dataloopio

6 ms·

1.
Kubernetes vs. mesos vs. swarm(blog.dataloop.io)
3 points by dataloopio 10y ago|0 comments
2.
by dataloopio 10y ago
DalmatinerDB, InfluxDB, Prometheus and Graphite each claim their numbers based on similar benchmark methods. The results range from 500k/sec to a couple of million metrics /sec. Druid comparatively, for the same benchmark would be
3.
by dataloopio 10y ago
Those sources contain literally no technical detail. At 1.1 million metrics per second is that a 40 node druid cluster?
4.
by dataloopio 10y ago
Most benchmarks are given a colour for reliability and link to repeatability.
5.
by dataloopio 10y ago
No bias there then
6.
by dataloopio 10y ago
Can you point me to a source for 'routinely stream millions of events per second into druid'? While it is true that druid is great at querying billions of rows per second it's not very good at ingress. Here is a mailing list
7.
by dataloopio 10y ago
Broader comparison of the facts: https://docs.google.com/spreadsheets/d/1sMQe9oOKhMhIVw9WmuCE... Also a blog comparison: https://blog.dataloop.io/top10-open-source-time-series-datab... From readin
8.
by dataloopio 10y ago
It's in the spreadsheet. I've not tried it and there wasn't much info available at the time of writing the blog.
9.
by dataloopio 10y ago
Hi, I'm the original author. I think that GCE instance has 2Gb per core but I'd need to check. It wasn't bottlenecked on network bandwidth though. The other benchmarks are linked in the spreadsheet to their respective details
10.
Benchmarking open source Time-Series databases(blog.dataloop.io)
4 points by dataloopio 10y ago|0 comments
11.
A comparison table of every open-source Time Series database(docs.google.com)
3 points by dataloopio 10y ago|0 comments
12.
by dataloopio 10y ago
I had a look at Citus when evaluating time series databases and the documents said that work was still under way on masterless setup for faster ingestion (up to 500k metrics /sec). https://docs.citusdata.com/en/v5.
13.
DalmatinerDB: A fast, distributed metric store has been released on Linux(blog.dataloop.io)
7 points by dataloopio 10y ago|0 comments
14.
by dataloopio 10y ago
The raw data in the spreadsheet, which I have continued to update and is now up to 15 databases with 30 characteristics each, is indeed applicable to both people who want to pick up a database and use it in their monitoring stack, or who wa
15.
by dataloopio 10y ago
Hi, the wording could probably use some tidying up around that part and I'm open to suggestions. However, I do think it's a big problem with columnar based time series databases. When somebody wants to query for a few points match
16.
Time Series Database Top10 Updated: Atlas, Heroic, Chronix, Hawkular and Warp 10(blog.dataloop.io)
8 points by dataloopio 10y ago|0 comments
17.
by dataloopio 10y ago
Hi, that is a good point. It was all written yesterday so is pretty up to date :) I've added some dates to the top of the blog post. Thanks!
18.
by dataloopio 10y ago
The blog discusses storage sizes with very similar maths examples. DalmatinerDB uses 1 byte of storage per point compared to at the top end Elasticsearch using 22 bytes per point. Build vs buy is an age old discussion. You won't convin
19.
by dataloopio 10y ago
Spreadsheet link: https://docs.google.com/spreadsheets/d/1sMQe9oOKhMhIVw9WmuCE... Blog Link: https://blog.dataloop.io/top11-open-source-time-series-datab...
20.
A discussion about Time Series databases
3 points by dataloopio 10y ago|1 comments
21.
Comparison of opensource time series db's(blog.dataloop.io)
26 points by dataloopio 10y ago|9 comments
22.
Dataloop now supports Prometheus metrics(blog.dataloop.io)
1 points by dataloopio 10y ago|0 comments
23.
by dataloopio 11y ago
I know quite a few companies running ZFSOL in production. In terms of our own experiences I blogged about them here: https://dataloopio.wordpress.com/2016/03/07/zfs-on-linux/
24.
by dataloopio 11y ago
Sorry, blog corrected.
25.
by dataloopio 11y ago
Some more info here: https://dataloopio.wordpress.com/2016/03/21/playing-with-dal...
26.
Playing with Dalmatiner DB (Time Series Database)(dataloopio.wordpress.com)
1 points by dataloopio 11y ago|0 comments
27.
Ops Dashboard Examples(blog.dataloop.io)
2 points by dataloopio 11y ago|0 comments
28.
How we scaled our monitoring platform(blog.dataloop.io)
1 points by dataloopio 11y ago|0 comments
29.
Throwing the baby out with the bathwater(blog.dataloop.io)
1 points by dataloopio 11y ago|0 comments
30.
What we learnt talking to 60 companies about monitoring(blog.dataloop.io)
2 points by dataloopio 13y ago|0 comments

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