Apache Pinot
Apache Pinot is a real-time distributed OLAP datastore designed to deliver scalable real-time analytics with low latency. It ingests data from batch and streaming sources and provides fast analytical queries for user-facing applications.
Apache Pinot publishes 5 APIs on the APIs.io network, including Cluster API, Queries API, Schemas API, and 2 more. Tagged areas include Analytics, Database, Low Latency, OLAP, and Real-Time.
The Apache Pinot catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.
Apache Pinot’s developer surface includes documentation and 8 more developer resources.
Kin Score
APIs 5
Individual APIs this provider publishes, each with its own machine-readable definition.
Apache Pinot Cluster API
The Cluster API from Apache Pinot — 2 operation(s) for cluster.
Apache Pinot Queries API
The Queries API from Apache Pinot — 1 operation(s) for queries.
Apache Pinot Schemas API
The Schemas API from Apache Pinot — 2 operation(s) for schemas.
Apache Pinot Segments API
The Segments API from Apache Pinot — 1 operation(s) for segments.
Apache Pinot Tables API
The Tables API from Apache Pinot — 2 operation(s) for tables.
Pricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Apache Pinot Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Apache Pinot Finops
FINOPSFeatures 7
Notable capabilities this provider offers.
Real-Time OLAP
Sub-second analytical queries over real-time and historical data
SQL Support
Standard SQL query interface with Pinot-specific extensions
Streaming Ingestion
Real-time data ingestion from Kafka, Kinesis, and Pulsar
Batch Ingestion
Offline data ingestion from HDFS, S3, GCS, and local files
Columnar Storage
Column-oriented storage with bitmap indexing for fast queries
Multi-Tenancy
Tenant isolation for broker and server resources
Star-Tree Index
Pre-aggregated star-tree index for metric rollup queries
Scroll for all 7
Semantic Vocabularies 1
JSON-LD contexts and semantic vocabularies used across these APIs.
Apache Pinot Context
JSON-LDSpectral Rules 2
Spectral governance rulesets for linting and validating these APIs.
Apache Pinot API Rules
SPECTRALApache Pinot API Rules
SPECTRALJSON Schema 12
Standalone JSON Schema definitions for this provider's data models.
ClusterInfo
JSON SCHEMADataSchema
JSON SCHEMAFieldSpec
JSON SCHEMAInstanceList
JSON SCHEMAResultTable
JSON SCHEMASchema
JSON SCHEMASegmentList
JSON SCHEMASqlQueryRequest
JSON SCHEMASqlQueryResponse
JSON SCHEMASuccessResponse
JSON SCHEMATableConfig
JSON SCHEMATableList
JSON SCHEMAScroll for all 12
JSON Structure 12
JSON Structure definitions describing this provider's data shapes.
Apache Pinot Cluster Info Structure
JSON STRUCTUREApache Pinot Data Schema Structure
JSON STRUCTUREApache Pinot Field Spec Structure
JSON STRUCTUREApache Pinot Instance List Structure
JSON STRUCTUREApache Pinot Result Table Structure
JSON STRUCTUREApache Pinot Schema Structure
JSON STRUCTUREApache Pinot Segment List Structure
JSON STRUCTUREApache Pinot Sql Query Request Structure
JSON STRUCTUREApache Pinot Sql Query Response Structure
JSON STRUCTUREApache Pinot Success Response Structure
JSON STRUCTUREApache Pinot Table Config Structure
JSON STRUCTUREApache Pinot Table List Structure
JSON STRUCTUREScroll for all 12
Examples 12
Example request and response payloads for these APIs.
Apache Pinot Schema Example
EXAMPLEScroll for all 12
Security Posture 2
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.
User-Facing Analytics
Power user-facing dashboards like LinkedIn Who Viewed Profile
Real-Time Dashboards
Business intelligence dashboards over streaming data
Anomaly Detection
Real-time anomaly detection over metric time series
A/B Testing
Real-time experiment analysis and statistical significance
Integrations 5
Pre-built integrations with other platforms and tools.
Apache Kafka
Real-time stream ingestion from Kafka topics
Apache Flink
Flink connector for streaming data into Pinot
Apache Superset
Visual analytics and dashboards via SQL
Presto/Trino
Federated query access to Pinot via Presto connector
Grafana
Grafana data source plugin for Pinot metrics
Resources
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture