Ajay Kulkarni: Non-time-series data storage discards valuable state information
Ajay Kulkarni · 3 Heretical Ideas on the Future of Data // Ajay Kulkarni, TimescaleDB (FirstMark's Data Driven NYC) · Sep 17, 2018 · at 11:05
Ajay Kulkarni is the co-founder and CEO of TimescaleDB, addressing attendees at Data Driven NYC regarding database design and data retention practices.
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“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.”
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More from Ajay Kulkarni
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.”
Ajay Kulkarni: All data is fundamentally time-series data
“It's actually because we believe that all data is fundamentally time series data.”
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.”
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.”
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.”
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…”