apache/calcite
Apache Calcite observed · 2026-08-28
Health v2 · maintenance only
77/100
- Activity 99
- Release rhythm 35
- Longevity 100
Flags: no_releases
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: n/a
- age_days: 4452
- days_rel: n/a
- days_push: 7
- n_releases_24m: 0
Adoption not part of the score
5175 stars · 2515 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Apache Calcite is a dynamic data management framework for the JVM that supplies the building blocks of a database—an industry-standard SQL parser and validator, a customizable cost-based query optimizer, and logical/physical relational algebra—while deliberately omitting storage primitives. Through pluggable schema adapters and a JDBC driver, it lets applications execute SQL over heterogeneous data sources such as Cassandra, Elasticsearch, MongoDB, Kafka, Druid, and plain JDBC databases.
Use cases
- parse and validate SQL queries in a Java application
- run SQL queries over MongoDB, Elasticsearch, or other non-SQL data stores
- build a custom database or query engine without writing a parser or optimizer from scratch
- federate SQL queries across multiple heterogeneous data sources
- convert SQL statements into relational algebra and back
- add rule-based query optimization and materialized view rewriting to a data system
- expose a JDBC interface over custom schemas or in-memory data
When to choose
- You are building a database, SQL layer, or query engine on the JVM and want proven parsing, planning, and optimization machinery
- You need to present non-SQL data sources as queryable SQL tables with minimal configuration
- You want a highly extensible optimizer with pluggable rules, cost models, and relational operators
- You need data virtualization or SQL federation across diverse backends
When to avoid
- You need a ready-to-run database that actually stores and processes data—Calcite intentionally omits storage and data processing
- Your stack is not JVM-based, since Calcite is a Java library
- You only need simple embedded analytics where a full database would be simpler than embedding a query framework
Facets
framework · maturity stable
parser database compiler middleware databases big-data analytics jvm windows cross-platform sql-parser query-optimizer jdbc-driver relational-algebra data-virtualization query-federation materialized-views pluggable-adapters sql-dialect query-planning data-engineering linux macos
7 sources
- readme: https://github.com/apache/calcite · fetched 2026-08-28 · 6af7c474e197
- homepage: https://calcite.apache.org/ · fetched 2026-08-29 · 31f817b728e2
- site_page: https://calcite.apache.org/docs · fetched 2026-08-29 · 4bc7a9bbb8c1
- site_page: https://calcite.apache.org/docs/reference.html · fetched 2026-08-29 · 87c5a03077d4
- site_page: https://calcite.apache.org/docs/algebra.html · fetched 2026-08-29 · ac57abe2d856
- site_page: https://calcite.apache.org/docs/adapter.html · fetched 2026-08-29 · ad0ec48eaf9b
- site_page: https://calcite.apache.org/docs/history.html · fetched 2026-08-29 · 7dc67d560a62
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| apache/calcite | main | 77 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem