DataRadar provides a Native App that makes Snowflake data AI-ready with data quality monitoring and cost optimization.

Your Snowflake data isn't AI-ready just because it exists. It has to be trusted, optimized, and governed before it can power anything that matters. DataRadar™ is the only Native App that delivers complete data quality monitoring and cost optimization within your Snowflake environment. No connectors, no middleware, no data leaving your cloud. Why DataRadar™: UNIFIED: Data quality monitoring and cost optimization in one platform via The DataRadar™ Observability Framework: 1. Data Reliability: Ensure accuracy, completeness, and consistency. Detect anomalies. Deliver AI-ready data. 2. Pipeline Health: Track lineage, volume, freshness, and health. Know where data comes from and why it failed. 3. Performance Optimization: Monitor warehouse performance, query efficiency, and resource use. Prevent bottlenecks. 4. Usage Intelligence: Visibility into utilization at the user, role, and department level. Identify top consumers and optimize. 5. Cost Visibility: Track spend, spot inefficiencies, and receive real-time cost-spike alerts. The only Native App offering all five dimensions, data quality monitoring, and intelligent cost optimization in one unified solution. Deploy in under 30 minutes. Pay with existing Snowflake credits. NATIVE: Data never leaves your Snowflake environment. No infrastructure provisioning, no data egress, no metadata extraction. One native app. RAPID: Deploy in under 30 minutes from Snowflake Marketplace. No calls, no POC needed. Start your 30-day trial today. APPROVED: Purchase with existing Snowflake credits. No new vendor onboarding, no new budget cycle, no procurement delays. Trust Your Data. Control Your Costs. Power Your AI. "Trust Your Data" means reliable AI depends on trustworthy data. "Control Your Costs" means high compute costs can derail projects. "Power Your AI" means observability is a means to AI outcomes, not an end in itself. Request a Demo: dataradar.io/request-demo