Side-by-side record

Kyvos vs. Metabase

Built from each tool’s researched, reviewed record. Figures are checked against public pricing pages at research time — always confirm current pricing with the vendor before buying.

The short version

Kyvos starts at Free per seat, versus Metabase at Free. Kyvos carries the higher aggregate rating (4.8/5 vs 4.4/5). Metabase lists more integrations (20+ vs 15+).

Full comparison

	Kyvosfrom Free	Metabasefrom Free
Audyense Score	84ASStrong	62ASFair
Positioning	Universal semantic layer for sub-second BI and grounded AI on billions of rows	Open-source BI that makes dashboards and self-serve analytics approachable.
Free tier	Yes	Yes
Deployment	Cloud / SaaS, On-premise, Hybrid	Cloud / SaaS, On-premise
Best fit	Mid-market, Enterprise	Startup, SMB, Mid-market, Enterprise
Pricing plans	Kyvos FreeFree Kyvos on Cloud Marketplace$0 Kyvos Managed Service$1 Kyvos On Premise$48,000	Open SourceFree Starter$85 Pro$500 EnterpriseCustom pricing
AI features	YesMCP server for AI agents, LangChain connectivity and semantic grounding to reduce LLM hallucination.	—
Public API	YesFull API support for querying models and programmatic model management, plus an MCP server interface.	—
Mobile app	NoNo dedicated mobile application; consumption is via browser or a connected BI tool's own mobile client.	—
Data governance & lineage	YesRBAC, row and column-level security, column masking, centralized policy control and visual audit logs.	—
Dashboards & visualization	YesBrowser-based dashboards and visualization combining multiple views into a real-time overview.	—
Embedded analytics	PartialAPIs allow embedding analytics in custom applications, but there is no dedicated embedding SDK or white-label product.	Yes
Self-service BI	YesBusiness users explore governed models directly or through Power BI, Tableau and Excel without SQL.	—
Semantic layer / data modeling	YesCore product: one governed model of metrics, dimensions and hierarchies shared across BI and AI.	—
Alerts & notifications	PartialNotifications fire on data model and access-pattern changes; no general metric-threshold alerting engine.	—
Natural language query	YesKyvos Dialogs provides context-aware conversational analytics over the semantic layer.	—
SSO	—	YesSAML/OIDC are commercial features.
Open-source deployment	—	Yes
SQL editor	—	Yes
Scheduled reports and alerts	—	Yes
AI-assisted analytics	—	YesMetabot and AI controls available on paid plans.
No-code query builder	—	Yes
Row-level permissions	—	YesCommercial tiers add row- and column-level permissions.
Integrations verified	15+	20+
Aggregate rating	4.8 · 247 reviews	4.4 · 144 reviews
Integrations	Microsoft Power BITableauMicrosoft ExcelLookerStrategy (MicroStrategy)Snowflake+9 more	PostgreSQLMySQLMongoDBSnowflakeAmazon RedshiftGoogle BigQuery+9 more
Security & compliance	SOC 2 Type ISOC 2 Type IIISO 27001HIPAA	SOC 2 Type II
Pros	Query performance on very large datasets is the standout theme, with reviewers reporting reports that previously took minutes returning in seconds Meaningful reduction in cloud warehouse spend because aggregates absorb query load instead of pushing it down to metered compute Works through existing BI tools via native connectors, so analysts keep using Power BI, Tableau or Excel rather than learning a new interface Strong enterprise security and governance depth: row and column-level security, RBAC, SSO, column masking and visual audit logs	Open-source edition is always free and can be self-hosted. Friendly interface for both SQL users and business stakeholders. Supports internal dashboards, scheduled subscriptions, alerts, and embedded analytics. Broad database coverage and a clear path to AI-assisted querying.
Cons	Steep learning curve; effective use assumes solid grounding in multidimensional data modeling and big data environments MDX expertise is needed for advanced work, which slows down teams without prior OLAP experience Initial setup, cube design and build cycles require significant upfront investment before value is realized The admin and modeling UI is described as less intuitive than expected, and cube-scoped models can make cross-dataset exploration feel siloed	Visualization customization and advanced analytics lag heavyweight BI suites. Large or complex workloads can expose database and query-performance bottlenecks. SSO, audit logs, fine-grained permissions, and some embedding controls are paid-plan features. Self-hosting adds upgrade, availability, and security-operations responsibility.
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