Case Study: handytec achieves 10x faster, real-time geoanalytics with MemSQL

A MemSQL Case Study

Preview of the handytec Case Study

Handytec Provides Fast Geoanalytics with MemSQL

handytec is an Ecuadorian big‑data firm that built helio.geo in 2018 to add the missing “where” dimension to analytics. The company needed a way to store and query large, geospatial and semi‑structured datasets quickly to support spatial analysis across industries (retail, insurance, banking) and overcome the limited performance and user experience of traditional platforms.

To meet that need handytec deployed helio.geo on MemSQL as a cloud backend, enabling secure storage, JSON processing and real‑time queries. The result: helio.geo processes hundreds of datasets about 10× faster than their old databases, powers predictive models for demand, risk and expansion, and delivers the scale, speed and improved UX customers require for dynamic pricing, risk assessment and targeted financial services.


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handytec

Jorge Jaramillo

Managing Partner


MemSQL

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