Kyligence
Kyligence: A broad semantic layer for governed, multidimensional enterprise analytics. Ranked #7 of 28 in Semantic Layer Software by our editors (8.7/10); pricing: Pricing on request; best for multidimensional enterprise analytics.
At a glance
- Editor score8.7 / 10
- PricingPricing on request
- Best forMultidimensional enterprise analytics
- Governed metricsYes
- Founded2016 · San Jose, California, United States; Shanghai, China
- Facts checked20 Sep 2026
Where it wins
- Centralizes metrics, dimensions, measures, and hierarchies
- Supports SQL, MDX, JDBC, ODBC, REST, and major BI tools
- Combines granular access controls with PB-scale OLAP processing
Where it doesn't
- Contact-sales pricing makes plan comparison less direct
- Its enterprise breadth may exceed simpler analytics requirements
- Multiple interfaces and modeling options can require dedicated data-team ownership
Our verdict on Kyligence
Kyligence is a metrics management and semantic-layer platform for data teams, analysts, business users, and enterprises that need consistent business definitions across analytics tools and applications. It supports cloud, private-cloud, and on-premises data environments through web, API, and self-hosted options. Kyligence Zen focuses on AI-assisted metrics management, while Kyligence Enterprise supports large-scale multidimensional analysis with OLAP processing.
The platform’s strongest fit is organizations that need governed analytical structure rather than a single reporting interface. Dimensions, measures, hierarchies, centralized business metrics, and governed data marts support multidimensional analysis, while row- and column-level access controls provide granular data access management. SQL, MDX, JDBC, ODBC, and REST interfaces extend the semantic layer across applications and analytics workflows. Connections to Excel, Power BI, Tableau, and MicroStrategy also make it suitable for environments where teams already work across several business intelligence tools.
AI-assisted data modeling and query acceleration add automation to the modeling and query experience, but the product remains centered on a broad enterprise data architecture. The published pricing model is contact-sales, so organizations should expect a sales-led evaluation rather than a simple self-serve plan comparison. Kyligence is a strong choice for enterprises that need shared metric definitions, multiple query interfaces, controlled access, and PB-scale OLAP capabilities. Teams seeking a narrower analytics tool with fewer modeling and integration considerations may find this scope unnecessary.
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Kyligence pricing
Kyligence fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Governed metrics | Yes |
| Dimensions and joins | Yes |
| Row-level security | Yes |
| Certified models | Not verified |
| Query API | Yes |
| Deployment model | Hybrid |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | SOC 2, ISO 27001 |
| Support | Email, Phone, Docs |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Integrations | 7 integrations: Excel, Power BI, Tableau, MicroStrategy, JDBC, ODBC … |
| Pricing | Pricing on request |
| Website | kyligence.io |
| Facts checked | 20 Sep 2026 |
Kyligence integrations
Kyligence lists 7 integrations on its own site.
- Excel
- Power BI
- Tableau
- MicroStrategy
- JDBC
- ODBC
- REST API
Alternatives to Kyligence
- 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 Kyligence alternatives →
Kyligence vs the competition
- Kyligence vs Cube
- Kyligence vs AtScale
- Kyligence vs GoodData
- Kyligence vs Honeydew
- Kyligence vs Starburst Enterprise Context Layer
- Kyligence vs Looker
Compare Kyligence with any tool side by side →
Also Ranked In
Kyligence is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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