Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
The technical support by Gigamon Deep Observability Pipeline is good because it has a local architect in my area.
My advice for people who are new to Grafana or considering it is to reach out to the community mainly, as that's the primary benefit of Grafana.
I do not use Grafana's support for technical issues because I have found solutions on Stack Overflow and ChatGPT helps me as well.
I very rarely get in touch with technical support as we don't have that option.
In assessing Grafana's scalability, we started noticing logs missing or metrics not syncing in time.
In terms of our company, the infrastructure is using two availability zones in AWS.
When something in their dashboard does not work, because it is open source, I am able to find all the relative combinations that people are having, making it much easier for me to fix.
Once you get to a higher load, you need to re-evaluate your architecture and put that into account.
The product has been stable.
Regarding the clarity of the official documentation for installation, I think the official documentation, which has something called Alloy, the Alloy integration, is not that clear.
I would give it a ten if it were much simpler for users who just want to get a simple objective in Grafana and are not experienced with technical configuration.
I would want to see improvements, especially in the tracing part, where following different requests between different services could be more powerful.
The costs associated with using Grafana are somewhere in the ten thousands because we are able to control the logs in a more efficient way to reduce it.
In an enterprise setting, pricing is reasonable, as many customers use it.
The Pipeline's Comprehensive Insights into data flows have helped improve operational efficiency and security.
Users can monitor metrics with greater ease, and the tool aids in quickly identifying issues by providing a visual representation of data.
The most valuable feature is Grafana's ability to plug in data or events and monitoring data from any kind of source.
Its alerting feature is effective because it allows me to set thresholds to send an email if a certain threshold is met.
| Product | Market Share (%) |
|---|---|
| Grafana | 5.2% |
| Gigamon Deep Observability Pipeline | 0.4% |
| Other | 94.4% |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 24 |
Gigamon Deep Observability Pipeline is a comprehensive network visibility solution that provides real-time insights into network traffic. It offers SSL inspection and mobile network monitoring for traffic monitoring purposes. The solution optimizes networks, aids in security inspection, and improves firewall performance. It is praised for its performance, power, straightforward integration, stability, and ease of initial setup.
With Gigamon, organizations can gain complete visibility into their network traffic, identify potential threats, and take proactive measures to prevent them. The solution is ideal for organizations of all sizes, including enterprises, service providers, and government agencies.
Grafana is an open-source visualization and analytics platform that stands out in the field of monitoring solutions. Grafana is widely recognized for its powerful, easy-to-set-up dashboards and visualizations. Grafana supports integration with a wide array of data sources and tools, including Prometheus, InfluxDB, MySQL, Splunk, and Elasticsearch, enhancing its versatility. Grafana has open-source and cloud options; the open-source version is a good choice for organizations with the resources to manage their infrastructure and want more control over their deployment. The cloud service is a good choice if you want a fully managed solution that is easy to start with and scale.
A key strength of Grafana lies in its ability to explore, visualize, query, and alert on the collected data through operational dashboards. These dashboards are highly customizable and visually appealing, making them a valuable asset for data analysis, performance tracking, trend spotting, and detecting irregularities.
Grafana provides both an open-source solution with an active community and Grafana Cloud, a fully managed and composable observability offering that packages together metrics, logs, and traces with Grafana. The open-source version is licensed under the Affero General Public License version 3.0 (AGPLv3), being free and unlimited. Grafana Cloud and Grafana Enterprise are available for more advanced needs, catering to a wider range of organizational requirements. Grafana offers options for self-managed backend systems or fully managed services via Grafana Cloud. Grafana Cloud extends observability with a wide range of solutions for infrastructure monitoring, IRM, load testing, Kubernetes monitoring, continuous profiling, frontend observability, and more.
The Grafana users we interviewed generally appreciate Grafana's ability to connect with various data sources, its straightforward usability, and its integration capabilities, especially in developer-oriented environments. The platform is noted for its practical alert configurations, ticketing backend integration, and as a powerful tool for developing dashboards. However, some users find a learning curve in the initial setup and mention the need for time investment to customize and leverage Grafana effectively. There are also calls for clearer documentation and simplification of notification alert templates.
In summary, Grafana is a comprehensive solution for data visualization and monitoring, widely used across industries for its versatility, ease of use, and extensive integration options. It suits organizations seeking a customizable and scalable platform for visualizing time-series data from diverse sources. However, users should be prepared for some complexity in setup and customization and may need to invest time in learning and tailoring the system to their specific needs.
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