Starburst, founded in 2017 by Justin Borgman, Matt Fuller, and Martin Traverso in Boston, Massachusetts, is a cutting-edge data lake analytics platform for AI built on open-source Trino. Designed to unify, govern, and analyze data across cloud, on-premises, and hybrid environments, Starburst empowers enterprises like Comcast, HSBC, and Verizon to access over 50 petabytes of data with 10x faster query performance. With $414 million in funding, Starburst’s AI-driven data platform for enterprises supports 400 million+ AI queries, offering a fully managed cloud solution and self-managed Enterprise edition. It's open data lakehouse architecture eliminates costly migrations, making it a leader in scalable analytics.
Starburst: Premier Data Lake Analytics Platform for AI in 2025
Starburst is a powerful AI-powered data lake analytics platform designed to accelerate data access for AI and analytics. Built on open-source Trino, it unifies data across cloud, on-premises, and hybrid environments, serving 400 million+ AI queries since February 2025. Trusted by enterprises like Verizon and HSBC, Starburst’s scalable data solutions for enterprises deliver 10x faster query performance without costly data migrations, supported by $414 million in funding.
Key Features of Starburst
- Starburst unified data access for AI analytics: Connects to 50+ data sources across clouds and on-premises.
- Starburst Warp Speed indexing for performance: Up to 10x faster queries with caching and indexing.
- Starburst open data lakehouse architecture: Supports Apache Iceberg, Delta Lake, and Hudi.
- Starburst secure data governance for enterprises: Built-in RBAC/ABAC for compliance.
- Starburst Galaxy fully managed cloud platform: Deploy in minutes with no infrastructure overhead.
- Starburst Python support for data scientists: Seamless PySpark migration for analytics.
- Starburst scalable analytics for large datasets: Handles 50+ petabytes with thousands of concurrent users.
Use Cases for Starburst
- Data Engineers: Build pipelines with Starburst unified data access for AI analytics.
- Data Scientists: Run AI queries with Starburst Python support for data scientists.
- Business Analysts: Gain insights with Starburst's scalable analytics for large datasets.
- IT Teams: Deploy secure lakehouses with Starburst secure data governance for enterprises.
- Healthcare Providers: Analyze real-time data with Starburst Warp Speed indexing for performance.
- E-commerce Platforms: Optimize analytics with Starburst open data lakehouse architecture.
Pros of Starburst
- 10x faster queries with Starburst Warp Speed indexing for performance.
- 50+ data connectors with Starburst unified data access for AI analytics.
- Free Galaxy trial with Starburst cost-effective data platform for AI.
- Open architecture with Starburst open data lakehouse architecture.
- Strong governance with Starburst secure data governance for enterprises.
Cons of Starburst
- Complex setups require technical expertise.
- Enterprise pricing lacks transparency.
- Third-party connector security concerns.
- Occasional support delays.
Starburst pricing 2025: Plans, Features, and Subscription Costs Explained
- Free
- $0
- Pro
- $0.50/credit
- Enterprise
- $0.75/credit
- Mission-Critical
- $1.00/credit
Starburst Reviews & Ratings: See What Users and Experts Are Saying
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Starburst is a Starburst data lake analytics platform for AI for unified data access and analytics.
Starburst's cost-effective data platform for AI offers a free Galaxy trial with $500 credits.
Starburst unified data access for AI analytics achieves 95% query accuracy.
Starburst seamless integrations for data analytics support 50+ sources like Snowflake.
Starburst secure data governance for enterprises uses RBAC/ABAC, but connectors need monitoring.
Starburst user eligibility for data professionals includes engineers, analysts, and IT teams.
Starburst Warp Speed indexing for performance boosts query speed by 10x.
In the Starburst vs Databricks comparison for data analytics, Starburst excels in open architecture.
Starburst Python support for data scientists enables PySpark migration.
Starburst Galaxy's fully managed cloud platform simplifies use, but advanced features need expertise.
Starburst Galaxy's fully managed cloud platform is a cloud-based data lakehouse solution.
Starburst scalable analytics for large datasets handles 50+ petabytes.
