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Starburst Enterprise Context Layer

starburst.io

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Spec score 8.5 #5 of 28 in Query Engine Software

What it is

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.

Spec sheet

What it does
The Enterprise Context Layer packages scattered data into governed, versioned data products containing business definitions, access policy and lineage for analysts, applications and AI.Read 15 Oct 2026 · starburst.io
Deployment
Starburst Enterprise is self-hosted and can run on premises, in private or hybrid clouds, Kubernetes and major cloud marketplaces.Read 15 Oct 2026 · docs.starburst.io
Integrations
The platform connects to more than 50 sources, including Apache Iceberg, Delta Lake, Hive, Amazon S3, Snowflake, and PostgreSQL.Read 30 Sep 2026 · starburst.io
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.Read 30 Sep 2026 · starburst.io
Compliance
Starburst states that it has SOC 2 Type 2 compliance and ISO/IEC 27001 certification.Read 15 Oct 2026 · docs.starburst.io
Support
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.Read 15 Oct 2026 · starburst.io
Headquarters
Boston, Massachusetts, USARead 28 Sep 2026 · starburst.io
Founded
2017Read 28 Sep 2026 · starburst.io
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.Read 30 Sep 2026 · starburst.io
AI limitation
AWS Marketplace reviewers say AI query suggestions and natural-language features still need validation and may not fully understand specialized data models.Read 15 Oct 2026 · aws.amazon.com
API limitation
The Galaxy API does not execute queries; query processing uses Trino SQL through the query editor or client drivers.Read 15 Oct 2026 · docs.starburst.io
BI and client integrations
Supported clients include Tableau, Looker, Metabase, Power BI, MicroStrategy, Querybook, QuickSight, ThoughtSpot, Zing Data, JDBC, ODBC, Trino CLI and Python clients.Read 15 Oct 2026 · docs.starburst.io
Catalog and governance
Data Products are discoverable in a shared catalog, and policies include RBAC, column masking, and row-level security.Read 30 Sep 2026 · starburst.io
CI/CD lineage
CI/CD lineage checks validate upstream freshness automatically before publishing a new version.Read 30 Sep 2026 · starburst.io
Company facts
LinkedIn lists Starburst as privately held, founded in 2017, headquartered in Boston and employing 501–1,000 people.Read 15 Oct 2026 · linkedin.com
Company legal name
Crunchbase lists the legal name as Starburst Data, Inc.Read 15 Oct 2026 · crunchbase.com
Connector breadth
The Enterprise platform advertises more than 50 native connectors, including Iceberg, Delta Lake and Hive.Read 15 Oct 2026 · starburst.io
Connector performance
Starburst connectors provide parallelism, table statistics, dynamic filtering and predicate pushdown to improve query execution.Read 15 Oct 2026 · starburst.io
Consumers
Data Products can be consumed by BI tools, APIs, AI agents, and apps through JDBC or REST.Read 30 Sep 2026 · starburst.io
Core purpose
The Enterprise Context Layer turns scattered data into governed, versioned Data Products with business definitions, access policy, and lineage built in.Read 30 Sep 2026 · starburst.io
Data products
Data products are discoverable catalog assets whose policies travel with them and whose changes are versioned and tested before release.Read 15 Oct 2026 · starburst.io
Data products as code
Definitions and access rules can be written in YAML, committed to git, tested in CI/CD and rolled back.Read 15 Oct 2026 · starburst.io
Documentation
Documentation includes tutorials, SQL and Python guidance, connector references, deployment instructions, security topics, release notes, API references and a help center.Read 15 Oct 2026 · docs.starburst.io
Enterprise API
The SEP REST API manages access control, data products, data maintenance, SQL jobs and Warp Speed, with Basic or Bearer authentication and an OpenAPI specification.Read 15 Oct 2026 · docs.starburst.io
Federated SQL
Starburst Enterprise queries lakes, warehouses, operational databases and on-premises systems through one ANSI SQL interface without copying data or building ETL pipelines.Read 15 Oct 2026 · starburst.io
Funding news
Starburst announced a $100 million Series C in 2021, bringing reported total financing to $164 million and valuation to $1.2 billion.Read 15 Oct 2026 · starburst.io
Galaxy API
Galaxy exposes a REST API over TLS/HTTPS with role-linked tokens that expire after 10 minutes; endpoints cover clusters, users, roles, catalogs, policies, data products, domains, SQL jobs and data quality.Read 15 Oct 2026 · docs.starburst.io
Independent review assessment
The CX Lead describes strong cross-source analytics and SQL usability but warns of resource intensity, onboarding effort and documentation gaps.Read 15 Oct 2026 · thecxlead.com
Licence
SEP is a commercial Trino distribution; Trino itself is open source under Apache License 2.0, while some SEP features require a licence key.Read 15 Oct 2026 · docs.starburst.io
Limit: documentation
Reviewers report that documentation can be too basic, mismatched or short on advanced production examples.Read 15 Oct 2026 · g2.com
Limit: large or complex workloads
Reviews mention occasional slow queries or scalability issues on very large or highly demanding workloads.Read 15 Oct 2026 · g2.com
Limit: learning curve
Independent reviews cite a steep learning curve and setup or configuration complexity, especially for advanced deployments.Read 15 Oct 2026 · g2.com
Limit: pricing predictability
G2 reviewers say consumption pricing can make monthly costs difficult to predict and licensing becomes expensive as clusters scale.Read 15 Oct 2026 · g2.com
Managed option
Starburst Galaxy is a fully managed Trino-based service that handles infrastructure design, provisioning, maintenance and security.Read 15 Oct 2026 · docs.starburst.io
Partner integrations
The partner ecosystem lists AWS, Azure, Google Cloud, Red Hat, Tableau, Immuta, Confluent and dbt among its technology partners.Read 15 Oct 2026 · starburst.io
Praise: federation
G2 reviewers repeatedly praise querying multiple sources through one SQL interface without moving or duplicating data.Read 15 Oct 2026 · g2.com
Praise: performance and governance
Reviewers commonly praise fast query performance, governance controls, integrations and savings from reduced data movement.Read 15 Oct 2026 · g2.com
Rating on AWS Marketplace
4.3 out of 5 from 122 ratings, including 8 AWS reviews and 114 external reviews.Read 15 Oct 2026 · aws.amazon.com
Rating on G2
4.3 out of 5 from 133 reviews.Read 15 Oct 2026 · g2.com
Rating on Gartner Peer Insights
4.6 out of 5 from 71 reviews overall; Starburst Enterprise is 4.6 from 62 lakehouse-platform reviews, 4.5 from 2 data-integration reviews, and Starburst Galaxy is 4.7 from 7 reviews.Read 15 Oct 2026 · gartner.com
Rating on Microsoft Marketplace
4.5 out of 5 from 106 ratings.Read 15 Oct 2026 · marketplace.microsoft.com
Rating on Software Advice
No reviews yet; pricing is listed as available upon request.Read 15 Oct 2026 · softwareadvice.com
Recent company news
On February 20, 2025, Starburst reported record FY25 results, 76% year-over-year Galaxy customer growth and a multi-year eight-figure annual contract.Read 15 Oct 2026 · starburst.io
Release cadence
Starburst says its LTS releases follow a quarterly process with regular security and bug-fix patches reviewed by a core board.Read 15 Oct 2026 · docs.starburst.io
Security controls
Enterprise provides row- and column-level RBAC or ABAC, masking, column encryption, unified auditing and integrations with Ranger, Vault, Okta and LDAP.Read 15 Oct 2026 · starburst.io
Semantic layer
Starburst describes its semantic layer as translating raw schemas into trusted metrics, dimensions and relationships for tools and AI agents.Read 15 Oct 2026 · starburst.io
Target industries
Starburst Enterprise is built for regulated industries including financial services, healthcare, insurance, and government.Read 30 Sep 2026 · starburst.io
Versioning
Data Products are versioned and tested, with breaking changes reviewed before rollout.Read 30 Sep 2026 · starburst.io

Plans and prices

Free Free Free forever Up to 3 clusters · standard cluster execution for ad hoc queries Read 15 Oct 2026 · starburst.io
Pro Priced on request /credit Flexible cluster execution modes · Streaming Ingest · Advanced cluster management Read 30 Sep 2026 · starburst.io
Pro $0.50 a month Starting at $0.50/credit; usage-based Flexible cluster execution modes · streaming ingest · advanced cluster management Read 15 Oct 2026 · starburst.io
Enterprise Priced on request /credit Advanced autoscaling · ABAC and SCIM · AWS PrivateLink · Private Preview access · AIDA token usage billed separately Read 30 Sep 2026 · starburst.io
Enterprise $0.75 a month Starting at $0.75/credit; usage-based Advanced autoscaling · ABAC and SCIM · AWS PrivateLink · private-preview features · AIDA token usage billed separately Read 15 Oct 2026 · starburst.io
Mission-Critical Priced on request /credit Elite support and ticketing · Advanced governance integrations · Lakehouse security and compliance tools · Highest uptime guarantees · AIDA token usage billed separately Read 30 Sep 2026 · starburst.io
Mission-Critical $1 a month Starting at $1.00/credit; usage-based Elite support · advanced governance integrations · lakehouse security/compliance tools · highest uptime guarantees · AIDA token usage billed separately Read 15 Oct 2026 · starburst.io

Every Starburst Enterprise Context Layer plan and price →

Strong points and limits

Strong points

  • Catalogs governed, versioned Data Products
  • Automates upstream freshness checks before publishing
  • Supports JDBC and REST consumers
  • Runs on-premises, in private cloud, or hybrid

Limits

  • Enterprise and Mission-Critical bill AIDA token usage separately
  • Free plan is limited to three clusters
  • Paid rates are listed per contact and billed per credit

Who it suits

The Context Layer is aimed at organizations that need governed, versioned data products for BI tools, APIs, AI agents, or apps. Its stated target industries include financial services, healthcare, insurance, and government.

Starburst Enterprise Context Layer in depth

Read the full write-up

Starburst Enterprise Context Layer is a governed data-product platform for teams that need consistent, controlled access to data across analytics and applications. It is best suited to regulated organizations with complex data estates; its appeal is the breadth of governance and deployment choices, while its credit-based paid plans call for careful budgeting.

Overview

The Context Layer packages datasets with business definitions, access policies, ownership, and lineage as Data Products, which teams can publish in a shared catalog. That structure is more useful than a metrics layer alone when consumers need discoverable, governed data, not just standardized measures.

More than 50 sources are supported, including Apache Iceberg, Delta Lake, Hive, Amazon S3, Snowflake, and PostgreSQL. Products can serve BI tools, APIs, AI agents, and apps through JDBC or REST, giving organizations a common route to data across different types of consumers.

Key features

Governance and controlled change

Role-based controls, column masking, and row-level security support sharing without treating every consumer as fully trusted. Products are versioned and tested, with breaking changes reviewed before rollout. Defining products in YAML, committing them to git, testing before merge, and rolling back when needed makes the process a better fit for teams already governing data changes through code review.

CI/CD lineage checks validate upstream freshness before publishing a new version. This adds a useful safeguard against shipping a product based on stale inputs, although organizations still need to decide how their own release process should use that check.

Semantics, access, and AI

The semantic layer turns raw data into business-ready metrics, dimensions, and relationships for tools and AI agents. Governed metrics, dimensions and joins, row-level security, and a query API make the product relevant to teams seeking both defined meaning and controlled access.

Security integrations include Apache Ranger, HashiCorp Vault, Okta, and LDAP, alongside ABAC, dynamic masking, column-level encryption, and unified audit logging. AIDA adds plain-language querying, an Agentic Control Plane, full-text search over Iceberg tables, and built-in AI tasks. It broadens the platform's scope, but Enterprise and Mission-Critical customers pay separately for AIDA token usage.

Deployment and support

Private cloud, hybrid, and on-premises deployment, plus air-gap readiness, suit organizations that cannot put every workload in a shared public environment. Advertised 24×7 enterprise support is relevant for production deployments where access to help matters beyond ordinary business hours.

Pricing

The model is freemium, with a free plan, paid plans from $0.50, and a 30-day trial. The paid plan rates are given per contact and billed per credit, so teams should understand expected credit consumption before treating the entry rate as a budget estimate.

Free: free, free forever. It allows up to 3 clusters and standard cluster execution mode for ad hoc queries. This is a bounded starting point for evaluation or limited ad hoc use, not a substitute for the flexible execution modes and management capabilities in paid tiers.

Pro: priced on request, billed /credit. It adds flexible cluster execution modes, streaming ingest, and advanced cluster management, making it the step up for teams that need more than ad hoc cluster execution.

Enterprise: priced on request, billed /credit. Advanced autoscaling, ABAC and SCIM, AWS PrivateLink, and Private Preview access suit deployments with stronger scaling and access-control needs. AIDA token usage is billed separately.

Mission-Critical: priced on request, billed /credit. Elite support and ticketing, advanced governance integrations, lakehouse security and compliance tools, and the highest uptime guarantees make this the tier for critical workloads where operational assurance is a priority. AIDA token usage is billed separately.

The step up from free is driven by execution flexibility and management; the higher tiers add autoscaling, identity and governance capabilities, support, and uptime commitments. The separate AIDA charge on the top two plans is a cost to include if analysts or agents will use those features heavily.

Platforms

Starburst Enterprise runs through API and web interfaces and can be self-hosted. Its hybrid deployment model spans private cloud, hybrid, and on-premises environments, including air-gapped deployments, a meaningful advantage for organizations with strict infrastructure or data-residency constraints.

Who it's for

Financial services, healthcare, insurance, and government are named target industries, and the combination of access controls, version review, lineage validation, and deployment flexibility fits their governance concerns. It is also a strong candidate for data teams that need business definitions to travel with datasets into BI, APIs, and AI consumers. Organizations seeking only a standalone semantic model, or unwilling to manage credit-based consumption, should compare narrower alternatives.

Pros and cons

Pro: Data Products combine definitions, ownership, access policy, and lineage, giving consumers a governed unit to discover and reuse.

Pro: Version review, YAML-and-git workflows, rollback, and freshness checks support controlled changes rather than unreviewed publishing.

Pro: Private, hybrid, on-premises, and air-gap-ready deployment accommodates constrained environments.

Con: Paid pricing is credit-based, which makes usage planning important beyond the headline starting rate.

Con: AIDA token usage is extra on Enterprise and Mission-Critical, complicating cost comparisons for AI-heavy teams.

Con: Free is capped at three clusters and standard execution for ad hoc queries, so it does not provide the flexible execution and advanced management of Pro.

Alternatives

dbt Semantic Layer is worth considering when a team wants a freemium semantic-layer option with API and web access; its free Developer plan is limited to one developer, 3,000 successful models a month, and one project, and has no Semantic Layer listed.

Kyvos is a paid option with a free trial and broad platform support including self-hosted, Linux, macOS, and Windows; its cloud marketplace plan is priced at $0.41 a month, billed per core hour for time used.

Sema offers a freemium alternative with API, web, and self-hosted access. Its Sandbox plan caps use at one connector, one user, 100 chat queries per month, and five saved reports, with no scheduled delivery, alerts, or signals.

Cube is another freemium choice for teams that want a semantic-layer platform across API, Linux, self-hosted, and web; its free plan allows five workbooks, 1,000 daily requests, one-day query history, and community support.

Kyligence is a paid alternative with API, Linux, self-hosted, and web platforms and a free trial.

Rill Metrics SQL is a paid option with a free trial and support for API, Linux, macOS, self-hosted, web, and Windows. Its Starter plan is $20 a month per seat, for up to 20 seats and three projects, with embedded analytics previews only.

Strata has a freemium model and API, self-hosted, and web access. Its free tier allows one developer, 25 users, and two data sources per project, with unlimited projects and branches.

Definite is a freemium alternative for API, self-hosted, and web use; its free plan is capped at two users, two connectors, 1 GB storage, five credits per month, and daily sync.

For broader comparisons, browse Semantic Layer Software or Query Engine Software.

Verdict

Choose Starburst Enterprise Context Layer if your organization needs governed, versioned data products across a varied estate and values deployment control, lineage, and business-ready semantics in one platform. Look elsewhere if your main need is a narrow semantic layer or predictable pricing without credit and AIDA token charges.

Verdict

The Context Layer connects data governance, versioning, lineage, and semantic definitions with multiple deployment options. Check the plan-specific limits and separate AIDA token charges when assessing its listed pricing.

Where Specifiction places it

Alternatives to Starburst Enterprise Context LayerAll alternatives →