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Apache DolphinScheduler
Apache DolphinScheduler
Apache DolphinScheduler is a modern distributed and extensible data orchestration platform governed by the Apache Software Foundation. It provides a DAG-based visual workflow designer, multi-master/multi-worker architecture for horizontal scaling, and a comprehensive REST API for programmatic control. It supports dozens of task types (Shell, Spark, Flink, SQL, Python, HTTP, etc.), multi-cloud deployments, multi-tenancy, backfill, and a Python SDK (PyDolphinScheduler).
Apache DolphinScheduler publishes 1 API on the APIs.io network. Tagged areas include Apache, DAG, Data Pipeline, Open Source, and Orchestration.
The Apache DolphinScheduler catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.
Apache DolphinScheduler’s developer surface includes developer portal, documentation, getting-started guide, and 7 more developer resources.
1 APIs
8 Features
5 Use Cases
Apache DAG Data Pipeline Open Source Orchestration Python Scheduling Workflow
On this page
Kin Score
APIs 1
Pricing Plans 1
Rate Limits 1
FinOps 1
Features 8
Vocabularies 1
Spectral Rules 1
JSON Schema 4
JSON Structure 4
Examples 4
Security Posture 2
Use Cases 5
Integrations 7
Resources 10
apis.yml
37 Operational Transparency
Composite quality — 42.3/100 · developing
Contract Quality
8.5 / 25
Developer Ergonomics
7.0 / 20
Commercial Clarity
7.9 / 20
Operational Transparency
4.8 / 13
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
Individual APIs this provider publishes, each with its own machine-readable definition.
Published pricing tiers and plan structures.
Documented rate limits and quota policies.
Cost, billing, and metering signals for API financial operations.
Notable capabilities this provider offers.
Scroll for all 8
JSON-LD contexts and semantic vocabularies used across these APIs.
Spectral governance rulesets for linting and validating these APIs.
Standalone JSON Schema definitions for this provider's data models.
JSON Structure definitions describing this provider's data shapes.
Example request and response payloads for these APIs.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
What developers build with this provider.
Pre-built integrations with other platforms and tools.
Scroll for all 7
Get Started 2
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
Company 1
The organization behind the API
Source (apis.yml)
aid: apache-dolphinscheduler
name: Apache DolphinScheduler
description: Apache DolphinScheduler is a modern distributed and extensible data orchestration platform governed by the Apache
Software Foundation. It provides a DAG-based visual workflow designer, multi-master/multi-worker architecture for horizontal
scaling, and a comprehensive REST API for programmatic control. It supports dozens of task types (Shell, Spark, Flink, SQL,
Python, HTTP, etc.), multi-cloud deployments, multi-tenancy, backfill, and a Python SDK (PyDolphinScheduler).
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-dolphinscheduler.png
tags:
- Apache
- DAG
- Data Pipeline
- Open Source
- Orchestration
- Python
- Scheduling
- Workflow
created: '2026-03-16'
modified: '2026-04-19'
url: https://raw.githubusercontent.com/api-evangelist/apache-dolphinscheduler/refs/heads/main/apis.yml
specificationVersion: '0.19'
apis:
- aid: apache-dolphinscheduler:apache-dolphinscheduler-rest-api
name: Apache DolphinScheduler REST API
description: The DolphinScheduler REST API enables programmatic management of projects, workflow definitions (DAGs), workflow
instances, task types, schedules, resources, data sources, alerts, tenants, and users. Authentication is via API token.
A Swagger UI is available at /dolphinscheduler/swagger-ui/index.html.
humanURL: https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/guide/open-api.html
tags:
- Alerts
- DAG
- Data Sources
- Projects
- REST
- Resources
- Scheduling
- Tasks
- Tenants
- Workflow
properties:
- type: Documentation
url: https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/guide/open-api.html
- type: GettingStarted
url: https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/start/quick-start.html
- type: GitHubRepository
url: https://github.com/apache/dolphinscheduler
- type: SDKs
url: https://pypi.org/project/apache-airflow-providers-apache-dolphinscheduler/
title: Python SDK (PyDolphinScheduler)
- type: Tools
url: https://hub.docker.com/r/apache/dolphinscheduler-standalone-server
title: Docker Image
- type: Tools
url: https://github.com/apache/dolphinscheduler-operator
title: Kubernetes Operator
- type: JSONSchema
url: https://raw.githubusercontent.com/api-evangelist/apache-dolphinscheduler/refs/heads/main/json-schema/apache-dolphinscheduler-schedule-schema.json
title: Schedule
- type: JSONSchema
url: https://raw.githubusercontent.com/api-evangelist/apache-dolphinscheduler/refs/heads/main/json-schema/apache-dolphinscheduler-task-definition-schema.json
title: Task Definition
- type: JSONSchema
url: https://raw.githubusercontent.com/api-evangelist/apache-dolphinscheduler/refs/heads/main/json-schema/apache-dolphinscheduler-workflow-definition-schema.json
title: Workflow Definition
- type: JSONSchema
url: https://raw.githubusercontent.com/api-evangelist/apache-dolphinscheduler/refs/heads/main/json-schema/apache-dolphinscheduler-workflow-instance-schema.json
title: Workflow Instance
- type: JSONStructure
url: https://raw.githubusercontent.com/api-evangelist/apache-dolphinscheduler/refs/heads/main/json-structure/apache-dolphinscheduler-schedule-structure.json
- type: JSONStructure
url: https://raw.githubusercontent.com/api-evangelist/apache-dolphinscheduler/refs/heads/main/json-structure/apache-dolphinscheduler-task-definition-structure.json
- type: JSONStructure
url: https://raw.githubusercontent.com/api-evangelist/apache-dolphinscheduler/refs/heads/main/json-structure/apache-dolphinscheduler-workflow-definition-structure.json
- type: JSONStructure
url: https://raw.githubusercontent.com/api-evangelist/apache-dolphinscheduler/refs/heads/main/json-structure/apache-dolphinscheduler-workflow-instance-structure.json
- type: JSONLD
url: https://raw.githubusercontent.com/api-evangelist/apache-dolphinscheduler/refs/heads/main/json-ld/apache-dolphinscheduler-context.jsonld
- type: Examples
url: https://raw.githubusercontent.com/api-evangelist/apache-dolphinscheduler/refs/heads/main/examples/apache-dolphinscheduler-schedule-example.json
- type: Examples
url: https://raw.githubusercontent.com/api-evangelist/apache-dolphinscheduler/refs/heads/main/examples/apache-dolphinscheduler-task-definition-example.json
- type: Examples
url: https://raw.githubusercontent.com/api-evangelist/apache-dolphinscheduler/refs/heads/main/examples/apache-dolphinscheduler-workflow-definition-example.json
- type: Examples
url: https://raw.githubusercontent.com/api-evangelist/apache-dolphinscheduler/refs/heads/main/examples/apache-dolphinscheduler-workflow-instance-example.json
maintainers:
- FN: Kin Lane
email: info@apievangelist.com
common:
- type: VulnerabilityDisclosure
url: security/apache-dolphinscheduler-vulnerability-disclosure.yml
- type: DomainSecurity
url: security/apache-dolphinscheduler-domain-security.yml
- type: LinkedIn
url: https://www.linkedin.com/company/apache-dolphinscheduler
- type: Portal
url: https://dolphinscheduler.apache.org/
- type: Documentation
url: https://dolphinscheduler.apache.org/en-us/docs/latest/
- type: GettingStarted
url: https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/start/quick-start.html
- type: GitHubOrganization
url: https://github.com/apache
- type: GitHubRepository
url: https://github.com/apache/dolphinscheduler
- type: SDKs
url: https://github.com/apache/dolphinscheduler-sdk-python
title: PyDolphinScheduler Python SDK
- type: Features
data:
- name: DAG Visual Workflow Designer
description: Web-based drag-and-drop interface for building directed acyclic graph (DAG) workflows with real-time execution
visualization.
- name: REST Open API
description: Comprehensive REST API for all platform operations including workflow management, scheduling, resource management,
and administration.
- name: Multi-Master/Worker Architecture
description: Decentralized architecture with horizontal scaling support, capable of processing tens of millions of tasks
per day.
- name: Rich Task Types
description: Built-in task types including Shell, Spark, Flink, SQL, Python, HTTP, DataX, Seatunnel, Jupyter, and custom
task plugins.
- name: Multi-Tenancy
description: Supports multiple tenants with isolated resource quotas, permissions, and workflow namespaces.
- name: Workflow Versioning
description: Version control for workflow definitions and instances, enabling rollback and auditing of workflow changes.
- name: Data Source Management
description: Unified data source management supporting MySQL, PostgreSQL, Hive, Trino, Spark, ClickHouse, and many other
databases.
- name: Python SDK
description: PyDolphinScheduler allows defining and managing workflows programmatically in Python with code-first workflow
authoring.
- type: UseCases
data:
- name: Data Pipeline Orchestration
description: Orchestrate complex ETL/ELT data pipelines with dependencies, retries, and monitoring across distributed
systems.
- name: Machine Learning Workflows
description: Schedule and manage ML model training, evaluation, and deployment pipelines with task dependencies.
- name: Multi-Cloud Data Workflows
description: Orchestrate workflows spanning multiple cloud providers and data centers with unified scheduling.
- name: SQL and Analytics Scheduling
description: Schedule recurring SQL queries, reports, and analytics jobs against multiple data sources.
- name: DevOps and CI/CD Pipelines
description: Automate deployment workflows, data quality checks, and operational tasks with DolphinScheduler DAGs.
- type: Integrations
data:
- name: Apache Spark
description: Native Spark task type for submitting Spark batch and streaming jobs from DolphinScheduler workflows.
- name: Apache Flink
description: Native Flink task type for submitting Flink stream processing jobs.
- name: Apache Hive
description: Hive data source and task type for SQL-on-Hadoop workloads.
- name: Kubernetes
description: Kubernetes deployment mode and K8s task type for container-native workflow execution.
- name: Docker
description: Official Docker images and Docker Compose configuration for rapid deployment.
- name: DataX / SeaTunnel
description: Native task types for DataX and SeaTunnel data integration frameworks.
- name: Apache Airflow
description: An Airflow provider package allows triggering DolphinScheduler workflows from Airflow DAGs.
- type: Vocabulary
url: https://raw.githubusercontent.com/api-evangelist/apache-dolphinscheduler/refs/heads/main/vocabulary/apache-dolphinscheduler-vocabulary.yaml