Snagajob triples query performance, drives costs down
I could see the writing on the wall. We couldn’t support the growth in our business unless we made a dramatic shift with our IT.
— Robert Fehrmann, Principal Data Architect, Snagajob
Read the full report on how Snagajob tripled query performance and drove costs down with Snowflake.
For job seekers, Snagajob uses analytics to identify opportunities based on best-fit skills, past interests, and previous website visits. For employers, it narrows the applicant pool to a subset of suitable candidates.
As soon as Snagajob rolled out its previous legacy analytics solution, projections showed increases in demand would max out the system in just two years. They needed a system that could grow with the business, not one they would have to continually reinvent.
Snagajob used Snowflake’s built-for-the-cloud, data warehouse-as-a-service to stage a scalability and cost of performance test. What they achieved was three times the performance for a fraction of the cost of its on-premises, legacy solution.
Implementing Snowflake’s data warehouse in the cloud improved query performance with higher concurrency loads, providing all stakeholders business intel on demand.
As Snagajob continues to collect and analyze increasing amounts of data to more effectively match employers with qualified job seekers, it can move forward with the confidence that it has the support of a data warehouse and analytics solution that can keep pace.
Learn how Snagajob is benefiting from having one source of truth for all their data, increasing query speed 3x, and scaling compute on demand with Snowflake.