Datastrato.ai: Unified Data & AI Management for Modern Enterprises

Datastrato.ai is a next-generation data and AI platform that seamlessly integrates data, analytics, and AI assets into a single, scalable ecosystem. Designed for organizations navigating complex, multi-cloud environments, it delivers a powerful, flexible metadata management solution through Apache Gravitino™, enabling efficient governance across lakehouse formats like Apache Iceberg and Apache Hudi. With enterprise-grade connectors for Trino, Spark, and Flink, along with support for unstructured data, relational databases, message queues, and AI models, Datastrato.ai empowers teams to manage data assets with precision and performance. Its advanced capabilities include data virtualization with intelligent acceleration via caching, indexes, and materialized views, as well as robust security features such as SSO, RBAC, and push-down permission management. Built with open-source transparency under the Apache 2.0 license and actively incubating at the Apache Software Foundation, Datastrato.ai fosters collaboration through GitHub, Slack, and Discourse. Developers benefit from a Python client and compatibility with leading AI frameworks like Ray, TensorFlow, and PyTorch, making it ideal for data engineers, AI teams, and cloud architects.

Key Features:

• Unified metadata management with Apache Gravitino™
• High-performance, geo-distributed, federated metadata lake
• Lakehouse federation support for Apache Iceberg and Apache Hudi
• Enterprise-ready connectors for Trino, Apache Spark, and Apache Flink
• Comprehensive metadata governance across unstructured data, relational stores, message queues, and AI models
• Multi-cloud support (AWS, GCP, Azure) with unified data and AI governance
• Advanced security with Single Sign-On (SSO), Role-Based Access Control (RBAC), and push-down permission management
• Data virtualization with built-in compliance, caching, indexes, and materialized views for intelligent acceleration
• Python client for seamless integration and development workflows
• Native support for AI frameworks: Ray, TensorFlow, PyTorch
• Unified REST API and Iceberg REST Catalog service for simplified access
• Deployable as a standalone solution or across multiple cloud providers
• Open-source community with active engagement via GitHub, Slack, and Discourse

Pricing: Datastrato.ai operates under a freemium model, offering free access to its open-source core while providing premium features and enterprise support through paid tiers.

Conclusion: Datastrato.ai is a forward-thinking, open-source platform that redefines data and AI asset management with unmatched scalability, governance, and cross-platform flexibility—perfect for modern data-driven organizations and technical teams seeking a unified, future-ready infrastructure.