Hasura is an open-source engine that connects to your databases & microservices and instantly gives you a production-ready GraphQL API.
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Best Starburst Alternatives ranked by AI · updated Aug 2026
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Starburst is a distributed SQL analytics platform based on Trino that queries data across warehouses, lakes, databases, and SaaS systems. It targets data platform and analytics teams that need federated access and centralized governance across multiple environments.
Developer: Starburst
Price: Free open-source Trino; commercial cloud and enterprise plans
🎯 starburst.io
Top 6 Starburst alternatives
Denodo is a data virtualization software that provides agile, high performance data integration, data abstraction, and real-time data services across a wide...
Contact Denodo for pricing
Data Virtuality provides data integration software that enables companies to connect and manage their data from various sources.
Contact for pricing
Presto is an open-source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes...
Dremio is a lakehouse query and semantic layer platform that provides SQL access across data lakes, warehouses, and other sources. It is...
Pros
- Strong SQL performance and query acceleration for lakehouse environments
- Works well with Apache Iceberg and open data lake architectures
- Provides a free community option for evaluation and smaller deployments
Cons
- Less suited than Zetaris to broad application and operational integration workflows
- Best results often require a well-designed lakehouse architecture
- Advanced governance and enterprise features require paid plans
Free community edition; paid cloud and enterprise plans
Orbital is a data integration and query platform for developers and data teams that need to access information across disparate systems. Its...
Pros
- Unifies queries across APIs, databases, and other data sources
- Schema-aware approach reduces repeated integration logic
- Developer-focused platform supports building data-driven applications
Cons
- Smaller ecosystem than Denodo, Dremio, or Trino
- Requires more technical setup than managed data platforms
- Fewer mature visualization and governance features than full data platforms
Free, enterprise pricing
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