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November 10, 2017 01:21
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Understanding Prometheus Vs Other Monitoring System
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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 |
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