# apache/incubator-xtable

Apache XTable (incubating) is a cross-table converter for lakehouse table formats that facilitates interoperability across data processing systems and query engines.

Repository: https://github.com/apache/incubator-xtable
Canonical: https://ross.abutalabs.com/products/incubator-xtable
Homepage: https://xtable.apache.org/
Language: Java
License: Apache-2.0
License Family: permissive
Topics: apache-hudi, apache-iceberg, delta-lake
Last push: 2026-08-26T17:57:45+00:00

## Health v2 (maintenance only)
Score: 84/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 67, longevity 81
- inputs: {"age_days": 1139, "days_push": 7, "days_rel": 9, "gap_med": 326.5, "n_releases_24m": 3}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1205, forks 209 (observed 2026-08-28T04:03:59.244083+00:00)

## What it is
Apache XTable (incubating) is a cross-table converter that translates lakehouse table format metadata between Apache Hudi, Apache Iceberg, and Delta Lake, enabling omni-directional interoperability across data processing systems and query engines. It is not a new table format; it reads existing table metadata and writes equivalent metadata for other formats so the same data files can be read by different engines.

## Use cases
- convert delta lake tables to apache iceberg
- make hudi tables queryable by snowflake or databricks photon
- avoid vendor lock-in to a single lakehouse table format
- sync table metadata between hudi iceberg and delta
- let multiple query engines read the same data lake table
- migrate from onetable to apache xtable

## When to choose
- you need existing data files readable as multiple table formats without rewriting data
- you want a vendor-neutral, community-driven alternative to Delta Lake Uniform
- you need omni-directional conversion among Hudi, Iceberg, and Delta rather than one-way sync
- you plan to extend support to other formats like Apache Paimon via simple interfaces

## When to avoid
- you only use a single table format and never need cross-format access
- you need a new storage format rather than metadata translation
- you require a fully graduated, non-incubating Apache project
- your pipeline depends on format-specific features that do not translate across metadata layers

## Facets
- artifact type: library
- maturity: active
- function: etl, serialization, developer-tools
- domain: big-data, databases, analytics
- platform: jvm, cloud
- tags: lakehouse, table-formats, apache-hudi, apache-iceberg, delta-lake, metadata-conversion, interoperability, data-lake, data-engineering, spark

## Member repositories
- apache/incubator-xtable (main) score 84

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:59.244083+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:19:24.471731+00:00, confidence not recorded.
  - readme: https://github.com/apache/incubator-xtable (fetched 2026-08-28T04:03:59.244083+00:00, sha 231a3c192385)
  - homepage: https://xtable.apache.org/ (fetched 2026-08-29T12:27:09.788535+00:00, sha cdebdb2e873f)
  - site_page: https://xtable.apache.org/docs/setup (fetched 2026-08-29T12:27:09.791067+00:00, sha 25cd1aaf537e)
  - site_page: https://xtable.apache.org/releases/downloads (fetched 2026-08-29T12:27:09.794152+00:00, sha da6ea1d07389)
- Data as of 2026-08-30T08:39:29.467469+00:00.