PRTG vs Zabbix
July 25, 2023 | Author: Michael Stromann
See also:
Top 10 IT Monitoring software
Top 10 IT Monitoring software
PRTG (Paessler Router Traffic Grapher) and Zabbix are both popular network monitoring tools, each with its unique features and capabilities. PRTG is known for its user-friendly interface and ease of setup, making it an ideal choice for users seeking a quick and straightforward monitoring solution. PRTG offers a wide range of pre-configured sensors, enabling users to monitor various aspects of their network, including bandwidth usage, server health, and application performance. On the other hand, Zabbix is an open-source platform that provides extensive customization and flexibility. It offers advanced monitoring options, including agentless and agent-based monitoring, making it suitable for complex network environments. Zabbix's robust features, such as triggers, alerting, and custom dashboards, cater to the needs of experienced IT professionals and system administrators.
See also: Top 10 IT Monitoring software
See also: Top 10 IT Monitoring software
PRTG vs Zabbix 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.