New: AI insights grounded on your semantic layer Featured in G2 embedded analytics reviews Flat-rate pricing for unlimited tenants Webinar — Scaling multi-tenant to ten thousand customers New: AI insights grounded on your semantic layer Featured in G2 embedded analytics reviews Flat-rate pricing for unlimited tenants Webinar — Scaling multi-tenant to ten thousand customers
Snowflake Savings Calculator

Calculate Your Snowflake Savings

With Qrvey's Embedded Analytics, You Can Reduce Your Monthly Costs & Snowflake Costs for Analytics Queries.

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Snowflake Pricing Calculator

Snowflake Pricing Calculator

Estimating cost savings for a Snowflake warehouse used for ad-hoc queries. Try our ROI calculator to discover your potential cost savings.

Your Current Snowflake Warehouse

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Current Daily Snowflake Usage for All Data Queries

Target Snowflake Usage With Only Real-Time Data Queries

If you only used Snowflake for real-time reports, what would usage be then?

Your Savings With Qrvey

Fill in your usage details and click Calculate to see your potential savings.

Snowflake Savings Over 50% With Qrvey

Qrvey's embedded analytics for Snowflake can help lower your Snowflake bill and give you a better embedded analytics experience within your SaaS application.

Common Way Costly

All data for dashboard usage is backed by Snowflake using a dedicated warehouse for ad-hoc queries.

New Efficient Way

Using Qrvey, single dashboards can combine multiple data sources to minimize the queries to your Snowflake analytics warehouse.

Snowflake Sourced Charts
Qrvey Sourced Charts

See The Savings: Try Our Snowflake Cost Calculator

Calculate Your Savings

Take a deeper dive on how we help Snowflake customers lower their Snowflake spend.

 

Reduce Queries to Snowflake for Embedded Analytics

Qrvey's embedded analytics for SaaS apps offer the unique ability to combine analytics widgets in a single dashboard using multiple data sources enabling customizable data analysis right by all your users.

Use Snowflake for

Real-Time Reporting

Use Snowflake for up-to-the-minute real-time reporting needs.

Use Snowflake for

Your Data Warehouse

Snowflake stays as your primary source of record for all data.

Use Qrvey for

Near Real-Time Data

Use Qrvey for all data reporting that does not require real-time data.

Use Qrvey for

Qrvey as Your Processing Layer

Sync data to Qrvey on a schedule based on reporting needs.

How It Works

A Hybrid Approach to Embedded Analytics

Real-time data from Snowflake & near real-time data from Qrvey

Embedded Analytics
Software
Real-Time Data Connection
Near Real-Time Data Store
Analytics Data
Warehouse

Embedded Analytics Software

SaaS application users build and customize dashboards using multiple data sources within your SaaS application.

Qrvey Processing Layer

Qrvey's native processing layer can dynamically query data from multiple sources, routing the query to the appropriate source.

Data Warehouse

Snowflake maintains its role as the primary data warehouse and the source of real-time data, but syncs data to Qrvey to power multi-tenant analytics.

Qrvey Provides the Best of Both Worlds

When paired with Snowflake's serverless infrastructure, organizations can fine-tune the tradeoff between real-time data needs and cost management. The flexibility delivers analytics that are current, comprehensive, and cost-efficient across both real-time dashboards and interactive exploratory analysis.

Seamless Integration

The Qrvey dashboard and visual analytics platform provides a seamless integration with Snowflake's serverless architecture. By leveraging Qrvey's flexible connectivity options, organizations can optimize costs while still meeting their real-time and near-real-time analytics needs.

Use Both Live and Near Real-Time

Qrvey offers both live and cached connectivity modes to Snowflake. The live connection delivers true real-time analytics by querying data as it arrives in Snowflake. This ensures users always have access to the freshest data.

Reduce Live Querying Costs

Live connections incur continuous querying costs that may be unnecessary for near-real-time use cases. Qrvey allows SaaS companies to cache data and refresh it on a scheduled basis. The cached data is just seconds or minutes delayed, but slashes the querying costs substantially.

Frequently
Asked
Questions

While Snowflake offers powerful cloud data warehousing capabilities, it can become costly when used for all analytics queries including ad-hoc and near-real-time dashboards. Continuous querying drives up credit consumption, and dedicated warehouses can sit idle between queries—driving unnecessary spend.
Qrvey analytics dashboard

Qrvey is the embedded analytics platform designed specifically for SaaS companies.

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AI-Native Self-Service · 100% Embedded · Multi-Tenant · Flat-rate Licensing · Built-In Data Pipeline