About
What is Airbyte?
Airbyte is an open-source data integration platform designed for building ELT and ETL pipelines, providing a single, governed integration layer for data teams and AI agents. It offers over 600 source and destination connectors, supporting data warehouses like Snowflake, BigQuery, and Databricks. The platform features a Data Replication Engine for analytics and data platforms, utilizing batch and CDC connectors to move data from operational systems. Additionally, its Agent Engine powers AI agents and real-time systems with direct connectors for fetch and write operations, alongside replicated data in a context store for faster discovery. Airbyte emphasizes transparency, infrastructure modernization, and data sovereignty, with flexible deployment options including cloud and self-managed solutions.
Best used for
Ideal for data engineers and data scientists who need to integrate diverse data sources, build scalable ELT/ETL pipelines, and power AI agents with real-time data. Especially valuable for organizations seeking open-source flexibility, extensive connector options, and predictable capacity-based pricing.
Common actions
ELT pipeline orchestrationreal-time database replicationopen-source data integration
Capabilities
Key features
- 600+ data connectors
- ELT/ETL pipelines
- CDC replication
- Agent Engine for AI
- Custom connector builder
- Reverse ETL
- Schema propagation
Target Audience
data scientist
Integrations
snowflakedatabricksbigqueryicebergclickhouseairflowdagsterprefect
Pricing & Plans
Freemium · Paid · Enterprise · Open Source
FAQs
What are the different pricing plans offered by Airbyte?
Airbyte offers several plans: Core (free, self-managed open source), Standard (fully managed, volume-based), Plus (fully managed, annual, capacity-based), Pro (fully managed, capacity-based, advanced features), and Enterprise (custom pricing, dedicated support). There's also a free tier with 5,000 credits/month.
How does Airbyte's capacity-based pricing work?
For Plus and Pro plans, Airbyte uses a capacity model based on Data Workers, which are dedicated compute units. Your cost depends on the number of pipelines run in parallel, offering predictable pricing without unpredictable volume-based overages, unlike traditional data movement solutions.
Can Airbyte be used to power AI agents and real-time systems?
Yes, Airbyte features an 'Agent Engine' specifically designed for powering AI agents and real-time systems. It combines real-time direct connectors for fetch and write operations with replicated data in a context store, enabling faster data discovery and search across various systems.
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