
Kyvos
Semantic layer for enterprise AI and BI
About Kyvos
Kyvos is a semantic layer that sits on top of cloud data warehouses and data lakes, giving BI tools and AI applications one governed, business-friendly model of enterprise data. It pre-aggregates data with OLAP modeling so queries from Power BI, Tableau, Excel and other tools return at interactive speed on billions of rows, and it supplies governed business context to LLM-based agents to improve answer accuracy. It runs in the customer's own cloud account via the AWS, Azure and Google Cloud marketplaces, as a Kyvos-managed service, or in a customer-controlled environment.
Pros & Cons
Pros
- Fast query response on very large datasets thanks to pre-aggregated OLAP models, with vendor benchmarks showing 70-87x speedups over raw warehouse queries
- Native SQL, MDX and DAX support lets Power BI, Tableau and Excel users keep their existing tools
- Transparent per-core-hour pricing with no minimums on the marketplace and managed options
- No limits on data size or user count, suited to high-concurrency enterprise BI
- Strong user ratings (about 4.8/5 on G2 and Capterra) with frequent praise for responsive support
- Practical migration path off Microsoft SSAS cubes to the cloud
Cons
- Steep learning curve; reviewers cite difficult initial setup and connection work
- Built for large enterprises, so cost and complexity are high for small teams
- Small user community, so answers usually come from Kyvos support rather than forums
- Customer-environment subscription starts at $48K per year
- AI features such as business knowledge graphs and model routing are still listed as coming soon
Key Features
Universal semantic layer
Defines metrics, dimensions and hierarchies once so every BI tool and AI consumer works from the same governed business definitions, avoiding metric drift.
OLAP modeling at scale
Builds multidimensional models over data lakes and warehouses with no stated limits on data size or user count, including SSAS-style advanced modeling.
Multi-dialect query support
Serves SQL, MDX and DAX queries, so Power BI, Tableau, Looker, Strategy (MicroStrategy) and Excel connect natively.
Context for AI
Supplies semantics, entities and relationships as governed context for LLM applications to ground answers and cut token and compute costs.
Business analytics agent (Dialogs)
Conversational agent that answers business questions against the semantic model at enterprise data scale.
AI Space
Governed workspace for assembling the context and tools that a specific AI use case needs.
Browser-based dashboards
Built-in visualization and dashboarding in the browser alongside third-party BI connectivity.
Fine-grained security
Role-based access control with row- and column-level security, plus high availability and disaster recovery.
Cloud platform connectivity
Works over Snowflake, Databricks, BigQuery, Amazon Redshift, Google Cloud and Microsoft Fabric.
Pricing
- Deploys in your own AWS, Azure or Google Cloud account
- Region and availability zone of your choice
- Data stays in your account
- No fixed monthly or minimum charges
- Billed through your cloud bill; counts toward cloud commit
- Dedicated infrastructure managed by Kyvos
- Cloud provider and region of your choice
- Connects to the data lake of your choice
- Includes infrastructure and management
- SOC 2 Type 2 compliant
- Discounts for committed bulk usage
- Deployed in your custom environment (AWS, Azure, Google Cloud, Cloudera)
- Data stays in your infrastructure
- Annual subscription, starting price
- Discounts for committed bulk usage
Best For
Consistent metrics across BI tools
Define KPIs once in the semantic layer so Power BI, Tableau, Excel and Strategy dashboards report identical numbers.
SSAS migration to the cloud
Replace on-premises Microsoft SSAS cubes with cloud OLAP models that keep MDX and DAX compatibility for existing reports.
Grounding enterprise AI agents
Feed governed business context to LLM applications to improve answer accuracy and reduce token spend on data questions.
Interactive analytics on massive data
Give thousands of concurrent users sub-second dashboards over billions of rows in Snowflake, Databricks, BigQuery or Redshift.
Self-service supplier and partner analytics
Expose governed, row-level-secured analytics to large external audiences, such as a pharmacy chain serving 20,000+ suppliers.
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