Kyvos Featured in Gartner’s 2025 Hype Cycle for Analytics and BI, Second Year in a Row

Kyvos has been recognized in Gartner’s Hype Cycle for Analytics and Business Intelligence for the second consecutive year (2024 and 2025). The Hype Cycle provides a comprehensive view of the evolving analytics and BI landscape, highlighting key trends such as agentic analytics, natural language query capabilities and perceptive analytics. It also helps organizations assess the maturity and adoption of these emerging technologies, enabling informed decisions on when and how to invest.

As part of this analysis, Gartner has placed Kyvos in the metrics layer category—a recognition that underscores its strategic role in helping enterprises standardize and scale analytics.

Why Enterprises Trust Kyvos Year After Year

Kyvos semantic layer delivers lightning-fast analytics at massive scale across all BI tools while driving significant cost savings on any data platform. It offers universal, consistent and trusted semantic intelligence for agents, LLMs and BI, ensuring every workflow runs on governed data.

The ambitious goal of delivering a single, universal semantic layer has long eluded organizations and vendors alike. As enterprises grapple with increasing analytical complexity and mounting business demands, traditional semantic layers often struggle to keep pace. Kyvos eliminates these gaps with the following capabilities:

1000x faster analytics

Traditional semantic layers often struggle to deliver fast query responses as data volumes grow, especially when handling complex, multi-dimensional analytics. Slow queries, repeated pushdowns to underlying data sources and concurrent workloads can cause analytics bottlenecks.

Kyvos eliminates these performance gaps with sub-second responses for every query through its fast analytical engine built for any workload. Its fully distributed and elastic architecture, combined with AI-powered smart aggregation, query optimization and intelligent caching, ensures that even the most complex queries return instantly.

Infinite scalability

Growing data volumes and increase in concurrent users also often push traditional semantic layers to their limits. As this happens, these layers can struggle to deliver responses at the speed required by modern enterprises, forcing them to invest in costly infrastructure upgrades or workarounds.

Kyvos supports over 10,000 concurrent users without any performance degradation and scales seamlessly both horizontally and vertically, ensuring reliable, high-speed analytics at any scale. Apart from this, Kyvos also supports ultra-wide, rich data models. It enables enterprises to manage 10,000+ KPIs, 1,000+ attributes and 100+ dimensions in a single unified model. Additionally, it supports 25 rollup and drilldown levels and advanced hierarchies that mirror real-world scenarios. This ensures that scaling doesn’t compromise insight depth or accuracy.

More than 50% reduced cloud costs

Traditional semantic layers often struggle with rising analytics costs. Scaling users or datasets and idle resources add up, while legacy tools and fragmented cubes make budgeting unpredictable.

Kyvos controls analytics spending without compromising performance. AI-powered smart aggregation optimizes compute usage, while intelligent caching, horizontal scaling and auto-scaling capabilities reduce unnecessary compute and query pushdowns. These features also dynamically adjust resources to avoid overprovisioning. Combined with multi-tenancy optimization, runtime savings and incremental refreshes, enterprises can achieve more than 50% cost reduction on any data platform.

Standardized metrics and governance

As organizations grow, analytics often decentralize, with teams building their own dashboards, KPIs and reports—making consistent governance difficult.

Kyvos provides a governed semantic layer that ensures trusted, consistent metrics across the enterprise. It centralizes business metrics, data access rules and calculation, enabling all teams to work from the same standardized definitions. With multi-level security, role-based access, row- and column-level permissions, audit logs and compliance certifications, organizations maintain full control over data usage. Built-in backups, encryption and seamless directory integration enable secure, auditable metrics.

Seamless connectivity for AI and BI at scale

Integration and scalability are major challenges as enterprises collect data from multiple sources—databases, cloud platforms, applications and external systems—often leading to fragmented or inconsistent insights.

Kyvos connects seamlessly with cloud platforms, data warehouses, BI tools and AI frameworks, transforming complex data into multidimensional models for fast, unified analytics at scale—all without changing existing infrastructure.

With LangChain connectivity and the Kyvos MCP server, AI developers can accelerate agentic AI development. The MCP server provides AI agents with a consistent, modeled interface to governed enterprise data—no manual mapping or duplication—by connecting directly to the Kyvos semantic layer. This creates enterprise-ready AI agents powered by semantic intelligence, delivering over 90% accuracy and consistent insights across AI and analytical workflows.

At the same time, Kyvos Dialogs extends this capability to business users with natural language querying (NLQ) tied directly to the semantic layer. This makes conversational analytics accurate, governed and scalable—empowering users to ask complex questions and get instant, trusted answers in everyday business language.

Recognition That Reflects Customer Value

Being recognized in Gartner’s Hype Cycle for Analytics and BI validates the tangible value Kyvos delivers to customers. This recognition reflects how our semantic layer addresses real-world business challenges: accelerating analytics at scale, enabling governed and accurate insights, reducing costs and empowering all users. For Kyvos, this milestone reinforces our vision to not just keep pace with the future of analytics, but to define it—creating a unified, enterprise-ready platform that transforms how organizations explore, analyze and act on their data.