Apache Calcite
Apache Calcite is a dynamic data management framework developed by the Apache Software Foundation that provides SQL parsing, query planning and optimization, and data federation capabilities. It serves as the SQL engine and query optimizer for many big data systems including Apache Hive, Druid, Flink, Kafka Streams, and others. Calcite provides a Java API for embedding SQL capabilities into applications, a JDBC adapter for connecting heterogeneous data sources, and an extensible relational algebra framework for building custom query optimizers.
Apache Calcite publishes 3 APIs on the APIs.io network. Tagged areas include Apache, Data Federation, Framework, Open Source, and Query Optimization.
Apache Calcite’s developer surface includes documentation, getting-started guide, support, changelog, and 7 more developer resources.
Kin Score
APIs 3
Individual APIs this provider publishes, each with its own machine-readable definition.
Apache Calcite Java API
The Apache Calcite Java API provides SQL parsing, validation, query planning, and optimization capabilities for embedding in JVM applications. It exposes a relational algebra fr...
Apache Calcite JDBC API
The Apache Calcite JDBC adapter provides a standard JDBC interface over heterogeneous data sources. Applications use it to issue SQL queries across multiple data formats and sto...
Apache Calcite Avatica API
Apache Avatica is a framework for building database drivers derived from Apache Calcite. It provides a JSON/Protobuf-over-HTTP remote protocol for JDBC clients to connect to Cal...
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Apache Calcite Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Apache Calcite Finops
FINOPSFeatures 10
Notable capabilities this provider offers.
SQL Parsing and Validation
Parse and validate SQL queries using an extensible SQL grammar with support for SQL:2003 and beyond.
Query Optimization
Cost-based and rule-based query optimization using a volcano-style optimizer with pluggable optimization rules.
Relational Algebra
Extensible relational algebra framework for representing and transforming query plans as expression trees.
Data Federation
Federate queries across heterogeneous data sources including CSV, JSON, JDBC databases, and Elasticsearch.
Adapter Framework
Pluggable adapter API for connecting new data sources to the Calcite SQL engine.
Materialized Views
Automatic materialized view recognition and query rewriting for query acceleration.
Streaming SQL
SQL extensions for querying streaming data sources with window functions and temporal predicates.
Lattices and Tiles
Summary table recommendation and query rewriting using lattice structures for OLAP workloads.
JDBC Driver
Standard JDBC driver for issuing SQL queries against Calcite-connected data sources.
Avatica Remote Protocol
JSON/Protobuf-over-HTTP remote JDBC protocol for connecting clients to Calcite-based query servers.
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Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Use Cases 5
What developers build with this provider.
Embedding SQL in Applications
Add SQL querying capability to Java applications using the Calcite Java API without a full database.
Building Query Engines
Use Calcite as the SQL parsing and optimization layer in custom query engine implementations.
Data Virtualization
Federate queries across multiple heterogeneous data sources using Calcite adapters.
OLAP Query Optimization
Accelerate analytical queries using materialized view rewriting and lattice-based summary tables.
SQL Dialect Translation
Parse SQL in one dialect and transpile it to another using Calcite's SQL generation framework.
Integrations 7
Pre-built integrations with other platforms and tools.
Apache Flink
Flink uses Calcite for SQL parsing and query optimization in Flink SQL and Table API.
Apache Hive
Hive uses Calcite for cost-based query optimization in HiveQL query planning.
Apache Druid
Druid uses Calcite for SQL query parsing and planning against its time-series data store.
Apache Kafka
ksqlDB and Kafka Streams use Calcite for SQL stream processing query planning.
Apache Beam
Beam SQL uses Calcite for query planning on PCollection-based streaming and batch pipelines.
Elasticsearch
Calcite provides a SQL adapter for querying Elasticsearch indices using standard SQL.
Apache Kylin
Kylin uses Calcite as its SQL engine for OLAP cube query planning and execution.
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Resources
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use