The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 9 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
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…”
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.”
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.”
Freedman: Nobody runs RAG applications at hundreds of thousands of RPS
“Nobody is taking rag apps to that scale today.”
Freedman: New data workloads do not require new database architectures
“A new data workload does not require new database architecture.”
Freedman: Amazon Redshift is a fork of PostgreSQL 8
“Amazon Redshift is actually a fork of Postgres eight.”
Freedman: Timescale's insights service ingests 800 billion records daily
“That insights product is actually backed by a timescale service, much the same as any of our customer could do, that has more than a petabyte of data and currently is ingesting, I think last week I saw, eight hundred billion records a day.”