Cube vs Kyvos

Cube9.4Visit Kyvos8.6Visit

Higher score Cube #1 in Semantic Layer Software 9.4/10 Free plan Free plan✓ 4 of 5 features Visit Cube

vs

Kyvos #8 in Semantic Layer Software 8.6/10 Paid ✓ 4 of 5 features Visit Kyvos

• Cube fits best

  Teams needing a complete governed semantic layer

• Kyvos fits best

  High-scale multidimensional BI deployments

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Side by side

Feature	Cube 9.4/10 Visit ↗	Kyvos 8.6/10 Visit ↗
At a glance
Editor score	9.4	8.6
Ranking	#1 in Semantic Layer Software	#8 in Semantic Layer Software
Best for	Teams needing a complete governed semantic layer	High-scale multidimensional BI deployments
Pricing model	Free plan + paid	Paid
Starting price	$40/user/mo	$0.41/unit usage-based
Free plan	✓ (best)	—
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web	Web
Support	Email, Live chat, Community, Docs	Docs
Compliance	SOC 2, GDPR, HIPAA, SSO/SAML	SOC 2, ISO 27001, HIPAA, PCI DSS, SSO/SAML
Integrations	20 integrations	20 integrations
Built for	Small business, Mid-market, Enterprise	Enterprise
Features Cube 4/5 · Kyvos 4/5
Governed metrics	✓	✓
Dimensions and joins	✓	✓
Row-level security	✓	✓
Certified models	Not checked yet	Not checked yet
Query API	✓	✓
Specs
Deployment model	Hybrid	Hybrid
Our review
Pros	Governed metrics, dimensions, joins, and access policies SQL, REST, GraphQL, MCP, DAX, and MDX APIs Cloud, self-hosted, caching, CI/CD, and embedded analytics	Governed metrics, dimensions, hierarchies, and business rules Multidimensional analysis with pre-calculated aggregates Broad BI access through SQL, MDX, DAX, APIs, and connectors
Cons	Premium features require an $80 per-developer monthly plan Enterprise capabilities use custom pricing Its broad feature set may exceed narrow BI needs	No free plan is available Usage-based cloud pricing is charged per core hour May be more than needed for narrow BI deployments
Our verdict	Cube is an analytics platform for teams that need a governed semantic layer across internal business intelligence, embedded analytics, dashboards, workbooks, and AI agents. Teams define metrics, dimensions, joins, and access policies once,… Read the review →	Kyvos is an enterprise semantic layer for analytics and AI, designed for data teams and business users managing complex models across cloud or on-premises data platforms. It defines governed metrics, dimensions, relationships, hierarchies,… Read the review →

Strengths and trade-offs

• Cube — where it wins

  • Governed metrics, dimensions, joins, and access policies
  • SQL, REST, GraphQL, MCP, DAX, and MDX APIs
  • Cloud, self-hosted, caching, CI/CD, and embedded analytics

  Where it doesn't

  • Premium features require an $80 per-developer monthly plan
  • Enterprise capabilities use custom pricing
  • Its broad feature set may exceed narrow BI needs

• Kyvos — where it wins

  • Governed metrics, dimensions, hierarchies, and business rules
  • Multidimensional analysis with pre-calculated aggregates
  • Broad BI access through SQL, MDX, DAX, APIs, and connectors

  Where it doesn't

  • No free plan is available
  • Usage-based cloud pricing is charged per core hour
  • May be more than needed for narrow BI deployments

• Cube9.4/10 · Free plan

  A governed semantic layer for teams building internal and embedded analytics.

  Visit CubeFull verdict →
• Kyvos8.6/10 · Paid

  A governed semantic layer for multidimensional analytics across cloud and on-premises data.

  Visit KyvosFull verdict →