Union Cloud

Frictionless Machine Learning to Production

Union Cloud is a managed version of Flyte™. It frees data and ML teams from infrastructure constraints and setup so they can focus on ML production.

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Supercharge your code

Turn your ETL and machine learning code into scalable tasks and workflows.

Move the slider to see the Flyte™ Decorators that identify your code as tasks and workflows.

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Get ready to execute

Union Cloud is an out-of-the-box experience for machine learning engineers and data scientists who need to deliver at scale and often without any help from IT or infrastructure teams.

Use your familiar data and ML tools

Union Cloud provides a foundation to leverage your Pandas and the tools you love: They all work seamlessly in launchable, scalable workflows. Union Cloud is powered by Flyte™ Plugins for platforms like Spark, Ray, DBT, AWS Athena, BigQuery and many more.

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Focus on Data and ML — Not Infrastructure

Union Cloud is designed for data and ML teams who don’t want the overhead of maintaining and managing Flyte™ deployments, setting up Kubernetes infrastructures, and provisioning security and data policies.

Built for Machine Learning and Data Engineers

Manage access to data and the infrastructure that executes tasks on Kubernetes. Union Cloud manages the Flyte™ installation that orchestrates the workflows without special network connections or permissions. This relieves ML teams from managing Flyte™ itself, while the data stays on-premise.

Flyte™ self-managed vs Union Cloud

Union Cloud makes it easy to run Flyte™ without having to invest in a dedicated DevOps team. Union.ai, the team that created Flyte™ operates Union Cloud. You have end-to-end visibility and full ownership of your data.

Cloud Comparison

An open platform for your team

Union Cloud is designed for data and ML teams who don’t want the overhead of maintaining and managing Flyte™ deployments, setting up Kubernetes infrastructures, and provisioning security and data policies.

Data Engineer
Data Engineer

“Union Cloud runs my data pipelines and even connects with Apache Airflow.”

Data Scientist
Data Scientist

“From my research work to effective collaboration on one platform.”

ML Engineer
ML Engineer

“Deploying and monitoring all my workflows around the clock.”

MLOps/DevOps
MLOps/DevOps

“Running our Kubernetes cluster while using Union Cloud to manage our data plane.”

Data, ML, Research and Production

These fine companies among many others create data and ML products with Union Cloud’s Flyte™ engine.