Datadog vs Prometheus

May 18, 2023 | Author: Michael Stromann
Datadog and Prometheus are both popular monitoring and observability tools, but they differ in their approach and feature sets. Datadog is a comprehensive cloud-based monitoring platform that offers a wide range of monitoring capabilities, including infrastructure monitoring, application performance monitoring (APM), log management, and more. It provides a unified view of metrics, traces, and logs, and offers advanced analytics, alerting, and visualization features. Datadog is known for its ease of use and extensive integrations with various technologies and cloud platforms. On the other hand, Prometheus is an open-source monitoring system that focuses on collecting and storing time-series data. It provides powerful querying, alerting, and visualization capabilities, particularly suited for dynamic, containerized environments. Prometheus is highly flexible and allows users to define custom metrics and build complex monitoring solutions.

See also: Top 10 IT Monitoring software
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 has recently unveiled the launch of Zabbix 4.2. This latest version introduces a comprehensive monitoring system equipped with cutting-edge features, including data collection and processing, distributed monitoring, real-time problem and anomaly detection, alerting and escalations, visualization, and more. Zabbix 4.2 significantly enhances data collection capabilities, supporting diverse methods such as push and pull from various sources like JMX, SNMP, WMI, HTTP/HTTPS, RestAPI, XML Soap, SSH, Telnet, agents, scripts, and more. Notably, the integration with Prometheus has been added as a new feature, allowing native support for the PromQL language. Additionally, the utilization of dependent metrics empowers the Zabbix team to efficiently gather a vast amount of Prometheus metrics. By making a single HTTP call, all the required data can be retrieved and subsequently reused for relevant dependent metrics.

2015. Cloud monitoring service Datadog fetched $31M

Datadog, a platform that enables companies to monitor the performance of their diverse cloud deployments, has secured a new round of Series C funding amounting to $31 million. With notable customers such as Netflix, Spotify, EA, and Mercadolibre, the company has expanded its workforce from 25 employees last year to 75 employees presently. Moreover, Datadog has ambitious plans to double or even triple its headcount in the coming year. While facing competition from rivals like Boundary, Server Density, and Stackdriver (acquired by Google last year), Datadog continues to provide its unique value proposition.

Author: Michael Stromann
Michael is an expert in IT Service Management, IT Security and software development. With his extensive experience as a software developer and active involvement in multiple ERP implementation projects, Michael brings a wealth of practical knowledge to his writings. Having previously worked at SAP, he has honed his expertise and gained a deep understanding of software development and implementation processes. Currently, as a freelance developer, Michael continues to contribute to the IT community by sharing his insights through guest articles published on several IT portals. You can contact Michael by email