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Key Features
Unified data access across cloud, on-prem, and hybrid environmentsConversational queries and AI search capabilitiesBuilt-in data governance, lineage, and security (RBAC, ABAC)Enhanced Trino ANSI SQL engine for internet-scale workloadsSmart indexing and caching technologies (Warp Speed) for accelerated queriesNative support for Apache Iceberg, Delta Lake, Apache Hudi, and Apache HiveMultiple deployment options: fully managed cloud (Galaxy) and self-managed (Enterprise)50+ connectors to access all data sources
Starburst is a data lakehouse platform built with Trino, designed to empower teams to discover, trust, and act on data with built-in governance and context. It unifies access to data across cloud, on-premise, or hybrid environments without requiring data movement, providing governed access for both human teams and AI agents. The platform facilitates conversational queries, AI search, and context-rich responses, enabling instant insights and actions within workflows.
Starburst aims to accelerate the safe deployment of AI by integrating governance, lineage, and security into every answer, action, and workflow. It offers two main deployment models: Starburst Galaxy, a fully managed cloud data platform, and Starburst Enterprise, a self-managed solution for on-premises and hybrid environments. The platform is built to deliver faster query performance, significant cost savings compared to traditional data warehouses and other lakehouses, and supports a wide range of data sources and open data formats like Apache Iceberg, Delta Lake, and Apache Hudi. It's ideal for organizations looking to modernize their data architecture, enhance analytics capabilities, and build AI-ready data foundations.
How does Starburst support AI initiatives beyond traditional dashboards?
Starburst facilitates conversational queries, AI search, and context-rich responses. This allows for insights and actions to occur instantly across various workflows and teams, moving beyond static dashboards to power more dynamic AI applications.
What deployment options are available for Starburst, and how do they differ?
Starburst offers three main deployment options: Starburst Galaxy, a fully managed cloud platform; Starburst Enterprise, for self-managed on-premises and hybrid environments; and Dell Data Analytics Engine, which provides modern on-premises storage and SQL engine capabilities powered by Starburst.
How does Starburst compare to traditional cloud data warehouses in terms of performance and cost?
Starburst offers 6.3 times faster SQL queries and 12.7 times cost savings compared to cloud data warehouses. It also supports 10 times more data sources and provides more deployment models, including on-premises, hybrid, and air-gapped environments.
What open data lake formats does Starburst natively support?
Starburst provides native support for fully open data lake formats such as Apache Iceberg, Delta Lake, Apache Hudi, and Apache Hive. This ensures flexibility and avoids vendor lock-in for data lake architectures.
What security measures are in place for Starburst Galaxy?
Starburst Galaxy is designed with strong security defaults to protect data. It meets stringent requirements through robust operational and security controls, ensuring data lake analytics are performed on a secure platform.
Can Starburst integrate with existing data sources across different environments?
Yes, Starburst unifies access to over 50 data sources across cloud, on-premise, or hybrid environments without requiring data movement. This allows agents and teams to get governed access to all relevant data.