Datadog vs Prometheus
Last updated: April 09, 2019
Datadog is a monitoring service for IT, Operations and Development teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
An open-source monitoring system with a dimensional data model, flexible query language, efficient time series database and modern alerting approach.
Datadog vs Prometheus in our news:
2019. Zabbix 4.2 adds built-in support of Prometheus data collection
Zabbix Team announced the release of Zabbix 4.2. The latest release of Zabbix is packed with modern monitoring system for: data collection and processing, distributed monitoring, real-time problem and anomaly detection, alerting and escalations, visualization and more. The new version is able to collect data in many different ways (push/pull) from various data sources including JMX, SNMP, WMI, HTTP/HTTPS, RestAPI, XML Soap, SSH, Telnet, agents, scripts and other data sources, with Prometheus being the latest addition to the bunch. Now the 4.2 release will offer an integration with the exporters using native support of PromQL language. Moreover, the use of dependent metrics will give the Zabbix team ability to collect massive amounts of Prometheus metrics in a highly efficient way: this way they get all the data using a single HTTP call and then just reuse it for corresponding dependent metrics.
2015. Cloud monitoring service Datadog fetched $31M
Datadog, which promises to let companies see how well their various cloud deployments are performing, now has $31 million in fresh Series C funding. The company, which claims Netflix, Spotify, EA, and, Mercadolibre as customers, has 75 employees now, up from 25 last year, and plans to double or triple headcount next year. Datadog faces competitors including Boundary, Server Density and Stackdriver (which was purchased by Google last year).