built for data engineers
Build automation pipelines in a serverless environment to significantly reduce your data processing costs.
NO-CODE EASE OF USE
Create custom data automation pipelines using a no-code drag-and-drop interface or through a developer-friendly Python SDK to weave together human and machine workflows. Develop your ML pipelines or create human-in-the-loop data validation to scale production.
Production pipelines capabilities
Build your own plugins with our Python SDK, including built-in triggers for running and auto-scaling functions. Bootstrap and manage plugins using our interactive CLI, including auto-completion of commands and parameters
Assemble event-driven automation pipelines for running pre and post processing functions, integrate models into annotation workflows, deploy models in production and introduce a human-in-the-loop for data validation
Serverless Data Applications
Low-Code Automation Pipelines
Our highly-scalable distributed system balances data and queries across a cluster of cloud instances or commodity hardware for maximum performance, concurrency and availability.