Airbyte is a scalable open-source data movement platform designed to help data teams efficiently manage their data integration needs. With 400+ Airbyte connectors and 10,000+ custom connectors, Airbyte handles data replication from sources like applications, databases, APIs, and file systems to destinations, including data warehouses and lakes. It offers flexible custom connectors tailored for business and data needs. Airbyte empowers teams with a low-code, no-code, and AI-powered connector builder that automates data pipelines. By supporting both structured and unstructured data, Airbyte helps organizations turn data into actionable insights. The platform offers deployment options—cloud, hybrid, and on-prem—to meet enterprise needs. Data teams manage pipelines through APIs, Terraform, or Python libraries, providing control and flexibility. Founded in 2020, Airbyte is trusted in over 170,000 deployments globally and backed by a community of 20,000+ data engineers.
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We like how easy it is to define a source data, and a destination and just let it go. It's fantastic for simple data loads that don't require any transformations or processing.
Its ability to connect with multiple sources and destinations. Scheduler that comes with Airbyte and the integration with Airflow
I liked the following features the most: 1. Good number of pre-built connectors. It already has the connectors for the sources and destinations we needed for our usecase. 2. Its cost-effective since it has self-hosted option and we were able to deploy within our k8s infrastructure. 3. Supports different sync modes like incremental, full refresh etc and easy configuration through its UI.
It's still a bit immature product, but it's getting there. It can be clunky and a bit unresponsive at times, but it gets the job done well.
Many connectors are not supported by Airbyte directly
Sometimes debugging takes time.