Apache Airflow
Platform created by the community to programmatically author, schedule and monitor workflows.
Apache Airflow® has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow™ is ready to scale to infinity. Apache Airflow® pipelines are defined in Python, allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically. Easily define your own operators and extend libraries to fit the level of abstraction that suits your environment. Apache Airflow® pipelines are lean and explicit. Parametrization is built into its core using the powerful Jinja templating engine. No more command-line or XML black-magic! Use standard Python features to create your workflows, including date time formats for scheduling and loops to dynamically generate tasks. This allows you to maintain full flexibility when building your workflows. Monitor, schedule and manage your workflows via a robust and modern web application. No need to learn old, cron-like interfaces. You always have full insight into the status and logs of completed and ongoing tasks. Apache Airflow® provides many plug-and-play operators that are ready to execute your tasks on Google Cloud Platform, Amazon Web Services, Microsoft Azure and many other third-party services. This makes Airflow easy to apply to current infrastructure and extend to next-gen technologies. Anyone with Python knowledge can deploy a workflow. Apache Airflow® does not limit the scope of your pipelines; you can use it to build ML models, transfer data, manage your infrastructure, and more. Wherever you want to share your improvement you can do this by opening a PR. It’s simple as that, no barriers, no prolonged procedures. Airflow has many active users who willingly share their experiences. Have any questions? Check out our buzzing slack. Today we re launching the Apache Airflow Registry — a searchable catalog of every official Airflow provider and its modules, live at … The interactive report is hosted by Astronomer. The Apache Airflow community thanks Astronomer for running this survey, for sponsoring it … We are thrilled to announce the first major release of airflowctl 0.1.0, the new secure, API-driven command-line interface (CLI) for Apache … Apache Airflow Core, which includes webserver, scheduler, CLI and other components that are needed for minimal Airflow installation. Read the documentation Apache Airflow CTL (airflowctl) is a command-line interface (CLI) for Apache Airflow that interacts exclusively with the Airflow REST API. It provides a secure, auditable, and consistent way to manage Airflow deployments — without direct access to the metadata database. Read the documentation The Task SDK provides python-native interfaces for defining DAGs, executing tasks in isolated subprocesses and interacting with Airflow resources (e.g., Connections, Variables, XComs, Metrics, Logs, and OpenLineage events) at runtime. The goal of task-sdk is to decouple DAG authoring from Airflow internals (Scheduler, API Server, etc.), provid
Airbyte
Explore Airbyte, your go-to data integration platform and ELT tool. Seamlessly integrate, transform, and load data with our powerful, user-friendly so
Agent Engine Public Beta is now live! Airbyte provides the data infrastructure layer for ELT and AI agents, built on the same open-source foundation. Use batch and CDC replication for analytics, or direct connectors and context store to power agent workflows. Immediate ROI and productivity gains for your data teams. "With our legacy framework, if one of the pipelines fails for one client, it will stop everything for the rest of our clients. But with Airbyte, things are run in parallel because of the platform’s distributed nature, which means that we can process multiple clients at the same time without impacting performance." Raman Singh, Tech Lead at Symend "The real ROI is in our ability to iterate quickly, especially at our increasing scale. At the end of the day, you want a tool like that to just work. We can forget about it and know that it's configured and it's connecting and it's working. That hands-free capability is a big appeal for the platform.” Sean Carver, Director of Data at Petvisor "Unlike Fivetran's credit-based system that created budget uncertainty, Airbyte's pricing model allows Kuda to forecast expenses accurately and avoid surprise bills." Mondor La Grange, Head of BI and Data Engineering "What's different from Stitch Data or Informatica is the way that we can configure Airbyte connections and Airbyte entities through code. That's a huge plus to us as data engineers, because we are used to checking code and being able to manage changes from Github." Amy Zhao, Senior Manager of Data Engineering at Peloton "Airbyte allows us to stay flexible while scaling from hundred-million to billion-dollar enterprise clients." Franziska Ibscher, Product Manager at Drivepoint Data pipeline jobs synced in the last 24 hours The world's leading enterprises choose Airbyte to ensure data sovereignty and safeguard operations with enterprise-grade security-backed by dedicated support and SLAs they can trust. Cloud deployment with PrivateLink and multiple data region optionality provides flexibility for global businesses. Single Sign-On (SSO), SCIM provisioning, fine-grained RBAC, audit logs, and enterprise encryption standards. SOC 2 Type II certified, GDPR and HIPAA support, with tools to help you meet internal and external regulatory requirements. Optimized for high-throughput, low-latency pipelines that handle millions of records reliably at enterprise scale. 24/7 support, named customer success managers, and proactive monitoring to keep pipelines healthy. 99.9% availability backed by contractual SLAs and priority response times for mission-critical workloads. As the open source standard for the industry, Airbyte features an unparalleled developer community and resources for all users to achieve success. With over 25,000 users, our community is always ready to answer questions and offer tips to new users. Access our developer resources, such as user guides, blogs, videos and documentation. Explore our schedule of events
Apache Airflow
Airbyte
Apache Airflow
Airbyte
Pricing found: $10 / month, $49 /month, $149 /month, $0.01 /call, $49/month
Only in Apache Airflow (4)
Only in Airbyte (10)
Apache Airflow
Airbyte