Flat-rate pricing for unlimited tenants and users Try the Qrvey Developer Playground On-demand session from CPO Summit: Retention in the Age of Agents Flat-rate pricing for unlimited tenants and users Try the Qrvey Developer Playground On-demand session from CPO Summit: Retention in the Age of Agents
← BlogArchitecture

Introducing Qrvey’s Snowflake Integration for Embedded Analytics

David AbramsonDavid Abramson··3 min read

We are thrilled to announce the release of Qrvey’s Snowflake integration, a new data connection option that brings together the best of both worlds – the power of Snowflake for data warehousing and the advanced capabilities of Qrvey’s embedded analytics solution for SaaS applications, all within cloud environments.

Lower Snowflake Costs with Optimized Data Queries

One of the key benefits of our Snowflake integration is its ability to optimize data queries specifically for embedded analytics use cases within SaaS applications. By leveraging Qrvey’s intelligent query optimization layer, you can significantly reduce your Snowflake costs while still enjoying lightning-fast performance.

Snowflake can handle your real-time reporting needs as usual, but for queries relying on data that is not quite real-time, syncing data to Qrvey’s solution (deployed in your AWS environment) can help optimize your Snowflake costs. Check out our Snowflake ROI calculator to estimate your savings.

Not sure if Snowflake is the right warehouse for you? Read our full Snowflake vs Redshift breakdown.

Combine the Power of Snowflake and Qrvey

With Qrvey’s Snowflake data connector, you can seamlessly combine the power of Snowflake’s real-time data reporting capabilities with Qrvey’s advanced features. Qrvey enables dashboard creators to build reports using different data sources to create customizable dashboards specific to their business needs. This means end users can have a single dashboard that combines data sourced from Snowflake and data sourced from Qrvey, drastically reducing your Snowflake costs.

snowflake cost optimization

Get a demo of Qrvey

Keep Your Data Secure within Your AWS Environment

At Qrvey, we understand the importance of data security and compliance. That’s why our Snowflake data connector ensures that your data stays within your AWS environment when using the synced data approach. If using a live connection method, Qrvey reads data directly from Snowflake without the need to sync data.

Experience the Power of Qrvey’s Snowflake Data Connector

Ready to take your data reporting to the next level? Attend Qrvey’s upcoming webinar on Tuesday September 26th to learn more about how Snowflake and qrvey2021.kinsta.cloudbine to offer a cost-effective, yet scalable solution to embedded analytics. Register Now [link to webinar registration]

If you are ready to see more, contact us today to schedule a demo of Qrvey’s Snowflake data connector. Our team of experts will guide you through the seamless integration process and showcase how our solution can unlock the full potential of Snowflake and Qrvey.

Not ready for a demo? Join us for a webinar to see how Qrvey can help optimize your Snowflake costs.

Get a demo of Qrvey

David is the Chief Technology Officer at Qrvey, the leading provider of embedded analytics software for B2B SaaS companies. With extensive experience in software development and a passion for innovation, David plays a pivotal role in helping companies successfully transition from traditional reporting features to highly customizable analytics experiences that delight SaaS end-users.

Drawing from his deep technical expertise and industry insights, David leads Qrvey’s engineering team in developing cutting-edge analytics solutions that empower product teams to seamlessly integrate robust data visualizations and interactive dashboards into their applications. His commitment to staying ahead of the curve ensures that Qrvey’s platform continuously evolves to meet the ever-changing needs of the SaaS industry.

David shares his wealth of knowledge and best practices on topics related to embedded analytics, data visualization, and the technical considerations involved in building data-driven SaaS products.