Case Study: MD Insider achieves 5x performance and 30% faster time-to-market with Google Cloud Platform

MD Insider Matching patients with physicians for better outcomes

MD Insider is a healthcare technology company that uses machine learning to generate objective performance insights on physicians, helping patients, health plans, and employers choose better providers. Faced with growing volumes—billions of rows of clinical and non-clinical data—the company struggled with slow network performance, costly always‑on Hadoop clusters, difficult instance tuning, increasing node timeouts, and the need to estimate and prepay capacity.

MD Insider migrated its data services to Google Cloud Platform and adopted Kubernetes Engine, BigQuery, Cloud Dataproc, and Cloud Storage to automate container management and scale analytics on demand. The move delivered a 5x improvement in processing performance, cut costs by about 75%, reduced data‑scoring jobs from three days to four hours, accelerated time to market by up to 30%, and enabled analysis of larger datasets with improved uptime and developer productivity.

MD Insider

Ryan Beaini

Senior Software Engineer