Skip to content

Instantly share code, notes, and snippets.

@ajeetraina
Created November 10, 2017 01:21
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save ajeetraina/5a4b376075779155d2640f65ea733e19 to your computer and use it in GitHub Desktop.
Save ajeetraina/5a4b376075779155d2640f65ea733e19 to your computer and use it in GitHub Desktop.
Understanding Prometheus Vs Other Monitoring System
Time Series DBMS
A Time Series DBMS is a database management system that is optimized for handling time series data:
each entry is associated with a timestamp.
For example, time series data may be produced by sensors, smart meters or RFIDs in the so-called Internet of Things,
or may depict the stock tickers of a high frequency stock trading system.
Time Series DBMS are designed to efficiently collect, store and query various time series with high transaction volumes.
Although time series data can be managed with other categories of DBMS (from key-value stores to relational systems), the specific challenges often require specialized systems.
E.g. a query like 'SELECT SENSOR1_CPU_FREQUENCY / SENSOR2_HEAT' joins two time series based on the overlapping areas of time for
each and outputs a single composite time series.
Important Examples
InfluxDB
RRDtool
Graphite
Kdb+
OpenTSDB
https://db-engines.com/en/system/Prometheus%3BSAP+HANA
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment