Azure Data Factory
Cloud-based data integration service to create, schedule, and orchestrate ETL/ELT data pipelines at scale
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Data integration platform for ELT pipelines from any source
Move data from APIs, databases, and files to warehouses and lakes with 300+ connectors. Build custom connectors using no-code or low-code tools.
Airbyte is a data integration platform designed to centralize data from diverse sources into warehouses, lakes, and lakehouses. With the largest catalog of 300+ pre-built connectors spanning APIs, databases, and files, it addresses the long tail of data sources that teams need to integrate.
Data engineers can extend Airbyte's capabilities through a no-code Connector Builder or low-code CDK, enabling rapid customization without starting from scratch. The platform supports orchestration with popular workflow tools including Airflow, Prefect, Dagster, and Kestra, fitting seamlessly into existing data engineering workflows.
Teams can choose between self-hosted deployments for full control or managed cloud hosting for operational simplicity. The platform's architecture emphasizes extensibility and community contribution, with a publicly visible roadmap and active community support through Slack, forums, and office hours. Whether consolidating SaaS application data, replicating production databases, or building change data capture pipelines, Airbyte provides the infrastructure to move data reliably at scale.
When teams consider Airbyte, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
SaaS Data Consolidation
Centralize marketing, sales, and support data from multiple APIs into a single warehouse for unified analytics and reporting
Database Replication
Replicate production databases to analytics environments using change data capture without impacting operational performance
Data Lake Ingestion
Ingest raw data from files and APIs into S3 or cloud storage for downstream processing and machine learning workflows
Multi-Cloud Data Movement
Synchronize data across cloud platforms and on-premises systems to support hybrid infrastructure and disaster recovery
Airbyte follows the ELT paradigm, loading raw data into destinations before transformation. It emphasizes connector extensibility and open-source community contribution rather than proprietary, closed ecosystems.
Yes, the no-code Connector Builder allows you to create connectors through a visual interface. For more complex requirements, the low-code CDK provides a Python framework for custom development.
Airbyte natively supports Airflow, Prefect, Dagster, and Kestra. You can also trigger syncs via the Airbyte API for integration with any workflow management system.
Both share the same connector catalog and core architecture. Self-hosted requires infrastructure management, while Airbyte Cloud is fully managed with simplified operations and automatic updates.
Connector maintenance varies by popularity and community contribution. Popular connectors receive regular updates, while niche connectors may require community or custom maintenance.
Project at a glance
ActiveLast synced 4 days ago
