How teams scaled on object storage: 2 real case studies
2 of the 73 engineering write-ups in our database mention Object storage in their stack. They come from 2 companies (Axiom and Datadog) and were published between 2022 and 2025. 1 of the 2 state concrete scale numbers, for example "178.6 billion rows/sec" (Axiom). Each card below links to our short summary and the original post.
Axiom · 2025
Haydex: From Zero to 178,600,000,000 rows a second in 30 days
Axiom turned a failed filter-index prototype into a production system for its event store, letting queries skip data and scan 178.6B rows per second.
Datadog · 2022
Introducing Husky, Datadog's third-generation event store
Datadog's Husky is a distributed, schemaless column store that keeps event data on object storage.
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