Peer39 Upgrades to Upsolver with Support from Commit
Peer39 is an independent data company that offers the largest data set in digital advertising. As the industry shifts towards a comprehensive approach to contextual targeting, brands, agencies, and publishers increasingly rely on Peer39's AI-driven semantic analysis of web page content, meaning, and sentiment. The company processes a significant amount of data, managing around 20 billion URL requests daily and updating them with approximately 1.5 billion entries from its classification database. Previously, Peer39 utilized Netezza for its on-premises analytics, but as their existing Netezza version was nearing its end, they sought a cost-effective, cloud-based, open-source alternative that wouldn't hinder their processing capabilities. To achieve this, they enlisted Commit to analyze and reverse engineer their current platform, assessing its functions, procedures, ETL processes, analysis frequencies, rates, and data volumes. Understanding the complexity of their old system was vital. Subsequently, Peer39 turned to Commit for assistance in optimizing Spark, only to discover that it wasn't the ideal solution. Commit suggested alternatives like Upsolver, which provides seamless Data Lake Ingestion and ETL, proving to be a great match for Peer39. Commit then implemented essential functionalities, ensuring the platform adhered to S3 best practices. Peer39 appreciated Commit's support, which enabled them to explore new use cases and streamline processes. The Commit team remains involved with Peer39, offering ongoing support, training, and suggestions for improvement. Their collaboration resulted in faster time-to-market, cost savings, and increased flexibility—key factors for Peer39’s success.