Case Study: Omega Point achieves scalable, high-performance investment analytics with mLab's managed MongoDB

Omega Point finds mLab's Database-as-a-Service to be a Sound Investment

Omega Point, a startup that provides quantitative market data on more than 40,000 public equities and 650 metrics per security, needed a scalable, flexible database to ingest about four terabytes of raw data and evolve its schema without diverting engineers to infrastructure work. The company chose mLab’s Database-as-a-Service to host and manage MongoDB so it could move quickly on product development instead of building an in‑house DevOps or DBA team.

mLab delivered a managed MongoDB platform with simple pricing, fast onboarding (databases up and running on day one), responsive support and tools like the Slow Query Analyzer, plus seamless capacity migrations. As a result, Omega Point operates with 99.9% uptime, supports its large, growing dataset (40,000+ securities and 650 daily metrics each), has zero dedicated DevOps/DBA staff, and can focus resources on product and data‑science innovation while lowering infrastructure costs.

Omega Point

Eran Cedar

CTO and Co-Founder