Case Study: SingleStore Replaces Hadoop for Managing 2 Million New-Style Utility Meters

The SME Solutions Group, in collaboration with SingleStore, helped a utility company overcome its complex and outdated data infrastructure by replacing 10 different components with a single SingleStore cluster. The new solution provided outstanding performance, scalability, and the ability to use standard business intelligence tools via SQL, while reducing costs. The utility company's data ingestion requirements were met as it streamed in 100,000 rows per second, and the system could handle aggregations on three levels, bucketing reads into high alarms and low alarms, querying data throughout the process, and maintaining performance with tight service level agreements. The SingleStore solution also enabled machine learning and AI capabilities, making it easier to implement and unify data for comparison, queries, and more complex operations. With SingleStore at its core, the utility company can now run analytics and reporting across their entire dataset using various tools and ad-hoc processes, scaling easily as their data grows to billions of rows.

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