Peer39 is an innovative leader in the ad and digital marketing industry that provides page level intelligence for targeting and analytics. Each day, Peer39 analyzes over 450 million unique webpages holistically to contextualize the true meaning of the page text/topics. Their products allow advertisers to optimize their spend while placing ads in the right place, at the right time, with the right audience while complying to rigorous privacy regulations such as GDPR/CCPA.
Peer39 has been using IBM Netezza for the past 10 years, as a result they faced many limitations. They had to endure a long development time because the traditional MPP system was so rigid. As the system approaches end of life support, Peer39 decided to reevaluate their technology stack. Their legacy process and technology stack faced many challenges:
Upsolver provides Peer39 with a cloud-native, data stream processing platform with an easy to use UI that allows Peer39 to deploy a modernized data stack in the Cloud on time and under budget.
Upsolver is unifying teams across data scientists, analysts, data engineers and traditional DBAs, allowing Peer39 to achieve fast go-to-market with existing staff. After making the decision of moving to the Cloud, it was important for Peer39 to compare different solutions including Spark. Peer39 started seeing challenges with Spark in the POC phase: