Low-code platform for orchestrating data pipelines with integrated MLOps
Your brand, your use cases
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A unified platform for unlocking analytical data in the real world
- Ingest any data type from any source
- Build automations at scale – and apply AI/ML in-stream, anywhere
- Run geo-distributed big data analytics at the speed of business
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All of your AI/ML needs in one place
Develop models from scratch or bring your own. Deploy, monitor, and automatically update — all in a single platform with integrated data management
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Easy to use
Drag-and-drop pipeline builder with Python integration will make your data scientists feel at home
High performance
Proven reliability
Low CapEx
Cost-effective and easy to deploy
Simplified data management
Low-code graphical pipeline builder
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Design in minutes. Drag and drop built-in data collectors, transformations and ML models
Add custom logic. Use Python code to add transformations, build ML models, and integrate with other solutions
Centrally deploy and manage. Deploy as ultra-lightweight containers on any hardware or virtual machine
Extend with geo-distributed analytical database
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Stop moving data. Our data mesh architecture lets you analyze geographically distributed data sources — on-premise, in the cloud or at the edge
No DB admin required. Designed for relentless performance, availability and security as you scale