table-format-configuration-api
  name: Table Format Configuration API
  description: Catalog configuration and discovery
  humanURL: https://iceberg.apache.org/rest-catalog-spec/
  baseURL: https://catalog-service/
  tags:
  - Configuration
  properties:
  - type: OpenAPI
    url: openapi/table-format-configuration-api-openapi.yml
  - type: Documentation
    url: https://iceberg.apache.org/rest-catalog-spec/
  - type: GitHub
    url: https://github.com/apache/iceberg
  - type: Documentation
    url: https://www.unitycatalog.io/
  - type: GitHub
    url: https://github.com/unitycatalog/unitycatalog
- aid: table-format:table-format-namespaces-api
  name: Table Format Namespaces API
  description: Namespace (database/schema) management
  humanURL: https://iceberg.apache.org/rest-catalog-spec/
  baseURL: https://catalog-service/
  tags:
  - Namespaces
  properties:
  - type: OpenAPI
    url: openapi/table-format-namespaces-api-openapi.yml
  - type: Documentation
    url: https://iceberg.apache.org/rest-catalog-spec/
  - type: GitHub
    url: https://github.com/apache/iceberg
  - type: Documentation
    url: https://www.unitycatalog.io/
  - type: GitHub
    url: https://github.com/unitycatalog/unitycatalog
- aid: table-format:table-format-tables-api
  name: Table Format Tables API
  description: Table creation, listing, loading, and management
  humanURL: https://iceberg.apache.org/rest-catalog-spec/
  baseURL: https://catalog-service/
  tags:
  - Tables
  properties:
  - type: OpenAPI
    url: openapi/table-format-tables-api-openapi.yml
  - type: Documentation
    url: https://iceberg.apache.org/rest-catalog-spec/
  - type: GitHub
    url: https://github.com/apache/iceberg
  - type: Documentation
    url: https://www.unitycatalog.io/
  - type: GitHub
    url: https://github.com/unitycatalog/unitycatalog
- aid: table-format:table-format-views-api
  name: Table Format Views API
  description: View lifecycle management
  humanURL: https://iceberg.apache.org/rest-catalog-spec/
  baseURL: https://catalog-service/
  tags:
  - Views
  properties:
  - type: OpenAPI
    url: openapi/table-format-views-api-openapi.yml
  - type: Documentation
    url: https://iceberg.apache.org/rest-catalog-spec/
  - type: GitHub
    url: https://github.com/apache/iceberg
  - type: Documentation
    url: https://www.unitycatalog.io/
  - type: GitHub
    url: https://github.com/unitycatalog/unitycatalog
- aid: table-format:table-format-oauth2-api
  name: Table Format O Auth2 API
  description: OAuth2 token management
  humanURL: https://delta.io/
  baseURL: https://catalog-service/
  tags:
  - OAuth
  - Authentication
  tags_raw:
  - OAuth2
  - Authentication
  properties:
  - type: OpenAPI
    url: openapi/table-format-oauth2-api-openapi.yml
  - type: Documentation
    url: https://iceberg.apache.org/rest-catalog-spec/
  - type: GitHub
    url: https://github.com/apache/iceberg
  - type: Documentation
    url: https://www.unitycatalog.io/
  - type: GitHub
    url: https://github.com/unitycatalog/unitycatalog
common:
- type: Plans
  url: plans/table-format-plans-pricing.yml
- type: RateLimits
  url: rate-limits/table-format-rate-limits.yml
- type: FinOps
  url: finops/table-format-finops.yml
- type: AgenticAccess
  url: agentic-access/table-format-agentic-access.yml
- type: VulnerabilityDisclosure
  url: security/table-format-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/table-format-domain-security.yml
- type: Authentication
  url: authentication/table-format-authentication.yml
- type: OAuthScopes
  url: scopes/table-format-scopes.yml
- type: Wikipedia
  url: https://en.wikipedia.org/wiki/Apache_Iceberg
- type: Apache Iceberg
  url: https://iceberg.apache.org/
- type: Delta Lake
  url: https://delta.io/
- type: Apache Hudi
  url: https://hudi.apache.org/
- type: Unity Catalog
  url: https://www.unitycatalog.io/
- type: Apache Iceberg GitHub
  url: https://github.com/apache/iceberg
- type: Delta Lake GitHub
  url: https://github.com/delta-io/delta
- type: Apache Hudi GitHub
  url: https://github.com/apache/hudi
- type: Vocabulary
  url: https://raw.githubusercontent.com/api-evangelist/table-format/refs/heads/main/vocabulary/table-format-vocabulary.yml
- url: https://iceberg.apache.org/feed_rss_updated.xml
  type: Blog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Table Format API — frequently asked questions

Does Table Format have an API?

Yes. APIs.io lists 8 APIs from Table Format, including Delta Lake, Apache Hudi and Table Format Commits API, and 5 more.

Is there an OpenAPI specification for the Table Format API?

Yes. APIs.io indexes 6 OpenAPI specifications for Table Format, each linked for download from this page.

How do I authenticate with the Table Format API?

Table Format uses bearer-token authentication (http/oauth2 · 2 schemes). The details are profiled on APIs.io as Table Format Authentication.

How much does the Table Format API cost?

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

Is the Table Format API ready for AI agents?

Table Format has a Kin Score of 33.1 out of 100 (thin) and an Agent Readiness score of 19.6 (agent-aware), scored by API Evangelist on 2026-11-06.

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