Airbyte vs Apache Airflow
No clear leader: Apache Airflow (69.0) and Airbyte (68.0) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for data engineering tools. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Airbyte
A platform that connects hundreds of data sources and moves data to analytics warehouses or AI applications, with flexible deployment options including cloud, self-hosted, and hybrid models.
Apache Airflow
Apache Airflow is a workflow orchestration platform that enables users to define data pipelines in Python and schedule their execution across distributed workers. It provides a web interface for visualization and monitoring, plus extensive integrations with cloud platforms and services.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Airbyte
Free tier available. Agent pricing from $29/month to $299/month. Data Replication from $10/month to enterprise custom pricing.
- Free (Agents)Free
- Single user
- API and MCP access
- Context Store refreshes daily (hourly for first 14 days)
- Community and AI support
- No overage available
- Individual (Agents)$29/month
- Single user
- API and MCP access
- Context Store with hourly refresh
- Standard and AI support
- Overage AOs available
- Team (Agents)$299/month
- Everything in Individual
- Parallel workflow execution
- Multiple users and workspaces
- Standard and AI support
- Overage AOs available
- Custom (Agents)Contact sales
- Everything in Team
- Custom AO limits
- Custom Context Store refresh frequency
- Dedicated Solutions Architect
- Dedicated support with SLA
- Core (Data Replication)Free
- Self-managed
- Open source
- Always free
- Standard (Data Replication)Starting at $10/month
- Fully managed cloud hosting
- Volume-based pricing
- Quick deployment
- Pro (Data Replication)Contact sales
- Fully managed cloud hosting
- Capacity-based pricing
- Multiple Workspaces
- SSO and RBAC
- Premium Support
- +2 more
- Enterprise Flex (Data Replication)Contact sales
- Sovereign data movement inside your boundary
- On-premises and multi-region options
- Hybrid deployment with Airbyte managed control plane
- All Pro features
- Premium support
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Salesforce
- Zendesk
- GitHub
- Snowflake
- Slack
- OpenAI
Airbyte
- Stripe
- HubSpot
- Gong
- Linear
- ActiveCampaign
- Azure Blob Storage
- BigQuery
- Facebook Marketing
- GitLab
- Google Analytics
- Google Drive
Apache Airflow
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
- Databricks
- dbt Cloud
- Tableau
- PostgreSQL
- MySQL
- MongoDB
- Redis
- Kubernetes
- Docker
- Apache Spark
- Apache Kafka
- Apache Cassandra
- Apache Flink
- Apache Druid
- Elasticsearch
- Datadog
- Jenkins
- Anthropic
- Cohere
- Pinecone
- Weaviate
- +31 more
Airbyte or Apache Airflow: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.