Streamline your Enterprise AI strategy
- Query across lakehouse formats like Apache Iceberg, Apache Hudi, and more with lakehouse federation
- Enterprise-ready connectors to engines like Trino, Apache Spark, Apache Flink, and more for your data lakes
Manage your Data Lake and GenAI Assets
- Leverage our Python client and supported frameworks like Ray, Tensorflow, Pytorch, and more
- Metadata management for unstructured data, relational stores, message queues, and models
Unified Data and AI Governance
- Define and enforce governance across multiple regions and cloud providers (AWS, GCP, Azure)
- Leverage our permission management system and RBAC for your enterprise data
Capabilities
It's more than governance. We unify your data and AI workloads.
Single Control Plane
Easily implement access control across your entire organization for your data lake and GenAl assets with Single-Sign On, Role-Based Access Control, and our push down permission management system.
Data Virtualization
A unified experience for data in remote regions, processed locally with a built-in compliance service and intelligent acceleration powered by caching, indexes and materialized views.
Multi-Cloud Support
Facilitate data analysis and training seamlessly with SQL, Python, and a variety of tools across different data sources, including multi-cloud, while delivering the lowest cost and maximum performance.