Apache Doris website screenshot

Apache Doris

Apache Doris is a high-performance, real-time analytical database based on MPP (Massively Parallel Processing) architecture, governed by the Apache Software Foundation. It provides MySQL-protocol-compatible SQL queries, sub-second query latency on large-scale data, columnar storage with vectorized execution, real-time upsert via Stream Load and Routine Load APIs, and federated querying over data lakes (Hive, Iceberg, Hudi). It supports both shared-nothing and storage/compute-separated deployment modes.

Apache Doris publishes 1 API on the APIs.io network. Tagged areas include Analytics, Apache, Database, Lakehouse, and MPP.

The Apache Doris catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Apache Doris’ developer surface includes developer portal, documentation, getting-started guide, engineering blog, Stack Overflow tag, and 6 more developer resources.

40.2/100 thin ▼ -5.5 Agent 3/100 human only Full breakdown ↓
scored 2026-07-28 · rubric v0.6
AccessFreemium
1 APIs 8 Features 5 Use Cases
AnalyticsApacheDatabaseLakehouseMPPOLAPOpen SourceReal-TimeSQL

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-28 · rubric v0.6
Composite quality — 40.2/100 · thin
Contract Quality 7.3 / 25
Developer Ergonomics 6.1 / 20
Commercial Clarity 7.9 / 20
Operational Transparency 4.8 / 13
Governance 8.3 / 12
Discoverability 5.9 / 10
Agent readiness — 3/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/apache-doris: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Apache Doris

Apache Doris provides a MySQL-compatible protocol for SQL queries, a REST API for cluster management and monitoring, Stream Load HTTP API for real-time bulk data ingestion, Rout...

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Apache Doris Rate Limits

5 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Features 8

Notable capabilities this provider offers.

MPP Columnar Analytics

Massively parallel processing with columnar storage and vectorized execution engine for high-concurrency sub-second analytical queries.

Stream Load API

HTTP-based bulk data ingestion API that loads CSV, JSON, and Parquet data in real time with transactional guarantees.

MySQL Protocol Compatibility

Fully MySQL-wire-protocol compatible, enabling use of standard MySQL clients, drivers, and BI tools without modification.

Federated Data Lakehouse Queries

Query external data in Hive, Iceberg, Hudi, and Delta Lake tables without data movement using Multi-Catalog.

Real-Time Upsert (Unique Key Model)

Primary key based upsert model supports real-time CDC data ingestion with micro-second latency row-level updates.

Routine Load from Kafka

Continuous data ingestion from Apache Kafka topics with automatic offset management and exactly-once semantics.

Tiered Storage

Hot/warm/cold data tiering with object storage (S3, HDFS) for cost-optimized storage at scale.

MCP Server

Model Context Protocol (MCP) server enabling AI agents to query Doris databases through natural language.

Scroll for all 8

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Apache Doris Context

4 classes · 38 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Apache Doris API Rules

5 rules · 3 warnings 2 info

SPECTRAL

JSON Schema 3

Standalone JSON Schema definitions for this provider's data models.

RoutineLoadJob

13 properties

JSON SCHEMA

StreamLoadResponse

17 properties

JSON SCHEMA

TableSchema

7 properties

JSON SCHEMA

JSON Structure 3

JSON Structure definitions describing this provider's data shapes.

Apache Doris Routine Load Job Structure

13 properties

JSON STRUCTURE

Apache Doris Stream Load Response Structure

17 properties

JSON STRUCTURE

Apache Doris Table Schema Structure

7 properties

JSON STRUCTURE

Examples 3

Example request and response payloads for these APIs.

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Apache Doris Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Apache Doris Vulnerability Disclosure

security.txt · contact published

SECURITY

Use Cases 5

What developers build with this provider.

Real-Time Dashboards and Reporting

Power business intelligence dashboards with sub-second query latency on live data updated continuously.

Log and Event Analytics

Ingest and analyze high-volume log, metric, and event data in real time using inverted indexes and full-text search.

Customer Data Platform

Consolidate customer behavioral and transactional data from multiple sources for real-time segmentation and analytics.

Data Lakehouse Analytics

Federate queries across data lake (Hive, Iceberg) and operational databases without ETL movement.

Ad-Hoc Analytics

Enable data analysts to run complex exploratory SQL queries on petabyte-scale datasets with fast response times.

Integrations 6

Pre-built integrations with other platforms and tools.

Apache Flink

Official Flink Connector for reading from and writing to Doris in real-time Flink streaming pipelines.

Apache Spark

Official Spark Connector for batch ETL and analytics workflows using Apache Spark.

Apache Kafka

Kafka Connector and Routine Load for continuous real-time data ingestion from Kafka topics.

Apache Iceberg / Hudi / Hive

Multi-Catalog feature enables federated queries over Iceberg, Hudi, and Hive Metastore data lakes.

Kubernetes

Official Kubernetes Operator for automated Doris cluster lifecycle management.

OpenTelemetry

OpenTelemetry demo integration for observability and tracing in Doris deployments.

Resources

Get Started 2

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 1

Pagination, idempotency, versioning, errors, and events

Build 2

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Company 1

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: apache-doris
name: Apache Doris
description: Apache Doris is a high-performance, real-time analytical database based on MPP (Massively Parallel Processing)
  architecture, governed by the Apache Software Foundation. It provides MySQL-protocol-compatible SQL queries, sub-second
  query latency on large-scale data, columnar storage with vectorized execution, real-time upsert via Stream Load and Routine
  Load APIs, and federated querying over data lakes (Hive, Iceberg, Hudi). It supports both shared-nothing and storage/compute-separated
  deployment modes.
type: Index
accessModel:
  pricing: freemium
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Freemium
  confidence: medium
  source:
  - plans
  generated: '2026-07-22'
  method: derived
position: Consumer
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/apache-doris.png
tags:
- Analytics
- Apache
- Database
- Lakehouse
- MPP
- OLAP
- Open Source
- Real-Time
- SQL
created: '2026-03-16'
modified: '2026-04-19'
url: https://raw.githubusercontent.com/api-evangelist/apache-doris/refs/heads/main/apis.yml
specificationVersion: '0.19'
apis:
- aid: apache-doris:apache-doris
  name: Apache Doris
  description: Apache Doris provides a MySQL-compatible protocol for SQL queries, a REST API for cluster management and monitoring,
    Stream Load HTTP API for real-time bulk data ingestion, Routine Load for continuous Kafka ingestion, and connectors for
    Flink, Spark, and Kafka. An MCP server is also available for AI-assisted analytics.
  humanURL: https://doris.apache.org/docs/dev/summary/basic-summary
  tags:
  - Analytics
  - Connectors
  - Data Ingestion
  - Flink
  - Kafka
  - MySQL
  - REST
  - SQL
  - Spark
  - Stream Load
  properties:
  - type: Documentation
    url: https://doris.apache.org/docs/dev/summary/basic-summary
  - type: GettingStarted
    url: https://doris.apache.org/docs/dev/install/
  - type: APIReference
    url: https://doris.apache.org/docs/dev/admin-manual/http-actions/
  - type: GitHubRepository
    url: https://github.com/apache/doris
  - type: Tools
    url: https://github.com/apache/doris-mcp-server
    title: MCP Server
  - type: SDKs
    url: https://github.com/apache/doris-flink-connector
    title: Flink Connector
  - type: SDKs
    url: https://github.com/apache/doris-spark-connector
    title: Spark Connector
  - type: SDKs
    url: https://github.com/apache/doris-kafka-connector
    title: Kafka Connector
  - type: Tools
    url: https://github.com/apache/doris-operator
    title: Kubernetes Operator
  - type: Tools
    url: https://github.com/apache/doris-streamloader
    title: Stream Loader CLI
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/apache-doris/refs/heads/main/json-schema/apache-doris-routine-load-job-schema.json
    title: Routine Load Job
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/apache-doris/refs/heads/main/json-schema/apache-doris-stream-load-response-schema.json
    title: Stream Load Response
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/apache-doris/refs/heads/main/json-schema/apache-doris-table-schema-schema.json
    title: Table Schema
  - type: JSONStructure
    url: https://raw.githubusercontent.com/api-evangelist/apache-doris/refs/heads/main/json-structure/apache-doris-routine-load-job-structure.json
  - type: JSONStructure
    url: https://raw.githubusercontent.com/api-evangelist/apache-doris/refs/heads/main/json-structure/apache-doris-stream-load-response-structure.json
  - type: JSONStructure
    url: https://raw.githubusercontent.com/api-evangelist/apache-doris/refs/heads/main/json-structure/apache-doris-table-schema-structure.json
  - type: JSONLD
    url: https://raw.githubusercontent.com/api-evangelist/apache-doris/refs/heads/main/json-ld/apache-doris-context.jsonld
  - type: Examples
    url: https://raw.githubusercontent.com/api-evangelist/apache-doris/refs/heads/main/examples/apache-doris-routine-load-job-example.json
  - type: Examples
    url: https://raw.githubusercontent.com/api-evangelist/apache-doris/refs/heads/main/examples/apache-doris-stream-load-response-example.json
  - type: Examples
    url: https://raw.githubusercontent.com/api-evangelist/apache-doris/refs/heads/main/examples/apache-doris-table-schema-example.json
maintainers:
- FN: Kin Lane
  email: info@apievangelist.com
common:
- type: VulnerabilityDisclosure
  url: security/apache-doris-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/apache-doris-domain-security.yml
- type: Portal
  url: https://doris.apache.org/
- type: Documentation
  url: https://doris.apache.org/docs/dev/
- type: GettingStarted
  url: https://doris.apache.org/docs/dev/install/
- type: Blog
  url: https://doris.apache.org/blog/
- type: GitHubOrganization
  url: https://github.com/apache
- type: GitHubRepository
  url: https://github.com/apache/doris
- type: StackOverflow
  url: https://stackoverflow.com/questions/tagged/apache-doris
- type: Features
  data:
  - name: MPP Columnar Analytics
    description: Massively parallel processing with columnar storage and vectorized execution engine for high-concurrency
      sub-second analytical queries.
  - name: Stream Load API
    description: HTTP-based bulk data ingestion API that loads CSV, JSON, and Parquet data in real time with transactional
      guarantees.
  - name: MySQL Protocol Compatibility
    description: Fully MySQL-wire-protocol compatible, enabling use of standard MySQL clients, drivers, and BI tools without
      modification.
  - name: Federated Data Lakehouse Queries
    description: Query external data in Hive, Iceberg, Hudi, and Delta Lake tables without data movement using Multi-Catalog.
  - name: Real-Time Upsert (Unique Key Model)
    description: Primary key based upsert model supports real-time CDC data ingestion with micro-second latency row-level
      updates.
  - name: Routine Load from Kafka
    description: Continuous data ingestion from Apache Kafka topics with automatic offset management and exactly-once semantics.
  - name: Tiered Storage
    description: Hot/warm/cold data tiering with object storage (S3, HDFS) for cost-optimized storage at scale.
  - name: MCP Server
    description: Model Context Protocol (MCP) server enabling AI agents to query Doris databases through natural language.
- type: UseCases
  data:
  - name: Real-Time Dashboards and Reporting
    description: Power business intelligence dashboards with sub-second query latency on live data updated continuously.
  - name: Log and Event Analytics
    description: Ingest and analyze high-volume log, metric, and event data in real time using inverted indexes and full-text
      search.
  - name: Customer Data Platform
    description: Consolidate customer behavioral and transactional data from multiple sources for real-time segmentation and
      analytics.
  - name: Data Lakehouse Analytics
    description: Federate queries across data lake (Hive, Iceberg) and operational databases without ETL movement.
  - name: Ad-Hoc Analytics
    description: Enable data analysts to run complex exploratory SQL queries on petabyte-scale datasets with fast response
      times.
- type: Integrations
  data:
  - name: Apache Flink
    description: Official Flink Connector for reading from and writing to Doris in real-time Flink streaming pipelines.
  - name: Apache Spark
    description: Official Spark Connector for batch ETL and analytics workflows using Apache Spark.
  - name: Apache Kafka
    description: Kafka Connector and Routine Load for continuous real-time data ingestion from Kafka topics.
  - name: Apache Iceberg / Hudi / Hive
    description: Multi-Catalog feature enables federated queries over Iceberg, Hudi, and Hive Metastore data lakes.
  - name: Kubernetes
    description: Official Kubernetes Operator for automated Doris cluster lifecycle management.
  - name: OpenTelemetry
    description: OpenTelemetry demo integration for observability and tracing in Doris deployments.
- type: Vocabulary
  url: https://raw.githubusercontent.com/api-evangelist/apache-doris/refs/heads/main/vocabulary/apache-doris-vocabulary.yaml
- type: LlmsText
  url: https://doris.apache.org/llms.txt