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 13 more developer resources.

🌐 Visit website 📡 Source on GitHub

41.4/100 developing ▬ flat Agent 4/100 human only self hosted · Apache-2.0 Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessFreemium

1 APIs 8 Features 5 Use Cases

Analytics Apache Database Lakehouse MPP OLAP Open-Source Real-Time SQL

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 41.4/100 · developing

Contract Quality 6.9 / 23

Developer Ergonomics 10.3 / 18

Access Clarity 2.8 / 18

Operational Transparency 4.3 / 12

Contract Governance 1.1 / 11

Discoverability 6.0 / 9

Open Source Surface 10.0 / 10

Agent readiness — 4/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 7 / 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

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Open Source Surface applies to this provider. This product is open source and we read its repository directly, so Open Source Surface carries 10 points of the composite. It is scored from what the repository actually publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the provider rather than inferred from our own catalog pointers. This facet adds; nothing was taken away to make room for it. An open-source project is not excused from the commercial facets, because exemption would strip it of the points it does earn. If we have the wrong repository, or this product is not open source, say so on your provider repo and we will drop the facet rather than have you publish against it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 90 points between them, because the conditional facet above carries the other 10. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 90% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. 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. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

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.

Apache Doris Plans Pricing

3 plans

PLANS

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.

Apache Doris Finops

FINOPS

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.

Apache Doris Routine Load Job Example

13 fields

EXAMPLE

Apache Doris Stream Load Response Example

17 fields

EXAMPLE

Apache Doris Table Schema Example

7 fields

EXAMPLE

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

Portal

Portal

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

ContributionGuide

ContributionGuide

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LlmsText

LlmsText

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Vocabulary

Vocabulary

Build 3

SDKs, sample code, and the tooling you integrate with

CodeOfConduct

CodeOfConduct

GitHubOrganization

GitHubOrganization

GitHubRepository

GitHubRepository

Access & Security 3

Authentication, authorization, and security posture

SecurityPolicy

SecurityPolicy

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

IssueTracker

IssueTracker

Releases

Releases

StackOverflow

StackOverflow

Commercial 1

Pricing, plans, and the legal terms of use

License

License

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

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
deliveryModel:
  model: self-hosted
  license: Apache-2.0
  open_source: true
  commercial: false
  callable_host: false
  label: Self-hosted open source · you run it yourself
  confidence: high
  source:
  - license
  generated: '2026-08-28'
  method: derived
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: Consuming
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
tags_raw:
- 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: '0.23'
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: Website
  url: https://www.apache.org/
- type: IssueTracker
  url: https://github.com/apache/doris/issues
- type: Releases
  url: https://github.com/apache/doris/releases
- type: SecurityPolicy
  url: https://github.com/apache/doris/blob/master/SECURITY.md
- type: CodeOfConduct
  url: https://github.com/apache/doris/blob/master/CODE_OF_CONDUCT.md
- type: ContributionGuide
  url: https://github.com/apache/doris/blob/master/CONTRIBUTING.md
- type: License
  name: Apache-2.0
  url: https://github.com/apache/doris/blob/master/LICENSE
- 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

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