InfluxDB and Nagios Core are competing in the field of data and network monitoring. InfluxDB seems to have the upper hand due to its efficient time-series data handling and scalability, while Nagios Core is favored for its robust alerting capabilities and detailed monitoring.
Features: InfluxDB supports high ingestion speed, provides a versatile querying language, and integrates seamlessly with visualization tools such as Grafana. It efficiently manages large volumes of time-series data. Nagios Core offers extensive server, application, and network monitoring with a superior alerting mechanism for customizable notifications and escalations.
Room for Improvement: InfluxDB could improve its user interface and expand its built-in data visualization tools. Enhancing ease of use for non-technical users would be beneficial. More detailed documentation and tutorials for beginners can also aid in ease of adoption. Nagios Core can simplify its installation process and reduce configuration complexity. Providing more intuitive user interfaces and enhancing support for new users could also be beneficial, along with better integration with modern IT ecosystems.
Ease of Deployment and Customer Service: InfluxDB offers straightforward deployment with cloud-hosted options simplifying the setup process. It requires minimal configuration and scalable solutions. Customer service is proactive with robust support. Nagios Core demands significant initial configuration with expertise required but offers an extensive community support network. It relies heavily on community-driven forums and documentation for user support.
Pricing and ROI: InfluxDB offers flexible cloud pricing options allowing faster ROI through efficient data handling and scalability. It has a straightforward pricing model that supports various application needs. Nagios Core is a cost-effective solution mainly due to its open-source nature, though complexities in deployment may require additional investment in skilled personnel. Direct ROI is substantial through its comprehensive monitoring capabilities for those able to fully utilize the system.
InfluxDB reduced my time to show data without any interruption, also reducing the number of people needed to manage the project; it is very good to have InfluxDB in my project.
The main challenge with InfluxDB, which is common with all databases, was handling very high throughput systems and high throughput message flow.
We’ve scaled on volume with seven years of continuous data without performance degradation.
InfluxDB's scalability is fine for me; I gather a lot of metrics and have not had any issues.
The solution is scalable.
It serves as the backbone of our application, and its stability is crucial.
It is very stable, with no reliability or downtime in InfluxDB.
After integrating Kafka, it never broke again, as Kafka handled messages and metrics appropriately, decreasing the message throughput.
I tried many other solutions at work, however, in terms of Nagios, I haven't seen any disruption or downtime.
InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying.
There is room for improvement, such as regarding backups and enhanced security through other types of authentication or encrypted data in TLS.
If better documentation were available, allowing me to find everything, including specific port numbers and procedures, it would have been much easier, and I wouldn't have had to spend time researching how to integrate InfluxDB with my Kafka producers and consumers.
We use the open-source version of InfluxDB, so it is free.
My experience with pricing, setup cost, and licensing for InfluxDB was great, as I did not use any license.
It helps me maintain my solution easily because it is very reliable, so we didn't face any performance issues or crashes regarding our queries; we can get the results very fast.
InfluxDB has positively impacted my organization by solving a monitoring problem that we had, coming up with a solution since we did not have any monitoring system, allowing us to build one from scratch.
InfluxDB’s core functionality is crucial as it allows us to store our data and execute queries with excellent response times.
You can monitor anything.
| Product | Market Share (%) |
|---|---|
| Nagios Core | 1.9% |
| InfluxDB | 0.3% |
| Other | 97.8% |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 3 |
| Large Enterprise | 8 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 22 |
InfluxDB is open-source software that helps developers and enterprises alike to collect, store, process, and visualize time series data and to build next-generation applications. InfluxDB provides monitoring and insight on IoT, application, system, container, and infrastructure quickly and easily without complexities or compromises in scale, speed, or productivity.
InfluxDB has become a popular insight system for unified metrics and events enabling the most demanding SLAs. InfluxDB is used in just about every type of industry across a wide range of use cases, including network monitoring, IoT monitoring, industrial IoT, and infrastructure and application monitoring.
InfluxDB offers its users:
InfluxDB Benefits
There are several benefits to using InfluxDB . Some of the biggest advantages the solution offers include:
Reviews from Real Users
InfluxDB stands out among its competitors for a number of reasons. Two major ones are its flexible integration options and its data aggregation feature.
Shalauddin Ahamad S., a software engineer at a tech services company, notes, “The most valuable features are aggregating the data and the integration with Grafana for monitoring.”
This is IT infrastructure monitoring's industry-standard, open-source core. Free without professional support services.
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