BI Performance Engineered
for Scale, Not Demos

No —Kyvos is a semantic layer, not a BI accelerator. While it includes powerful acceleration capabilities, its core value is unifying metrics, business logic, hierarchies and governance across every BI tool. Kyvos delivers high-performance analytics while ensuring that all users work from a consistent, trusted semantic model—something traditional accelerators cannot provide.

No. Kyvos works alongside your existing BI tools—such as Power BI, Tableau, Looker and Excel—to make them faster, more scalable and more reliable on cloud-scale data. Your dashboards, reports and models continue to work as they are; Kyvos simply provides the performance layer that allows them to run interactively on massive datasets.

Kyvos improves BI performance by introducing an semantic layer between your BI tools and data platforms. Its AI-powered smart aggregation technology and intelligent caching enable sub-second queries, multidimensional analysis and high concurrency without overwhelming the underlying warehouse or increasing compute usage.

Kyvos reduces cloud compute cost by offloading complex analytical processing into its optimized semantic layer. By aggregating intelligently, supporting high concurrency efficiently and eliminating the need for extracts or duplicated data, Kyvos delivers consistent BI performance at scale without runaway compute costs.

Yes. Kyvos is engineered for very large-scale analytics, supporting billions of rows while still delivering interactive, sub-second performance. Its semantic layer maintains consistent definitions, hierarchies and governance, ensuring accurate and reliable insights even as data volumes grow dramatically.

Yes. Kyvos dramatically improves the performance of BI tools like Power BI, Tableau and Looker by delivering sub-second query responses on large, complex or fast-growing datasets. Instead of pushing heavy computations to the BI engine or the cloud data warehouse, Kyvos processes queries through its semantic layer, which is optimized for analytical workloads at scale. This means:

• Dashboards load instantly, even on billions of rows
• Complex filters, drilldowns and slicers respond in real time
• Live connections become feasible without extracts, imports or hyper files
• BI teams avoid timeouts and compute spikes on Snowflake, Databricks or BigQuery

Kyvos gives every BI tool a high-performance, cloud-scale foundation, so users experience consistent, interactive analytics regardless of dataset size.

Yes. Kyvos delivers full multidimensional analytics on cloud-scale datasets. This allows BI teams to run complex calculations that traditional BI engines or SQL-based warehouses struggle with at large volumes. Kyvos supports:

• Time-series analysis (e.g., YTD, MTD, rolling windows, period-over-period)
• Financial functions like XIRR, NPV, CAGR, contribution analysis
• Custom hierarchies for product, geography, organization, customer segments, etc.
• Parent-child and ragged hierarchies without performance penalties
• Advanced measures including ratios, allocations and multi-level aggregations
• High-cardinality dimensions with billions of members

Because Kyvos pre-computes and optimizes these structures, users can drill down, pivot, slice-and-dice and explore complex analytical models in real time, even when data volumes grow into billions of rows.

Kyvos is designed to support thousands of simultaneous BI users without slowing down dashboards or overloading the cloud warehouse. Its architecture separates query processing from the underlying compute platform, ensuring that high concurrency does not translate into cascading workloads or expensive scaling events. Key capabilities include:

• A distributed query engine that handles many parallel requests efficiently
• Intelligent caching and pre-aggregation that reduce repetitive workloads
• Linear scaling to maintain consistent query times, even during peak usage
• No query queues, timeouts or bottlenecks when multiple users hit the same dashboard

This ensures predictable performance across teams, business units and regions—even during month-end closes, product launches or seasonal peaks.

Yes. Kyvos supports frequently refreshed and fast-moving data while maintaining high-speed performance. Its incremental refresh framework allows you to update only the changed portions of your dataset—keeping the semantic model aligned with the latest data without rebuilding everything from scratch. With Kyvos, BI teams can:

• Analyze daily, hourly or near-real-time data with consistent speed
• Keep dashboards aligned with operational systems without degrading performance
• Refresh massive semantic models incrementally—even when data grows by billions of rows
• Serve business users with the freshest possible data while retaining sub-second query response

This makes Kyvos a strong fit for businesses with high-velocity data, such as retail, telecom, healthcare, banking and more.