Raima Database Manager (RDM) vs. VictoriaMetrics Community

Works very well in applications designed for IoT devices where performance and footprint are of great importance.

Best suited, where your data is highly cardinal since it does a better job at maintaining it than other competitors. It is also well suited if you are using Prometheus and are looking for something that is less hungry for resources in comparison since the migration would be easier. But in case the company is small and wants a solution which is cheap and relies on built-in visualizations, it is not something that is suited. Although it takes fewer resources than Prometheus, it is still resource-intensive and attracts a high cost for maintenance.

Incentivized

• First of all the performance of RDM was superior compared to SQLite in my multi-user environment (about 200 users). The pricing was surprisingly good compared to other high-performance databases.
• Decreased time to market, a faster and more performant application overall and lower maintenance costs.
• They run on most RTOS and can be used in a cross-platform environment.

• Easy to configure and manage
• Ready to be configured at cloud and microservices
• Easy to scale vertically and horizontally

Incentivized

• I would like to see REST API with a GUI for administration

• Community and Eco system -> Although it supports the ecosystem of Prometheus, it is still troublesome for someone who's not using Prometheus
• Configuration is not so easy, especially if you are a beginner, you will struggle a bit. Even the documentation is not so welcoming for beginners
• Built-in Visualisation is bare minimal, leading almost everyone to use some other extension/tool

Incentivized

RDM performs way better than SQLite when the database is larger and has multiple users.

Prometheus only support PromQL and it is very complex with different exporter required for different requirement like Windowsexporter,linixexporter,sqlexporter etc but VictoriaMetrics is very simple comapred to it. VictoriaMetrics support both PromQL and MetricQL and can be integrated with Graphana easily. It is very easy to setup and learn compared to mutiple Prometheus exporters

Incentivized

• Decreased time to market
• Decreased maintenance and service costs on hardware.

• Lowered our infra costs in comparison with our older tools
• Need minimal effort for migration since it already supports Prometheus ecosystem
• Saved on Storage costs

Incentivized