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.

clear all ✕

why aren't all 12 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

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
Flux turns InfluxDB into a serverless execution platform for time series
“It essentially turns the database into a serverless execution platform for time series data. The idea is you can define any sort of custom logic that you want, inject it into the database, and it will periodically run that logic over the data that you're writi…”
Paul Dix Jun 12, 2019 ▶ 17:56 What's Next for Open-Source Time Series Data? // Paul Dix, Influx Data (FirstMark's Data Driven NYC)
Disclosure
Scholnick: Trinity invested in InfluxDB and moved them to San Francisco
“I invested in InfluxDB, and I think it's a great company, but we moved them to we moved them to San Francisco.”
Dan Scholnick Jan 25, 2016 ▶ 5:25 Investing in Data and A.I. // Dan Scholnick, Trinity Ventures (Hosted by FirstMark Capital)
Assertion Supported
Dix: InfluxDB operates with zero external software dependencies
“It's an open source time series database with no external dependencies.”
Paul Dix Apr 2, 2015 ▶ 7:38 Paul Dix, InfluxDB // Open-Source Time Series Database // Data Driven NYC (FirstMark Capital)
Assertion Supported
Go's garbage collection makes InfluxDB unsuitable for sub-millisecond trading
“This isn't, this is written in Go, so, which is a garbage collected language, so worst case response time can be worse than what you would want in that kind of setup.”
Paul Dix Apr 2, 2015 ▶ 20:20 Paul Dix, InfluxDB // Open-Source Time Series Database // Data Driven NYC (FirstMark Capital)
Assertion Not checkable as stated
No open-source projects focused on time-series databases in 2013
“So we looked at the open source time series space and found that nobody was really focused on it, and it seemed like A need that was emerging.”
Paul Dix Apr 2, 2015 ▶ 16:03 Paul Dix, InfluxDB // Open-Source Time Series Database // Data Driven NYC (FirstMark Capital)
Assertion Not checkable as stated
HFT firms use InfluxDB and atomic clocks for sub-300ns drift
“There are high frequency trading firms that use it to track latencies in their network infrastructure, and they actually have, like, atomic clocks deployed in their data centers, so they guarantee less than 300 nanoseconds of clock drift Worldwide.”
Paul Dix Jun 12, 2019 ▶ 10:42 What's Next for Open-Source Time Series Data? // Paul Dix, Influx Data (FirstMark's Data Driven NYC)
Assertion Supported
Dix: InfluxDB pairs a time series engine with an in-memory index
“So the InfluxDB is actually, it's kind of like two databases in one. So the time, there's the time series database, and that's useful for storing both regular and irregular time series. Regular is collected on fixed intervals, like once every 10 seconds. Irreg…”
Paul Dix Apr 2, 2015 ▶ 11:47 Paul Dix, InfluxDB // Open-Source Time Series Database // Data Driven NYC (FirstMark Capital)
Assertion Supported
Paul Dix: InfluxDB compresses measurement names and tags into eight-byte IDs
“When you send in a measurement name and a tag set, we compress all of that down into a single ID, a single eight-byte ID.”
Paul Dix Apr 2, 2015 ▶ 17:55 Paul Dix, InfluxDB // Open-Source Time Series Database // Data Driven NYC (FirstMark Capital)
Disclosure
Dix: InfluxDB is targeting IoT consumer and industrial sensor data
“And then the last one that we're really targeting is sensor data. So this is IOT, both consumer and industrial, right? You're thinking power generation, oil and gas wells, and then on the consumer side, you know, fitness trackers to smart home stuff, all that …”
Paul Dix Apr 2, 2015 ▶ 1:34 Paul Dix, InfluxDB // Open-Source Time Series Database // Data Driven NYC (FirstMark Capital)
Disclosure
SurrealDB founders relied on four databases for prior golf analytics platform
“In building this, we were building with InfluxDB, OrientDB, DynamoDB and MySQL.”
Jaime & Tobie Morgan Hitchcock Mar 28, 2023 ▶ 0:56 Not Just Another Cloud Database | SurrealDB Co-Founders Jaime & Tobie Morgan Hitchcock
Assertion Not checkable as stated
Dix: Most InfluxDB users use Grafana for data visualization
“And we find that most of the people using InfluxDB use this to visualize their data and create dashboards for all the data that's going into Influx.”
Paul Dix Apr 2, 2015 ▶ 14:29 Paul Dix, InfluxDB // Open-Source Time Series Database // Data Driven NYC (FirstMark Capital)
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