Quaeris Semantic Layer
Quaeris Semantic Layer: A governed metrics layer with strong security, lineage, and embedding features at a high entry price. Ranked #12 of 28 in Semantic Layer Software by our editors (8.2/10); pricing: Paid; best for teams requiring certified metrics and auditability.
At a glance
- Editor score8.2 / 10
- PricingPaid
- Best forTeams requiring certified metrics and auditability
- Free planNo
- Paid from$1,000/mo
- Governed metricsYes
- Facts checked20 Sep 2026
Where it wins
- Certified, versioned metrics with column-level warehouse lineage
- Query-time row-level security, column masking, and prompt-level audit trails
- REST Query API, MCP tools, and multi-tenant embedded analytics
Where it doesn't
- Starts at $1,000 per month with no free plan
- Team supports one warehouse connection
- Advanced deployment and compliance controls require Enterprise
Our verdict on Quaeris Semantic Layer
Quaeris Semantic Layer is a warehouse-native semantic layer for data and analytics teams that need governed business metrics across queries, agents, APIs, and embedded analytics. Teams can define, certify, version, and reuse metrics while applying dimensions, joins, query-time row-level security, and column masking by role. Natural-language to SQL supports conversational access, while REST Query API and MCP tools extend the semantic layer to applications and workflows. Its web, API, and self-hosted deployment options suit organizations with varied delivery requirements.
Pricing separates the core semantic layer from advanced analytical and deployment capabilities. The Team plan is $1,000 per month with annual or monthly billing and includes a Smart Semantic Layer, natural-language to SQL, one warehouse connection, query-time role-based access controls, a 90-day prompt-level audit log, and community support and documentation. Professional is $2,500 per month with annual or monthly billing and adds Answer Engine, Decision Engine, autonomous multi-step agentic workflows, Data and Document Agents, predictive and proactive analysis, and embedded analytics. Enterprise adds unlimited warehouse connections, multi-tenant and embedded OEM deployment, GDPR data-processing controls, advanced role and attribute-based access controls, SSO/SAML 2.0/SCIM provisioning, and custom data residency.
Governance and ecosystem fit are the strongest reasons to consider Quaeris. It connects with Snowflake, Google BigQuery, Databricks, Amazon Redshift, and Azure Synapse, plus SharePoint and Google Drive. Auto-learned semantic definitions, lineage to warehouse tables, certified metrics, and audit trails support teams that need consistent answers and traceability. Enterprise also addresses organizations building private or multi-tenant analytics experiences. The $1,000 monthly starting point makes it more suitable for teams with formal governance needs than for lightweight analytics projects. Organizations seeking a lower-cost entry point or only basic reporting should look elsewhere.
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Quaeris Semantic Layer pricing
All 3 Quaeris Semantic Layer plans and prices →
Quaeris Semantic Layer fact sheet
| Free plan | No |
|---|---|
| Paid from | $1,000/mo |
| Governed metrics | Yes |
| Dimensions and joins | Yes |
| Row-level security | Yes |
| Certified models | Yes |
| Query API | Yes |
| Deployment model | Hybrid |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | GDPR, SSO/SAML |
| Support | Community, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 7 integrations: Snowflake, Google BigQuery, Databricks, Amazon Redshift, Azure Synapse, SharePoint … See all → |
| Pricing | Paid (source) |
| Website | quaeris.ai |
| Facts checked | 20 Sep 2026 |
Quaeris Semantic Layer integrations
Quaeris Semantic Layer lists 7 integrations on its own site.
- Snowflake
- Google BigQuery
- Databricks
- Amazon Redshift
- Azure Synapse
- SharePoint
- Google Drive
See all Quaeris Semantic Layer integrations →
Alternatives to Quaeris Semantic Layer
- CubeA governed semantic layer for teams building internal and embedded analytics.9.4
- AtScaleA strong fit for enterprise teams standardizing governed metrics across BI and AI.9.3
- GoodDataA strong fit for teams building governed, embedded analytics across multiple data sources.9.1
See all Quaeris Semantic Layer alternatives →
Also Ranked In
Quaeris Semantic Layer is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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