Grafana vs Zabbix

July 23, 2023 | Author: Michael Stromann
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Grafana
Grafana is the open source analytics & monitoring solution for every database.
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Zabbix
Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Grafana and Zabbix are both powerful monitoring and visualization tools used extensively in the IT industry, yet they serve distinct purposes. Grafana excels as a data visualization platform, offering a user-friendly interface that integrates seamlessly with various data sources, including databases, cloud services, and time series databases like Prometheus. Its focus on creating visually appealing dashboards and charts makes it ideal for data exploration and real-time monitoring. On the other hand, Zabbix is a comprehensive monitoring solution designed for network and infrastructure monitoring. With its robust feature set, Zabbix provides advanced functionalities for data collection, alerting, and performance analysis, making it a preferred choice for larger-scale, complex environments.

See also: Top 10 IT Monitoring software
Grafana 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.

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 stromann@liventerprise.com