InfluxDB

“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…”

“It's an open source time series database with no external dependencies.”

“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.”

“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.”

“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 …”

“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.”

“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.”

“I invested in InfluxDB, and I think it's a great company, but we moved them to we moved them to San Francisco.”

“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.”

“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…”

“In building this, we were building with InfluxDB, OrientDB, DynamoDB and MySQL.”

“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…”