Databricks
398 Case Studies
A Databricks Case Study
Omega Point helps investment and strategy teams extract actionable insights from large “alternative” datasets (satellite imagery, web traffic, transcripts, etc.) through its Portfolio Intelligence Platform. Its product launch was delayed because a self‑managed Spark-based infrastructure was unstable, updates to Spark arrived slowly, and separate tooling for data science and engineering created silos—requiring three full‑time engineers just to maintain clusters and hampering development.
Omega Point moved to Databricks’ managed Spark platform and integrated workspace, enabling automated job scheduling, monitoring, and collaborative notebooks with preinstalled libraries. As a result they shipped core features six months faster, increased production uptime by 80%, and cut maintenance costs by 75%, freeing engineering time to focus on product work.
Omer Cedar
CEO