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Side-by-side record

Holistics vs. Kyvos

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 Holistics at $960.

Full comparison

Holisticsfrom $960 month
Kyvosfrom Free
Audyense Score28AS*Low84ASStrong
PositioningSelf-service analytics with a governed semantic layerUniversal semantic layer for sub-second BI and grounded AI on billions of rows
Free tierNoYes
DeploymentCloud / SaaSCloud / SaaS, On-premise, Hybrid
Best fitSMB, Mid-market, EnterpriseMid-market, Enterprise
Pricing plans
  • Entry$960
  • Standard$1,200
  • Security Compliance Suite$2,400
  • Kyvos FreeFree
  • Kyvos on Cloud Marketplace$0
  • Kyvos Managed Service$1
  • Kyvos On Premise$48,000
Semantic modelingYesCurates reusable data models and definitions.—
Self-service analyticsYesLets business users answer questions without SQL.—
Dashboard builderYesCreates narrative and operational reports.—
dbt integrationYesConnects analytics workflows to dbt projects.—
Git version controlYesSupports controlled changes to analytics logic.—
Embedded analyticsYesOffers unlimited viewers in embedded use cases.PartialAPIs allow embedding analytics in custom applications, but there is no dedicated embedding SDK or white-label product.
APIYesSupports report data, schedules, jobs, and users.—
Row-level permissionsYesSupports governed access for sensitive data.—
Dashboards & visualization—YesBrowser-based dashboards and visualization combining multiple views into a real-time overview.
Self-service BI—YesBusiness users explore governed models directly or through Power BI, Tableau and Excel without SQL.
Natural language query—YesKyvos Dialogs provides context-aware conversational analytics over the semantic layer.
Semantic layer / data modeling—YesCore product: one governed model of metrics, dimensions and hierarchies shared across BI and AI.
AI features—YesMCP server for AI agents, LangChain connectivity and semantic grounding to reduce LLM hallucination.
Data governance & lineage—YesRBAC, row and column-level security, column masking, centralized policy control and visual audit logs.
Public API—YesFull API support for querying models and programmatic model management, plus an MCP server interface.
Alerts & notifications—PartialNotifications fire on data model and access-pattern changes; no general metric-threshold alerting engine.
Mobile app—NoNo dedicated mobile application; consumption is via browser or a connected BI tool's own mobile client.
Integrations verified—15+
Aggregate rating— · No reviews yet4.8 · 247 reviews
Integrations
SnowflakeBigQueryRedshiftPostgreSQLMySQLSQL Server+8 more
Microsoft Power BITableauMicrosoft ExcelLookerStrategy (MicroStrategy)Snowflake+9 more
Security & compliance
SOC 2GDPR
SOC 2 Type ISOC 2 Type IIISO 27001HIPAA
Pros
  • Public plan pricing
  • Strong modeling and governance
  • Self-service without SQL for end users
  • Embedded and API support
  • 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
Cons
  • High starting price
  • Requires data-modeling setup
  • Smaller brand than large BI suites
  • Advanced security is a separate plan
  • 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
Visit Holistics ↗Visit Kyvos ↗