
Trino
Fast distributed SQL query engine for big data analytics.

The open lakehouse data platform for analytics, apps, and AI, unifying data, context, and governance.

Starburst is a data platform designed for agents and AI, enabling teams to discover, trust, and act on data with built-in governance and context. It unifies access to various systems (cloud, on-premise, hybrid) without moving data. It supports conversational queries, AI search, and provides context-rich responses to drive insights and actions across workflows and teams. The platform ensures accelerated and safe AI deployment through governance, lineage, and security features. Starburst offers a fully managed data platform, Starburst Galaxy, and a self-managed option, Starburst Enterprise. It supports integrations with Apache Iceberg, Delta Lake, Apache Hudi, and Apache Hive. It is designed to provide faster SQL queries, cost savings, and support for more data sources compared to traditional data warehouses and data lakes.
Starburst is a data platform designed for agents and AI, enabling teams to discover, trust, and act on data with built-in governance and context.
Explore all tools that specialize in query acceleration. This domain focus ensures Starburst delivers optimized results for this specific requirement.
Smart indexing and caching technologies to accelerate queries.
Role-Based Access Control and Attribute-Based Access Control for streamlined data governance.
Fully managed cloud data platform for apps & AI, from data ingestion to data sharing and AI agents.
SQL engine built with enhanced Trino, ensuring compatibility and performance.
Allows connecting to data sources across different cloud regions.
Dynamically scales compute resources based on workload demands.
1. Connect to data sources (cloud, on-premise, or hybrid).
2. Configure access controls using built-in RBAC and ABAC.
3. Define data governance policies.
4. Run SQL queries using the ANSI SQL engine with enhanced Trino.
5. Deploy AI models and agents, leveraging unified data and governance.
6. Monitor query performance and optimize using indexing and caching technologies.
7. Integrate with CI/CD pipelines for automated deployments.
8. Set up data lineage tracking for auditing and compliance.
9. Establish alerts and notifications for data quality issues.
10. Train teams on conversational queries and AI search functionalities.
All Set
Ready to go
Verified feedback from other users.
"Customers praise Starburst for its performance, scalability, and unified data access capabilities, while some mention the complexity of initial setup."
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Fast distributed SQL query engine for big data analytics.

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