e6 Query Engine vs Starburst Enterprise Context Layer
e6 Query Engine
e6data.com
Starburst Enterprise Context Layer
starburst.ioSide by side
| Figure | e6 Query Engine | Starburst Enterprise Context Layer |
|---|---|---|
| Price from | — | $0.50/mo |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 7 |
| Spec score · Query Engine Software | 7.4 (#16) | 8.5 (#5) |
| Deployment | It can run serverless or inside the customer's Kubernetes cluster in a VPC; the page also lists on-premises, hybrid, air-gapped, and sovereign environments. | Starburst Enterprise is self-hosted and can run on premises, in private or hybrid clouds, Kubernetes and major cloud marketplaces. |
| Founded | 2021 | 2017 |
| Headquarters | San Francisco, California, USA | Boston, Massachusetts, USA |
| Support | The documentation directs customers to their e6data CSM or support engineer for setup-specific questions. | Enterprise support tiers range from five portal tickets monthly to unlimited tickets and dedicated experts; Sev-1 response targets range from one hour to 30 minutes. |
Plans
e6 Query Engine
- Pay for ComputePriced on request
- Outcome-Based PricingPriced on request
Starburst Enterprise Context Layer
- FreeFree
- ProPriced on request
- Pro$0.50 a month
- EnterprisePriced on request
- Enterprise$0.75 a month
- Mission-CriticalPriced on request
- Mission-Critical$1 a month
In their own words
e6 Query Engine
e6 Query Engine has no write-up on Specifiction yet; its figures are above.
Starburst Enterprise Context Layer
Starburst Enterprise Context Layer turns scattered data into governed, versioned Data Products. Each product combines a dataset with business definitions, ownership, access policies, and lineage, and appears in a shared catalog. Controls include role-based access, column masking, and row-level security. Teams can define products in YAML, commit them to git, test changes before merging, and roll back; breaking changes are reviewed before rollout. Automated CI/CD lineage checks verify upstream freshness before a new version is published. A semantic layer turns raw data into business-ready metrics, dimensions, and relationships for BI tools and AI agents. Products can be consumed through JDBC or REST, and the platform connects to more than 50 sources, including Apache Iceberg, Delta Lake, Hive, Amazon S3, Snowflake, and PostgreSQL. It runs in private cloud, hybrid, or on-premises environments and is air-gap ready. The free plan is free. Pro costs what you agree with the maker, billed /credit; Enterprise costs what you agree with the maker, billed /credit; Mission-Critical costs what you agree with the maker, billed /credit.