Prediction Not checkable as stated
Paul Dix: Nobody will ever make the Lisp programming language popular
“Lisp, we're not going to do because Paul Graham and Rich Hickey couldn't make Lisp popular, and neither will we. Nobody will.”
Insight
Why traditional databases fail at time series workloads
“And actually no
Regular database is designed with this kind of workload in mind.
Databases, for the most part, assume that you want to keep your data around for a very long time.
So, these kind of unique aspects of time series make it kind of a degenerate case…”
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…”
Assertion Not checkable as stated
Paul Dix: Telegraf is likely on tens to hundreds of millions of servers
“This project actually is our most popular open source project by far. We don't have any sort of tracking on it right now, but I would estimate that it's probably deployed on tens of millions of servers across the world, if not hundreds of millions at this poin…”
Disclosure
InfluxData is building PromQL support directly into Flux
“And we also are in the middle of building in support for PromQL, the Prometheus query language.”
Insight
DevOps metrics and IoT sensor data spaces look surprisingly similar
“And those, the sensor data and the DevOps data spaces, they look surprisingly similar. Because when you think about DevOps data, and you think about the metrics that you're collecting, the sensors are just software that you have on your servers. Whereas in sen…”
Insight
Building analytics apps in 2015 resembles web development in 1998
“Building an application with an analytics component today is like building a web application in 1998. You spend months and millions of dollars building infrastructure before you get to the actual thing you want to build that's driving user value, right?”
Assertion Supported
Dix: InfluxDB operates with zero external software dependencies
“It's an open source time series database with no external dependencies.”
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.”
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.”
Assertion Not checkable as stated
An InfluxData customer deployed Telegraf to 45,000 servers in a single day
“Our, we've had customers, like, deploy it to 45,000 servers in a single day, so.”
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.”
Disclosure
InfluxDB 2.0 unifies the TICK stack into a single database
“So, my idea was within FluxDB two dot O, we could collapse these things into one cohesive whole, and have one language that ties all of it together.”
Disclosure
Flux combines a query optimizer, VM, and Turing-complete scripting language
“Flux is basically a new language that we're creating for two dot O. It's a combination of a bunch of things. It's basically a query planner, it's a query optimizer, but it's also a Turing complete scripting language, which includes a virtual machine, And a que…”
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 …”
Insight
Dix: Ship code to where data lives, not data to code
“This is the key thing that we learned from Hadoop and Google's MapReduce framework, which is You want to ship the code to where the data lives, not the other way around.”
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…”
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.”
Insight
Paul Dix: Regular time series data summarizes irregular event data
“The thing that's interesting about irregular time series data is that you can actually induce a regular time series from irregular time series data. Basically, a regular time series is just a summary of an irregular Series.”
Disclosure
Dix built time series databases on Cassandra twice before InfluxDB
“I've actually built a quote unquote time series database on top of Cassandra on two separate occasions. One for a fintech company and another for a metrics SAS developer monitoring thing.”
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.”
