Case Study: Zenput achieves consistent store performance and rapid growth with mLab’s managed MongoDB

A mLab Case Study

Preview of the Zenput Case Study

Zenput Taps mLab to Help Retailers Achieve Better Store Consistency

Zenput is a mobile-first task management and data-collection platform that helps large retailers enforce brand and operational consistency across hundreds of locations. Faced with highly variable, unstructured customer data and the need for a scalable, always-available backend, Zenput chose mLab’s managed MongoDB Database-as-a-Service to support a flexible non-relational data model and ensure high availability.

mLab provided a hosted MongoDB solution plus tooling (Slow Query Analyzer, Telemetry) and expert performance support, allowing Zenput to operate an issue-free database and focus on product and customers. As a result of relying on mLab, Zenput has scaled quickly into a multi-million-dollar business, doubling its business over the past year while maintaining reliable, high-performance data services for its retail customers.


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Zenput

John Clarke Mills

CTO


mLab

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