Prometheus is a monitoring system for infrastructure that was designed to be fast, memory-efficient, and easy to use. On the other hand, InfluxDB is a distributed time-series database that is used for collecting data from different nodes in a system.
In this article, we are going to compare Prometheus and Influxdb. Both of these systems have their own strengths and weaknesses, but overall they are both effective monitoring tools. If you are looking for a system that can monitor your database servers, then Prometheus is a good option. If you are looking for a system that can monitor your entire infrastructure, then Influxdb is a better choice.
What exactly is Prometheus?
Prometheus is a time-series database and monitoring tool that is open source. Prometheus gives its users sophisticated query language, storage, and visualization tools. It also includes a number of client libraries for easy interaction. Furthermore, Prometheus may be combined with a wide range of other systems (for example, Docker, StatsD, MySQL, Consul, etc.)
Prometheus can be great for monitoring as long as the environment does not exceed 1000 nodes. Prometheus + Grafana = best ecosystem
What is InfluxDB?
InfluxDB is what it sounds like. It is the name of the open-source time-series database developed by InfluxData. It is frequently used to monitor applications, infrastructure, and the Internet of Things, as well as for data analysis. TICK-stack is InfluxDB’s own ecosystem, made up of four components: Telegraf, InfluxDB, Chronograf, and Kapacitor. InfluxDB is the foundation of this stack. While Telegraf collects data, Kapacitor provides resources for real-time data processing, and Chronograf is the mechanism for displaying and interacting with the other components of the stack, its primary aim is to store data.
When it comes to storing monitoring metrics, InfluxDB excels (e.g. performance data). If you need to store different sorts of data, InfluxDB is not the best option (like plain text, data relations, etc.)
Let us look at the key differences between the two.
|Data Gathering||The system InfluxDB is based on is a push-based system. It requires an application to push data into InfluxDB on a regular basis.||Prometheus is a system that operates on the principle of pull. The metrics are published by an application at a certain endpoint and Prometheus retrieves them on a regular basis.|
|Storage||InfluxDB is significantly more ideal for event logging.||Prometheus is primarily centered on metrics tracking.|
|Extensibility and Plug-ins||While InfluxDB has a lot of integrations, it doesn’t possess as many as Prometheus.||Prometheus’ key benefit is its widespread community support, which stems from its CNCF-accredited project status. Many apps, particularly cloud-native applications, already support Prometheus.|
|Case Studies||While InfluxDB can support monitoring, it is not as well known as Prometheus for this purpose. As a result, you may have to develop your own integrations. If you want to do more than a mere monitoring tool, InfluxDB is a fantastic solution for storing time-series data, such as data from sensor networks or data used in real-time analytics.||Prometheus was designed for monitoring, specifically distributed, cloud-native monitoring. It shines in this category, with several beneficial integrations with current products.|
|Query language||InfluxDB has its own query language known as InfluxQL. It is extremely similar to regular SQL. InfluxQL can be simpler for those who have already worked with SQL.||Prometheus has a querying functional language called PromQL.
PromQL is actually incredibly simple and powerful. It was created primarily for monitoring, alerting, and graphing. It is less verbose than InfluxQL and offers a variety of useful functions
|Community||InfluxDB, despite its popularity, needs to improve on community support in comparison to Prometheus.||Prometheus is an open-source project with a huge community of users that can rapidly resolve your queries. Having a big network of support is an added benefit since there is a high probability that the challenges one is having might previously have been encountered by someone in the community.|
|Scaling||Since the commercial section of Influx DB is distributed, there will be many interconnected nodes. As a result, as the server scales up, we don’t have to worry about scaling nodes. Thus, Influxdb nodes might be considered redundant while handling complicated loads.||When the load rises, the monitoring Prometheus servers require scaling as well.
This is due to the fact that the Prometheus server is independent. Thus, the Prometheus server works great for the simpler load.
When it comes to storing monitoring metrics, InfluxDB excels (e.g. performance data). When compared to Prometheus, InfluxDB employs a monolithic data storage method and consumes more disk space. It’s best used for logging events.
If you’re deciding between Prometheus and Influxdb for time series data monitoring, you can consider the features discussed in this article and select which one to employ based on your needs. When it comes to monitoring services for time series data, both platforms are highly popular among businesses. While Prometheus and InfluxDB are fairly identical technologies, their key distinction is that they support different use cases. Prometheus includes a number of capabilities that make it an excellent tool for monitoring metrics, visualizing, and alerting. InfluxDB works great as an event logging database. Prometheus is a better option because it offers more integrations and functionality. However, Influxdb is a better option if you’re looking for something particular for IoT, sensors, and other analytics.