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Industries
Data & Analytics
Enterprise Software
Cybersecurity
Company Size
201-500
Company Stage
Series C
Total Funding
$272.1M
Headquarters
Cincinnati, Ohio
Founded
2018
Astronomer.io provides a data orchestration platform that utilizes Apache Airflow to simplify the deployment of data pipelines. Its main product, Astro, helps businesses manage and monitor their data flows, allowing them to focus on delivering essential data pipelines. The platform supports data unification across various clouds and offers over 1500 integrations, making it suitable for data and machine learning teams in industries like finance and e-commerce. Astronomer.io distinguishes itself from competitors by offering enterprise-grade security, tools for monitoring pipeline health, and the ability to upgrade Airflow without downtime. The company's goal is to enhance compute efficiency and reduce delays in task scheduling, ultimately providing a strong return on investment for clients.
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Total Funding
$272.1M
Above
Industry Average
Funded Over
5 Rounds
Industry standards
Remote Work Options
Company Equity
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
To support these new use-cases and to provide a starting point for Airflow users, Astronomer has worked with the Airflow Community to create Ask Astro-as a public reference implementation of RAG with Airflow for conversational AI.
Are you ready to bring more awareness to your brand? Consider becoming a sponsor for The AI Impact Tour. Learn more about the opportunities here. Getting data to and from different systems is often the domain of data orchestration. It is among the most widely used tools in the open-source Apache Airflow technology, originally created by Airbnb.Today Astronomer, the lead commercial sponsor behind the Apache Airflow project is out with its latest Astro platform update, providing enterprise support, security and management enhancements. While Airflow got its start helping with the orchestration of data pipelines for data analytics and business intelligence, the technology is now increasingly being used in support of artificial intelligence (AI) and machine learning (ML) workloads.“Airflow is very good at a couple of things, one is just basically writing and running data pipelines,” Julian LaNeve, CTO at Astronomer told VentureBeat. “Airflow lets you define pipelines as code, so you can do anything that the code will let you do which is essentially boundless.” Why Airflow is critical for modern data orchestrationLaNeve explained that Airflow has become popular in recent years as it enables organizations to define, build and deploy data pipelines more easily
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Industries
Data & Analytics
Enterprise Software
Cybersecurity
Company Size
201-500
Company Stage
Series C
Total Funding
$272.1M
Headquarters
Cincinnati, Ohio
Founded
2018
Find jobs on Simplify and start your career today