Broad connector ecosystem
Connect to a catalog of over 700 connectors for APIs, databases, files, and supported destinations.
Airbyte
Freemium
Connector-based data replication from APIs, databases, and files to analytics and AI systems.
What is Airbyte?
Airbyte is a data movement platform for building pipelines from APIs, databases, and files to warehouses, lakes, and other destinations used for analytics and AI. Its connector ecosystem supports extraction and loading without building each integration from scratch. Teams configure the data to replicate, the destination, and the sync schedule.
Airbyte is available as a managed cloud service and as self-hosted Airbyte Core. Larger deployments can use enterprise governance and in-boundary or hybrid deployment options. PyAirbyte is a complementary Python library for working with Airbyte connectors and prototyping data flows; it is one way to use the ecosystem rather than the whole platform.
What can Airbyte do?
Configurable replication
Choose streams and fields, sync schedules, write modes, and schema-change handling. Supported database connectors can use change data capture.
Custom connector development
Use Connector Builder or the open-source Connector Development Kit to add integrations for sources outside the prebuilt catalog.
Cloud and self-hosted options
Run managed cloud pipelines or deploy Airbyte Core yourself. Enterprise Flex adds in-boundary and hybrid deployment.
Code and orchestration access
Manage workflows with the Airbyte API, Terraform provider, and integrations with Airflow, Dagster, and Prefect. PyAirbyte supports Python connector and cache workflows.
Team and governance controls
Paid tiers add capabilities such as SSO, multiple workspaces, RBAC, row filtering, and field hashing, with availability depending on the plan.
Use Cases
“Centralize analytics data”
Replicate operational data into a warehouse or lake for reporting and dashboards.
“Keep application data synchronized”
Schedule recurring ingestion and use supported CDC connectors for database changes.
“Prepare data for AI workflows”
Move structured and unstructured source data into systems used by machine-learning or LLM applications.
“Extend a data platform”
Build a missing connector and incorporate syncs into existing orchestration or infrastructure workflows.
Frequently Asked Questions
Can I self-host Airbyte?
Yes. Airbyte Core is the open-source self-hosted offering. You operate its infrastructure; managed cloud plans handle hosting for you.
How much do cloud plans cost?
Standard uses volume-based billing. Plus starts at US$189 per month with 40 credits, and extra credits cost US$5 each. Pro and Enterprise Flex use custom capacity-based pricing. A free cloud trial is available.
How do the paid tiers differ?
Plus adds SSO, 15-minute syncs, and two workspaces. Pro adds capacity pricing and controls such as RBAC and custom mappings. Enterprise Flex adds in-boundary and hybrid deployment. Actual sync support also depends on the connector.
Does PyAirbyte replace the platform?
No. It complements Airbyte with Python access to connectors and SQL caches. It can prototype data flows and work with existing Airbyte Cloud or Open Source jobs.
Quick Facts
- Product
- Data replication and ELT platform
- Users
- Data engineers and analytics or AI infrastructure teams
- Connector catalog
- 700+ connectors
- Deployment
- Managed cloud, self-hosted Core, and enterprise hybrid options
- Official site
- https://airbyte.com
Airbyte Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 78
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