Natively Engineered for AI: The Evolution
summary
SingleStore traces a concrete engineering path from MemSQL to a multimodel engine: row store plus column store introduced 2016, vectors added 2017, patented Universal Storage that auto-places row vs column, and a three‑tier stack (in‑memory, columnar, object). Claims include single-digit millisecond at petabyte scale with multimodal workloads, ProMax with vector indices and compute separation, 60% revenue into R&D, $146M raised in 2022, a Snowflake partnership, Brightflow acquisition powering Single Connect, and real customers retiring 3–7 databases in ~18 months.
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chapters (14)
- 0:00Welcome and introduction
- 1:09Conference purpose and AI focus
- 3:17Five years at SingleStore journey
- 8:00SingleStore evolution and milestones
- 12:19Innovation and R&D investment
- 16:40Simplicity as ultimate sophistication
- 19:12Snowflake partnership announcement
- 22:47Single Connect and Brightflow acquisition
- 24:33Tenets of SingleStore's foundation
- 25:37AI evolution and future impact
- 33:13AI driving data and future trends
- 34:35Database innovations for AI era
- 38:28AI's promise and next five years
- 40:16Hairy audacious goals and legacy
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