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Universal Semantic Layer : The foundation for instant, actionable, agentic analytics
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Multidimensional Analytics
That Surpasses OLAP

Kyvos’ multidimensional semantic data models deliver everything OLAP was supposed to and everything OLAP cannot

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    Multi-level hierarchies and nested relationships that mirror real-world business complexities

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    Sub-second performance on billions of rows

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    Any BI tool, any cloud platform — no vendor lock-in

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    Unified data model that replaces fragmented cubes across SSAS, TM1, Essbase, Azure AS

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    Cloud-native architecture built for modern BI and AI workloads

Your Perfect Replacement for Legacy OLAP

Kyvos is the modern alternative for teams looking for cloud-native multidimensional analytics—or
outgrowing SSAS, TM1, Essbase, Strategy Intelligence Server or Azure AS

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Kyvos

Why Teams Searching for OLAP
Choose Kyvos Instead

Most organizations evaluating OLAP tools today aren’t trying to return to cubes—they’re trying to keep their analytics fast, consistent and trustworthy as data grows.

  • OLAP Can’t Perform at Scale → Kyvos Can
  • OLAP Creates More Silos → Kyvos Eliminates Them
  • OLAP Requires Rebuilds → Kyvos Doesn’t
  • OLAP Doesn’t Work for AI → Kyvos Does
  • OLAP Locks You Into A Tool → Kyvos is Ecosystem-Native

  • Legacy OLAP
    Why teams are moving away

  • OLAP Can’t Perform at Scale → Kyvos Can
    not availableLegacy OLAP chokes on cloud-scale data, high cardinality and semi-structured formats
  • OLAP Creates More Silos → Kyvos Eliminates Them
    not availableEvery OLAP cube becomes a separate metric island
  • OLAP Requires Rebuilds → Kyvos Doesn’t
    not availableMaintenance-heavy cube rebuilds break SLAs
  • OLAP Doesn’t Work for AI → Kyvos Does
    not availableOLAP metrics can’t flow into LLMs or agents
  • OLAP Locks You Into A Tool → Kyvos is Ecosystem-Native
    not availableTraditional OLAP locks you into specific tools


  • The modern alternative

  • OLAP Can’t Perform at Scale → Kyvos Can
    availableKyvos handles billions of rows of data—with sub-second performance
  • OLAP Creates More Silos → Kyvos Eliminates Them
    availableKyvos builds one unified data model for all AI and BI workloads
  • OLAP Requires Rebuilds → Kyvos Doesn’t
    availableKyvos leverages cloud-scale processing for faster, more reliable refresh cycle
  • OLAP Doesn’t Work for AI → Kyvos Does
    availableKyvos’ semantically enriched data models offer full business context for AI
  • OLAP Locks You Into A Tool → Kyvos is Ecosystem-Native
    availableKyvos works with Power BI, Tableau, Excel, Strategy, Looker, AI/LLM apps and more

Multidimensional Analytics with all OLAP’s Strengths and None of Its Architectural Constraints

  • Multidimensional modeling at scale

    Build rich models that can handle up to 10000+ KPIs, 1000+ attributes, 100+ dimensions and thousands of measures

    Multidimensional modeling at scale

  • Unified data model instead of fragmented cubes

    Replace multiple SSAS, TM1, Essbase, or Azure AS cubes with one governed, semantically enriched data model

    Unified data model instead of fragmented cubes

  • Cloud-first

    Run advanced analytics on your data on Snowflake, Databricks, BigQuery, Redshift, S3, ADLS and more

    Cloud-first

  • Designed for deep, real-world analytics

    Multi-level, recursive, ragged, parent-child and alternate hierarchies, along with custom roll-ups, complex and semi-additive calculations

    Designed for deep, real-world analytics

  • Preserve familiar behaviors, remove platform limits

    Continue to support advanced analytics functions, MDX-style logic, drilldowns and complex hierarchies—now running on elastic cloud infrastructure

    Preserve familiar behaviors, remove platform limits

  • Make analytics AI-ready

    Expose trusted business context to LLMs, agents and AI applications—something legacy OLAP simply cannot do

    Make analytics AI-ready

  • Sub-second responses

    Run complex slices, dices and pivots on billions of rows on cloud or on-premises platforms—without performance degradation

    Sub-second responses

  • Keep tools users love

    Keep Excel, Power BI, Tableau and other BI tools as-is—Kyvos accelerates them without forcing a front-end switch

    Keep tools users love

  • Enterprise-grade governance and security

    Apply fine-grained access controls, lineage and auditability across BI and AI workloads from a single enterprise-wide model

    Enterprise-grade governance and security
Case study

Fast Multidimensional Analytics on Advanced Hierarchies
for 100s of concurrent users

Read case study

Built for Your Most Demanding Analytics

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Financial & FP&A
Analytics

P&L, budgeting, allocations, variance, and scenario modeling across product, region, cost centers, customer, and time dimensions.

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Portfolio & Risk Analytics (Banking, Insurance, Investments)

Risk, exposure, performance, stress testing, and asset allocation across portfolio × instrument × market × sector × counterparty × time.

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Retail, CPG & Merchandising Analytics

Category, SKU, store, promotion, pricing, and assortment analytics across billions of transactions with deep store × SKU × time × channel drilldowns.

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Supply Chain & Logistics Analytics

Demand, inventory, transportation, capacity, and network optimization across SKU × warehouse × route × supplier × region × time.

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Customer, Marketing & Revenue Analytics

Segmentation, churn, LTV, attribution, and revenue performance across customer × product × channel × campaign × interaction × time.

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Manufacturing, Operations & Quality Analytics

Yield, throughput, defect, and root-cause analysis across plant × line × machine × shift × operator × SKU × time.

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Telecom Network & Subscriber Analytics

Network performance, outages, traffic patterns, and subscriber behavior across tower × device × region × plan × application × time.

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Healthcare & Insurance Claims Analytics

Claims cost modeling, utilization, provider performance, and fraud detection across member × provider × diagnosis × procedure × geography × plan × time.

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Energy, Utilities & IoT Analytics

Consumption, grid stability, asset performance, outages, and predictive maintenance across device × meter × region × asset × time.

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