Snowflake Pricing Calculator
Calculate Your
Snowflake Savings
With Qrvey’s Embedded Analytics, You Can Reduce Your Monthly Costs & Snowflake Costs for Analytics Queries
Calculate Your Savings Watch a Demo
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
Default $3 per credit
Default 22 days per month (weekdays only)
Current Daily Snowflake Usage for All Data Queries
Default 6 hours per day
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
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.
See The Savings: Try Our Snowflake Cost Calculator
VIDEO
Take a deeper dive on how we help Snowflake customers lower their Snowflake spend.
SNOWFLAKE COST ESTIMATION
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
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
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
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.
Try It Now: Snowflake Cost Estimator
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.
See For Yourself with Our Snowflake Cost Calculator
FAQs About Snowflake
Snowflake has high costs if not managed well, limited support for unstructured data, and requires third-party tools for data transformation. Data migration can also be complex.
Snowflake’s pay-per-use model can lead to high costs if warehouses aren’t optimized. Compute and storage are billed separately, making expenses unpredictable.
To reduce Snowflake costs, optimize warehouse sizing, reduce auto-suspend times, limit unnecessary queries, and use resource monitors to track usage. Finally, you can use solutions such as Qrvey.
Qrvey offers flexible pricing tailored to the specific needs of SaaS companies, enterprises, and startups. For detailed pricing information, visit Qrvey’s pricing page.
See what our partners have to say.
Herman Haynes
CIO @ Global K9 Protection Group
Adding Qrvey to our business was like turning on a light switch.
Ryan Quackenbush
Senior PM @ JobNimbus
We can’t speak highly enough of the stellar team at Qrvey. Within months of deploying Qrvey, JobNimbus achieved 70% adoption among large
enterprise users.
Dadou Jahanbani
CTO @ Impexium
Qrvey allowed Impexium to go to market quickly and get analytics into the hands of our customers.
Srinivasa Sridharan
CTO @ Setvi
Excellent product and customer support.
asasasasasasas sasasasas
