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Inside Augury’s Move from MongoDB to ScyllaDB

Blog post from ScyllaDB

Post Details
Company
Date Published
Author
Amit Ziv-Kenet, Daniel Barsky, Senior Machine Learning Engineer and Algorithms Tech Lead at Augury
Word Count
807
Language
English
Hacker News Points
-
Summary

Augury, a company specializing in predictive technology for industrial equipment, transitioned from MongoDB to ScyllaDB to address scaling and performance limitations as their dataset grew. This move was driven by the need for a more scalable data infrastructure that could handle high-volume analytics and provide real-time insights into machine conditions, crucial for their services, which reduce breakdowns and maintenance costs for customers. Augury's system leverages IoT sensors to collect machine data, using algorithms to deliver actionable insights and maintenance recommendations. ScyllaDB offered an architecture that supports both OLTP and OLAP use cases, reducing complexity and management overhead, and enabling efficient query processing with minimal configuration. The migration to ScyllaDB has been successful, providing Augury with a robust database solution that aligns with their operational needs and supports their expansion plans across North America and Europe.