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BI performance

Scale your analytics,
not your wait times

Deliver sub-second analytics across billions of rows, with fast slicing, dicing, and drill-down to the lowest level of detail—even for thousands of concurrent users

Quick Read

  • Fast, responsive BI for every analysis and interaction
  • Sub-second responses across massive datasets
  • Thousands of concurrent users without performance degradation
  • Drill down to transaction-level detail without performance trade-offs
  • No constant dashboard tuning or infrastructure scaling

The Semantic Layer Buyer's Guide

15 vendors compared across 11 key criteria

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Dashboards taking forever to load?

As data volumes grow, users multiply and queries become more complex, performance starts to break down — slowing everyday analysis and driving up infrastructure costs

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BI slows down as data volumes and analytics complexity grow

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Performance drops when more users and agents run queries simultaneously

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Every query hits the data warehouse, adding latency and compute load

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Keeping BI fast means continually scaling warehouse capacity

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Drilling into granular data turns interactive analysis into a waiting game

Interactive

Make every dashboard interaction feel instant

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    Dashboards stay fast, even at massive data scale and peak concurrency

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    Filters, pivots and drill actions stay responsive

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    No more “dashboard is still loading” moments in meetings

Scale

Analyze at any data scale, without slowing down

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    Sub-second speed on your largest workloads

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    Go from millions to billions of rows without re-architecting

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    No manual tuning or re-modeling as you scale

Concurrency

Predictable performance under high concurrency

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    Instant responses under peak and concurrent usage

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    No sudden slowdowns due to user spikes or heavy queries

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    Performance holds during business-critical periods

Depth

Speed without sacrificing analytical depth

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    Fast drilldowns from KPIs to transaction-level detail

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    Responsive slice-and-dice across many dimensions

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    No slowdown as data granularity increases

Powered by the fastest analytics engine on the planet

Kyvos performs the computationally intensive work ahead of query time, so BI queries can return answers without repeatedly processing billions of rows

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    Precompute analytical results for instant query response

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    Serve queries without sending every request back to the warehouse

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    Continuously optimize models as data and query patterns evolve

Make your existing BI tool blazing fast

How Kyvos fits
in your analytics stack

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Cloud cost savings

See how Kyvos delivers 50%+ savings on cloud compute

Semantics for BI

See how metrics and business logic stay unified and consistent across every BI tool

FAQs

How does Kyvos deliver sub-second performance across all BI tools?
Kyvos provides consistently fast analytics across Tableau, Power BI, Excel, Looker and more. Queries are executed on Kyvos’ high-performance semantic layer, not inside individual BI engines, removing tool-specific performance limits.
How is Kyvos different from warehouse tuning or BI acceleration?
Kyvos delivers predictable performance across all queries, not just optimized ones. Instead of tuning SQL or accelerating individual queries, Kyvos removes the warehouse from the real-time execution path entirely.
What happens when thousands of users query data at the same time?
Response times remain consistent even during enterprise-wide, concurrent analysis. Kyvos uses a fully distributed, elastic architecture that isolates analytics execution from warehouse contention and scales independently of user concurrency.
Why is “no pushdown” important for analytics speed?
Analytics remains fast and predictable without increasing warehouse load or cost. Kyvos executes analytics outside the warehouse, avoiding per-query pushdowns that trigger expensive scans and compete with other workloads.
How does Kyvos decide what to aggregate for performance?
Only the most valuable aggregates are created, keeping analytics fast. AI-powered smart aggregation analyzes query history, data profiles and usage patterns to recommend and adapt aggregates automatically.
Does Kyvos replace the data warehouse?
No—existing warehouses and lakehouses remain the system of record. Kyvos sits above them as a semantic layer, delivering speed without requiring data movement, re-platforming or architectural change.

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