KEEPING UP IN A DATA-INTENSIVE WORLD WITH SINGLESTORE
summary
SingleStore claims a single engine for transactions, analytics and full‑text search by combining an in‑memory row store with an SSD transaction log, a seekable column store and object storage, plus cloud features like separation of storage and compute and point‑in‑time restore. Real customers show it at scale: Akamai benchmarks 10M upserts/sec, Uber runs lookups with a 2 ms SLA and Bank of America uses it for 50 ms fraud checks. Fathom drops DynamoDB and Redis after migrating.
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chapters (6)
- 0:00Start
- 13:57Data-Intensive Applications are Everywhere
- 18:35Traditional Solutions Don't Work
- 21:24The Single Database for Data-Intensive Applications
- 30:03Adding Analytics and Durability
- 33:08Separating Compute and Storage
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