why aren't all 14 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
Opinion
Kulkarni: The big data era is over and the time series era has begun
“The big data era is over, and in fact, we're now entering the time series era for analyzing the past, understanding the present, and predicting the future.”
Insight
Ajay Kulkarni: All data is fundamentally time-series data
“It's actually because we believe that all data is fundamentally time series data.”
Assertion Not checkable as stated
Kulkarni: 3 TimescaleDB nodes outperformed 30 Cassandra nodes at 1/10th cost
“For time series data, three time scale nodes was able to outperform a 30 node Cassandra cluster at one 10th the cost.”
Assertion Not checkable as stated
Kulkarni: TimescaleDB delivers query speeds 100x-1000x faster than MongoDB
“Given the same hardware, we're seeing not just higher insert performance, but hundreds to thousands of times faster queries.”
Insight
Ajay Kulkarni: Non-time-series data storage discards valuable state information
“And in fact, I would argue that not storing your data as time series is throwing away valuable information, because then you're losing how your data changed in the past, how it would be changing today, and how it might change in the future.”
Assertion Supported
Kulkarni: Elastic filed for IPO making $160M in revenue, more than MongoDB
“I think Elastic, which is Filed Furnace for a IPO, is an example of that. I think they're already making a hundred and sixty million In revenue, which is more than Mongo's making already, which is crazy.”
Opinion
Kulkarni argues KDB fails to scale due to its proprietary Q language
“Where the problem with KDB is that, well, number one, it's not open source. But number two it, it's not really, it's not a sequel database, right? There's a really arcane language called Q that's built in APL, which is, you know, looks like Greek, right? And o…”
Assertion Supported
Time-series databases became the fastest-growing database category from 2016 to 2018
“So over the past 24 months, Time Series has emerged as the largest growing, fastest growing category of databases, ah, in the industry.”
Insight
Kulkarni: Open source is the dominant way to distribute software infrastructure
“I firmly believe that, you know, open source has become the, I think, the dominant way to distribute, you know, software infrastructure, you know, whether it's you know, something like Kubernetes, or it's a database.”
Insight
Kulkarni: Popularity of Kafka will not replace traditional databases
“Like, I don't think the popularity of Kafka means that, that, that databases, you know, go away.”
Assertion Not checkable as stated
TimescaleDB surpassed 1 million downloads in its first 18 months
“We've passed a million downloads in 18 months,”
Assertion Supported
Connected internet devices outnumbered humans in 2017, excluding phones and PCs
“The number of connected machines, these are machines connected to the internet, not including smartphones and computers last year outnumbered the number of human beings on this planet for the first time.”
Assertion Supported
Kulkarni: Web eventing and machine learning inferences are time-series data
“Web and mobile eventing data, again, is, is time series data, and even machine learning inferences are a source of time series data.”
Disclosure
Timescale pivoted from an IoT platform into a time-series database
“We have close to a 100,000 devices on our platform, and we need a place to store them, and, you know, and we tried a bunch of databases. It didn't work. Long story short, we just built our own time series database but we're still in the IoT business, and we fo…”