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Table Format (table-format)

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Full detail: Where this data comes from

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.

APIs.json: https://raw.githubusercontent.com/api-evangelist/table-format/refs/heads/main/apis.yml

Scope

  • Type: Index

Tags

  • Data Lakehouse
  • Open Table Format
  • Apache Iceberg
  • Delta Lake
  • Apache Hudi
  • Data Lake
  • ACID Transactions
  • Schema Evolution
  • Time Travel

Timestamps

  • Created: 2025
  • Modified: 2026-05-19

APIs

Apache Iceberg REST Catalog API

The Apache Iceberg REST Catalog API is an open OpenAPI specification that defines a standard interface for interacting with Apache Iceberg table catalogs. It enables catalog operations including namespace management, table creation, schema updates, and metadata retrieval across any compliant catalog implementation (Polaris, Nessie, AWS Glue, Google BigLake).

Tags

  • Apache Iceberg
  • Data Catalog
  • REST Catalog
  • Data Lakehouse

Properties

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 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.

Tags

  • Delta Lake
  • Data Lake
  • ACID Transactions
  • Apache Spark
  • Databricks

Properties

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-on-Write (COW) and Merge-on-Read (MOR) table types and is used for CDC-based data pipelines and streaming analytics.

Tags

  • Apache Hudi
  • Data Lake
  • CDC
  • Incremental Processing

Properties

Unity Catalog

Unity Catalog is an open-source, multi-modal catalog for data and AI that supports Apache Iceberg REST Catalog API, Apache Hive Metastore (HMS) API, and Delta Sharing. It provides unified governance across Delta Lake, Iceberg, and Hudi tables with an OpenAPI specification under Apache 2.0 license.

Tags

  • Data Catalog
  • Unity Catalog
  • Data Governance
  • Multi-format

Properties

Common Properties

Maintainers

FN: Kin Lane Email: kin@apievangelist.com

About

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…

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