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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. observed · 2026-08-28

github.com/apache/incubator-xtable · homepage · Java · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

84/100

  • Activity 99
  • Release rhythm 67
  • Longevity 81
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 326.5
  • age_days: 1139
  • days_rel: 9
  • days_push: 7
  • n_releases_24m: 3

Full methodology

Adoption not part of the score

1205 stars · 209 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

library · maturity active

etl serialization developer-tools big-data databases analytics jvm cloud lakehouse table-formats apache-hudi apache-iceberg delta-lake metadata-conversion interoperability data-lake data-engineering spark

4 sources

Member repositories

RepositoryRoleHealth v2
apache/incubator-xtablemain84

For agents

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Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem