Full-Time
Data orchestration platform for pipeline management
$260k - $300k/yr
Senior, Expert
San Francisco, CA, USA
Astronomer.io offers a data orchestration platform that uses Apache Airflow to simplify the deployment of data pipelines. Its main product, Astro, allows businesses to manage and monitor their data flows, ensuring applications run with 100% uptime and enabling data unification across various clouds and teams. What makes Astronomer unique is its ability to upgrade Airflow without downtime and create local development environments for testing and deployment. The company's goal is to improve compute efficiency and reduce the time needed to develop and deploy new data pipelines, providing a strong return on investment for clients.
Company Size
201-500
Company Stage
Series C
Total Funding
$280.8M
Headquarters
Cincinnati, Ohio
Founded
2018
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Page joins Astronomer from Two Sigma, where he served as Managing Director and Head of Data Engineering.
IBM collaborates with Astronomer to strengthen Apache Airflow's robustness within enterprises.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Astronomer, the company behind Apache Airflow orchestration software, launched Astro Observe today, marking its expansion from a single-product company into the competitive data operations platform market. The move comes as enterprises struggle to operationalize their AI initiatives and maintain reliable data pipelines at scale.The new platform aims to help organizations monitor and troubleshoot their data workflows more effectively by combining orchestration and observability capabilities in a single solution. This consolidation could significantly reduce the complexity that many companies face when managing their data infrastructure.“Previously, our customers would have to come to us for orchestration data pipelines, and they’d have to go figure out a different data observability and Airflow observability vendor,” said Julian LaNeve, CTO of Astronomer, in an interview with VentureBeat. “We’re trying to make that a lot easier for our customers and give them everything in one platform.”AI-powered predictive analytics aims to prevent pipeline failuresA key differentiator of Astro Observe is its ability to predict potential pipeline failures before they impact business operations
This partnership allows organizations to effectively manage and scale their ML workflows by integrating Astronomer's workflow management capabilities with Anyscale's distributed computing power.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Getting data from where it is created to where it can be used effectively for data analytics and AI isn’t always a straight line. It’s the job of data orchestration technology like the open-source Apache Airflow project to help enable a data pipeline that gets data where it needs to be.Today the Apache Airflow project is set to release its 2.10 update, marking the project’s first major update since the Airflow 2.9 release back in April. Airflow 2.10 introduces hybrid execution, allowing organizations to optimize resource allocation across diverse workloads, from simple SQL queries to compute-intensive machine learning (ML) tasks. Enhanced lineage capabilities provide better visibility into data flows, crucial for governance and compliance