Starburst
Big data analytics software
Big data processing and distribution systems
Data warehouse solutions
Database software
Big data software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
Take the quiz to check if Starburst and its alternatives fit your requirements.
Pay-as-you-go
Free TrialFree version
Small
Medium
Large
-
What is Starburst
Starburst is a distributed SQL query engine and data access platform built around Trino for querying data across multiple sources without moving it into a single database. It is used by data engineering and analytics teams to run interactive SQL on data lakes and external systems, and to support federated analytics across cloud and on-prem environments. The product emphasizes query federation, open table formats, and governance controls for access to disparate data sources.
Federated SQL across sources
Starburst queries many data sources through connectors, enabling a single SQL layer across data lakes, object storage, and external databases. This supports use cases where data remains in place and teams need cross-system joins and unified access. It can reduce the need to build and maintain multiple ingestion pipelines solely for analytics consolidation.
Trino-based open architecture
Starburst is based on Trino, an open-source distributed SQL engine, which helps organizations avoid dependence on a proprietary query language. It supports common SQL tooling and integrates with BI and data science environments that speak JDBC/ODBC. The architecture is designed for scale-out query execution across a cluster.
Governance and access controls
Starburst adds enterprise features around authentication, authorization, and policy-based access to data sources accessed through the query layer. It supports integration with common identity providers and metadata/governance components used in enterprise data stacks. This helps centralize control when multiple teams query shared data across systems.
Not a full warehouse
Starburst primarily provides query federation and distributed SQL execution rather than a complete data warehouse service. Workloads that require tightly integrated storage, managed ingestion, and native ELT orchestration may still need additional platforms. Organizations often pair it with separate storage layers and data management tools.
Performance depends on sources
Query speed and concurrency can vary based on the underlying systems being queried, network latency, and connector capabilities. Cross-source joins can be expensive when large data movement occurs at query time. Achieving consistent performance typically requires careful data layout, partitioning, and caching strategies in the underlying storage.
Operational tuning and cost
Running a distributed query cluster introduces operational work such as capacity planning, resource management, and query tuning. Costs can increase with high concurrency or inefficient queries because compute scales with workload. Teams may need specialized expertise to manage connectors, security configuration, and performance troubleshooting.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Free | $0 (Free forever) | Create and run up to 3 clusters; access to standard cluster execution mode for ad hoc queries. Free tier remains after trial; clusters exclusive to paid plans are disabled when downgraded. |
| Pro | Starting at $0.50 per credit | Flexible cluster execution modes; Streaming Ingest; Advanced cluster management; optimized for workflows and real-time data access. Pay-as-you-go compute via credits. |
| Enterprise | Starting at $0.75 per credit | Advanced autoscaling features; Fine-grained access controls (ABAC, SCIM); AWS PrivateLink for data sources; Early access to features (Private Preview); eligible for annual-commitment discounts (contact sales). |
| Mission-Critical | Starting at $1.00 per credit | Elite support and ticketing; Advanced governance integrations; Lakehouse security and compliance tools; Highest uptime guarantees; for high-stakes production workloads (contact sales). |
Seller details
Starburst Data, Inc.
Boston, MA, USA
2017
Private
https://www.starburst.io/
https://x.com/starburstdata
https://www.linkedin.com/company/starburstdata/
