Performance

1500x faster analytics, 
proven in production

Helping customers run analytics dramatically faster—at any data volume, concurrency and complexity

The Semantic Layer Buyer's Guide

15 vendors compared across 11 key criteria

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The Problem

Enterprise analytics slows as workloads scale

Bigger datasets mean more data to scan. More users and AI agents mean more queries competing for compute. Harder questions mean more joins and calculations. When every query works directly against raw data, that work is repeated again and again—slowing responses as the workload grows.

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Kyvos makes enterprise analytics
dramatically faster

Kyvos handles the heavy lifting once up front, so no query starts from scratch

Cut the back-and-forth

Give AI the context it needs up front, so it reaches answers in fewer reasoning rounds.

Skip the wait

Queries served from the semantic layer, without repeatedly hitting the warehouse.

Handle any volume

Performance stays consistently fast, even as data volumes grow to billions of rows.

Keep pace with demand

Thousands of users and AI agents can query at once, with answers staying fast.

Performance that holds up in the real world

While most platforms slow down under enterprise load, Kyvos stays fast—even as data, complexity and demands scale.

Customer Proof

1500x faster analytics

on 30x more data for a leading retail services provider

Benchmark

Raising the bar on speed

Consistently fast performance across four major data warehouses, irrespective of the workload

Download report

	Without	With Kyvos
BigQuery	1,565.51s	18.27s • 87x faster
Snowflake	1,251.58s	18.05s • 70x faster
Redshift	1,597.81s	18.51s • 86x faster
Databricks	1,329.10s	17.93s • 74x faster

How Kyvos fits
in your analytics stack

Under the Hood

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See how trusted business context
improves AI accuracy in production

AI Accuracy

Discover how precise business context
reduces AI token consumption

Token Savings

Kyvos Joins
Apache Ossie

An open, interoperable semantic standard for enterprise AI

COMING SOONBusiness
Knowledge Graphs

Maps KPIs, entities, concepts and knowledge with their rules, weights and causal paths

AI Space

Governed workspace to assemble the context & tools an AI use case needs

Model
Routing

The best-fit, most cost-efficient AI model for each task

FAQs

How does Kyvos make analytics faster?

Kyvos does the heavy lifting upfront, so queries can be answered without repeatedly scanning and processing raw data. This significantly reduces query response times, with customer deployments achieving up to 1500x faster analytics.

Why do analytics queries slow down at enterprise scale?

Warehouses run each query from scratch, so cost and response time climb as data volumes, query complexity and concurrent users grow. Kyvos removes that repeated work.

Does performance hold as data and users grow?

Yes. Kyvos keeps answers fast whether one analyst queries or thousands of users and AI agents do at once, across datasets scaling into billions of rows.

Does Kyvos replace my data warehouse or BI tool?

No. Kyvos sits between your tools and your data. The same warehouse and consumption tools stay in place, only the path to the answer gets faster.

Which data platforms and BI tools does Kyvos work with?

Kyvos runs across major cloud platforms including Databricks, Snowflake, BigQuery and Microsoft Fabric, and serves every connected BI tool and AI agent from one layer.

1500x faster analytics, proven in production