Starburst Enterprise Context Layer

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Score6.8

Rank#2 of 28

PriceFree

Free planYes

Free trialYes

Runs onAPI, Self-hosted, Web

Summary

Starburst Enterprise Context Layer turns scattered data into governed, versioned Data Products that bundle datasets with business definitions, ownership, access policies, and lineage. Products are discoverable in a shared catalog, with controls such as role-based access, column masking, and row-level security. Teams can define Data Products in YAML, commit them to git, test changes before merging, and roll back when needed; breaking changes are reviewed before rollout. Automated lineage checks verify upstream freshness before publishing a new version. Its semantic layer translates raw data into metrics, dimensions, and relationships for BI tools and AI agents. Consumers can access Data Products 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. Starburst lists a free plan and a 30-day trial. Paid plans start at 0.50 USD per contact, billed /credit; Enterprise and Mission-Critical plans list additional governance, security, or support features.

Who it is for

Starburst Enterprise Context Layer suits teams that need governed, versioned data products for BI tools, APIs, AI agents, or apps. It is aimed at regulated industries including financial services, healthcare, insurance, and government.

What is good

Data Products include definitions, ownership, policies, and lineage.
Teams can define products in YAML and manage them through git.
Automated checks verify upstream freshness before publishing.
Connects to more than 50 data sources.
Supports private cloud, hybrid, and on-premises deployment.

What to know first

AIDA token usage is billed separately on Enterprise and Mission-Critical.
Paid plans are billed per credit.
Breaking changes require review before rollout.

Verdict

Starburst Enterprise Context Layer combines data-product governance, versioning, lineage checks, and a semantic layer for downstream tools and agents. Its deployment options and security controls are relevant to regulated settings, while paid-plan charges depend on credit use.

Starburst Enterprise Context Layer plans and pricing

All plans

Free Free Free forever Up to 3 clusters · Standard cluster execution mode for ad hoc queries starburst.io · 30 Sept 2026

Pro $0.50 /credit Flexible cluster execution modes · Streaming Ingest · Advanced cluster management starburst.io · 30 Sept 2026

Enterprise $0.75 /credit Advanced autoscaling · ABAC and SCIM · AWS PrivateLink · Private Preview access · AIDA token usage billed separately starburst.io · 30 Sept 2026

Mission-Critical $1 /credit Elite support and ticketing · Advanced governance integrations · Lakehouse security and compliance tools · Highest uptime guarantees · AIDA token usage billed separately starburst.io · 30 Sept 2026

Compared on semantic layer software

Free plan: Yesstarburst.io

Facts

Core purpose: The Enterprise Context Layer turns scattered data into governed, versioned Data Products with business definitions, access policy, and lineage built in.starburst.io · 30 Sept 2026
Data products: A Data Product bundles a governed dataset with business definitions, access policies, ownership, and lineage.starburst.io · 30 Sept 2026
Catalog and governance: Data Products are discoverable in a shared catalog, and policies include RBAC, column masking, and row-level security.starburst.io · 30 Sept 2026
Versioning: Data Products are versioned and tested, with breaking changes reviewed before rollout.starburst.io · 30 Sept 2026
Data Products as code: Data Products can be defined in YAML, committed to git, tested before merge, and rolled back when needed.starburst.io · 30 Sept 2026
CI/CD lineage: CI/CD lineage checks validate upstream freshness automatically before publishing a new version.starburst.io · 30 Sept 2026
Semantic layer: The semantic layer translates raw data into business-ready metrics, dimensions, and relationships for tools and AI agents.starburst.io · 30 Sept 2026
Consumers: Data Products can be consumed by BI tools, APIs, AI agents, and apps through JDBC or REST.starburst.io · 30 Sept 2026
Integrations: The platform connects to more than 50 sources, including Apache Iceberg, Delta Lake, Hive, Amazon S3, Snowflake, and PostgreSQL.starburst.io · 30 Sept 2026
Deployment: Starburst Enterprise runs in private cloud, hybrid, or on-premises environments and is air-gap ready.starburst.io · 30 Sept 2026
Security: Enterprise security includes column- and row-level RBAC and ABAC, Apache Ranger, HashiCorp Vault, Okta, LDAP, dynamic masking, column-level encryption, and unified audit logging.starburst.io · 30 Sept 2026
AI assistant: AIDA lets analysts query in plain language and includes an Agentic Control Plane, full-text search over Iceberg tables, and built-in AI tasks.starburst.io · 30 Sept 2026
Target industries: Starburst Enterprise is built for regulated industries including financial services, healthcare, insurance, and government.starburst.io · 30 Sept 2026
Support: Starburst Enterprise advertises 24×7 enterprise support.starburst.io · 30 Sept 2026