Apache Airflow

Also known as
apache-airflow

What is Apache Airflow?

Apache Airflow is an open-source platform for programmatically authoring, scheduling, and monitoring workflows using Python.

Independently observed

Apache Airflow pricing

We don't have Apache Airflow's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.

What Apache Airflow does

The capabilities that matter for data engineering tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Core
Tool role
Orchestrator
Processing paradigm
Batch
Connectivity
Connector count
-
CDC / log-based replication
-
Transformation
In-warehouse transformation (push-down)
-
dbt-native orchestration
-
Deployment
Self-hosted / open-source available
Managed cloud available
-
Governance
Data lineage / asset catalog
Authoring
Python-first authoring
Execution
Incremental / partition-aware runs
-
Quality
Built-in data quality / tests
-
Scale
Horizontal scale (distributed executor)
Independently observed

Platform & deployment

Independently observed
Platforms
  • CLI
  • Web
Deployment
  • Cloud / SaaS
  • Self-hosted

Integrations (50)

Independently observed
  • Airbyte
  • Alibaba
  • Amazon Web Services
  • Anthropic
  • Apache Beam
  • Apache Cassandra
  • Apache Druid
  • Apache Flink
  • Apache Hive
  • Apache Kafka
  • Apache Spark
  • ArangoDB
  • Asana
  • Atlassian Jira
  • ClickHouse
  • Cohere
  • Databricks
  • Datadog
  • dbt Cloud
  • Discord
  • Docker
  • Elasticsearch
  • Exasol
  • Facebook
  • GitHub
  • Google Cloud Platform
  • Hashicorp
  • IBM
  • Influx DB
  • Informatica
  • Jenkins
  • Keycloak
  • Microsoft Azure
  • Microsoft SQL Server
  • MongoDB
  • MySQL
  • Neo4j
  • OpenAI
  • OpenLineage
  • OpenSearch
  • Opsgenie
  • Oracle
  • Pagerduty
  • Papermill
  • PgVector
  • Pinecone
  • PostgreSQL
  • Presto
  • Qdrant
  • Redis

Apache Airflow alternatives

Other data engineering tools we track, ranked by the same independent score.

Independent · unbought · dated

The Vioscale score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Apache Airflow, not the verdict.

Balanced composite 71 / 100
low · 49%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Package Downloads870.1513.2
Integrations520.179.1
Github Activity630.106.6
Capabilities670.096.3
Release Cadence940.065.5
Github Stars880.032.6
Security Posture00.080.0-
Stackoverflow Activity00.070.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Activity

AttributeValueEvidence
Commits last 30d100mediumsource · 2026-08-01 · 65%

Adoption

AttributeValueEvidence
Package downloads weekly4,970,830highsource · 2026-08-01 · 85%
Github stars46,350highsource · 2026-08-01 · 90%

Features

AttributeValueEvidence
Capabilities{"role":"orchestrator","lineage":true,"paradigm":"batch","python_first":true,"self_hosted_oss":true,"distributed_executor":true}mediumsource · 2026-08-05 · 60%

Integrations

AttributeValueEvidence
Count64mediumsource · 2026-08-05 · 60%

Language

AttributeValueEvidence
PrimaryPythonhighsource · 2026-08-01 · 98%

License

AttributeValueEvidence
SpdxApache-2.0highsource · 2026-08-01 · 95%

Pricing

AttributeValueEvidence
Modelopen_sourcemediumsource · 2026-08-05 · 60%
Free tierYesmediumsource · 2026-08-05 · 60%
TransparentYesmediumsource · 2026-08-05 · 60%
Price levelfreemediumsource · 2026-08-05 · 60%

Release

AttributeValueEvidence
Cadence days10mediumsource · 2026-08-01 · 70%