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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Kyvos Insights
Kyvos Insights

Kyvos Insights

Founded by Praveen Kankariya in 2015

Create a unified semantic layer across enterprise data for faster analytics queries

Pricing model

Paid

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Kyvos to build a unified semantic layer across massive enterprise data stores and cloud warehouses. It connects your data lakes, such as Snowflake, Databricks, BigQuery, and AWS Redshift, directly to business intelligence tools and AI applications. Kyvos standardizes business definitions, metrics, and data models in one central location. This setup allows analysts to run sub-second queries across billions of rows without breaking dashboards, while AI agents receive consistent business context to answer user questions accurately and reduce compute costs.

What Kyvos Insights does

Build standardized semantic models across enterprise databasesConnect cloud data warehouses directly to visualization dashboardsSpeed up complex SQL analytical queries on massive datasetsDefine unified business metrics and calculation rules in one placeFeed governed business context into enterprise AI promptsGovern data access permissions across AI tools and BI dashboardsCentralized semantic modeling for enterprise business logicHigh-speed query acceleration across billions of data rowsNative connectivity with major cloud data warehousesDirect integration with common BI reporting applicationsBusiness context governance for enterprise AI assistantsModel routing to select cost-effective AI models for tasksSub-second response times for high concurrent user counts

Pricing breakdown

Pricing model: Paid

PlanList price
Kyvos on Cloud Marketplace (per core hour)$0.41 / mo
Kyvos Managed Service (per core hour)$0.61 / mo

Frequently asked

SnowflakeSnowflakeDatabricksDatabricksGoogle CloudGoogle CloudTableauTableauPower BIPower BILookerLookerMicroStrategyMicroStrategy

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Kyvos, semantic layer, business intelligence, enterprise AI, data analytics, Snowflake, Databricks, BigQuery, AWS Redshift, Power BI, Tableau, sub-second queries, data modeling, business context, Apache Ossie