Assertion Supported AI assessment confidence: 95% certainty 4/5 debate potential 1/5

Freedman: NYC grew from 11 to 144 unicorns between 2015 and 2022

Mike Freedman · Turbocharging Postgres for Time Series & Vectors — Timescale CTO Mike Freedman | Data Driven NYC · Sep 25, 2024 · at 1:02

Mike Freedman, CTO of Timescale, opens his keynote at Data Driven NYC by highlighting New York City's rise as a major technology hub.

0:00 / 0:05exact quote · 5.7s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“From 2015 to 2022, New York grew from 11 to a 144 unicorns.”

quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →

More from Mike Freedman

Assertion Not checkable as stated
Freedman: Timescale outperforms vanilla Postgres, InfluxDB, and AWS Timestream
“In fact, not only is Timescale a better database for time series than vanilla Postgres, including compared to both Amazon's RDS and Aurora, but it is also better than custom-built proprietary time series databases like InfluxDB and AWS Timestream, even with th…”
Mike Freedman Sep 25, 2024 ▶ 6:08 Turbocharging Postgres for Time Series & Vectors — Timescale CTO Mike Freedman | Data Driven NYC
Assertion Supported
Freedman: pgvectorscale is 28 times faster than Pinecone for high recall
“Compared to one of the leading vector-only databases, Pinecone, a PG vector scale is 28 times faster for a high recall scenario.”
Mike Freedman Sep 25, 2024 ▶ 9:56 Turbocharging Postgres for Time Series & Vectors — Timescale CTO Mike Freedman | Data Driven NYC
Assertion Supported
Freedman: pgvectorscale on AWS is 75% cheaper than Pinecone
“The monthly costs of running such a PG vector scale deployment on AWS is 75% less expensive than PyIncome.”
Mike Freedman Sep 25, 2024 ▶ 10:22 Turbocharging Postgres for Time Series & Vectors — Timescale CTO Mike Freedman | Data Driven NYC
Assertion Not checkable as stated
Freedman: Nobody runs RAG applications at hundreds of thousands of RPS
“Nobody is taking rag apps to that scale today.”
Mike Freedman Sep 25, 2024 ▶ 20:00 Turbocharging Postgres for Time Series & Vectors — Timescale CTO Mike Freedman | Data Driven NYC
Insight
Freedman: New data workloads do not require new database architectures
“A new data workload does not require new database architecture.”
Mike Freedman Sep 25, 2024 ▶ 15:24 Turbocharging Postgres for Time Series & Vectors — Timescale CTO Mike Freedman | Data Driven NYC
Assertion Supported
Freedman: Amazon Redshift is a fork of PostgreSQL 8
“Amazon Redshift is actually a fork of Postgres eight.”
Mike Freedman Sep 25, 2024 ▶ 16:31 Turbocharging Postgres for Time Series & Vectors — Timescale CTO Mike Freedman | Data Driven NYC
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 400 conversations transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.