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How Glooko Turns 3B+ Data Points/Month into Lifesaving Diabetes Healthcare with Tiger Data

How Glooko Turns 3B+ Data Points/Month into Lifesaving Diabetes Healthcare with Tiger Data

The Good Tech Companies

April 1, 20265m 41s

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Show Notes

This story was originally published on HackerNoon at: https://hackernoon.com/how-glooko-turns-3b-data-pointsmonth-into-lifesaving-diabetes-healthcare-with-tiger-data.
See how Glooko migrated 100M+ daily glucose readings to Tiger Cloud, cutting costs 40%, boosting query speed 480x, and scaling patient analytics.
Check more stories related to cloud at: https://hackernoon.com/c/cloud. You can also check exclusive content about #time-series-database, #postgres-for-healthcare, #healthcare-data-migration, #hipaa-compliant-cloud-storage, #real-time-data-ingestion, #time-series-data-optimization, #healthcare-analytics, #good-company, and more.

This story was written by: @tigerdata. Learn more about this writer by checking @tigerdata's about page, and for more stories, please visit hackernoon.com.

Glooko, a diabetes monitoring platform for 1M+ patients, migrated its largest time-series medical data workloads from a document database to Tiger Cloud. The move reduced costs by 40%, improved query speeds 480x, and simplified architecture. By unifying ingestion, storage, and queries in a Postgres-based time-series system, Glooko now scales efficiently while supporting real-time patient analytics.

Topics

time-series-databasepostgres-for-healthcarehealthcare-data-migrationhipaa-compliant-cloud-storagereal-time-data-ingestiontime-series-data-optimizationhealthcare-analyticsgood-company