Apache Kylin
Apache Kylin is an open-source distributed analytics engine designed to provide a SQL interface and multi-dimensional analysis (OLAP) on large-scale datasets. It provides sub-second query latency on trillion-record datasets via pre-computed cubes and works on top of Hadoop, Spark, and cloud storage.
Apache Kylin publishes 6 APIs on the APIs.io network, including Authentication API, Jobs API, Models API, and 3 more. Tagged areas include Analytics, Big Data, Cube, OLAP, and Open Source.
The Apache Kylin catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.
Apache Kylin’s developer surface includes authentication, documentation, getting-started guide, and 9 more developer resources.
Kin Score
APIs 7
Individual APIs this provider publishes, each with its own machine-readable definition.
Apache Kylin JDBC Driver
The Kylin JDBC driver provides SQL-over-Kylin access for BI tools and SQL clients, enabling standard JDBC connectivity to Kylin OLAP cubes.
Apache Kylin Authentication API
User authentication
Apache Kylin Jobs API
Build job management
Apache Kylin Models API
Data model management
Apache Kylin Projects API
Project management
Apache Kylin Query API
SQL query execution
Apache Kylin Tables API
Table and datasource management
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Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Apache Kylin Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Apache Kylin Finops
FINOPSFeatures 7
Notable capabilities this provider offers.
Sub-Second OLAP Queries
Pre-computed cubes enable sub-second query response on trillion-record datasets.
SQL Interface
ANSI SQL interface for business analysts using existing SQL skills.
Cube Pre-computation
Build cubes with aggregates pre-calculated for instant query response.
Hadoop and Cloud Integration
Works on top of Hadoop, Spark, and cloud object storage.
JDBC/ODBC Drivers
Standard JDBC and ODBC drivers for BI tool integration.
Segment Management
Incremental cube building with date-range segment management.
Multi-Tenancy
Project-based multi-tenancy for isolating datasets and access.
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Semantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Spectral Rules 2
Spectral governance rulesets for linting and validating these APIs.
Apache Kylin API Rules
SPECTRALApache Kylin API Rules
SPECTRALJSON Schema 8
Standalone JSON Schema definitions for this provider's data models.
AuthResponse
JSON SCHEMAJob
JSON SCHEMAModel
JSON SCHEMAProjectRequest
JSON SCHEMAProject
JSON SCHEMAQueryRequest
JSON SCHEMAQueryResponse
JSON SCHEMATable
JSON SCHEMAScroll for all 8
JSON Structure 8
JSON Structure definitions describing this provider's data shapes.
Rest Api Auth Response Structure
JSON STRUCTURERest Api Job Structure
JSON STRUCTURERest Api Model Structure
JSON STRUCTURERest Api Project Request Structure
JSON STRUCTURERest Api Project Structure
JSON STRUCTURERest Api Query Request Structure
JSON STRUCTURERest Api Query Response Structure
JSON STRUCTURERest Api Table Structure
JSON STRUCTUREScroll for all 8
Examples 8
Example request and response payloads for these APIs.
Rest Api Job Example
EXAMPLERest Api Model Example
EXAMPLERest Api Project Example
EXAMPLERest Api Table Example
EXAMPLEScroll for all 8
Security Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 4
What developers build with this provider.
Data Warehouse Query Acceleration
Accelerate slow Hive or Spark queries with Kylin cube pre-computation.
BI Tool Integration
Connect Tableau, PowerBI, and Superset to Kylin via JDBC for analytics.
Real-Time OLAP
Stream data into Kylin incrementally for near-real-time OLAP analytics.
Large-Scale Reporting
Generate business reports over trillion-record datasets in seconds.
Integrations 7
Pre-built integrations with other platforms and tools.
Apache Hadoop
Reads from HDFS and executes MapReduce cube builds on Hadoop.
Apache Spark
Spark-based cube building for faster and more efficient data processing.
Apache Hive
Hive metastore integration for table schema and metadata.
Apache HBase
HBase storage for pre-computed cube data.
Tableau
Native Tableau connector via Kylin JDBC driver.
Apache Superset
Apache Superset integration via JDBC for self-service analytics.
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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
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Commercial 1
Pricing, plans, and the legal terms of use