Grafana Reviews

We use the tool to monitor metrics on dashboards. 

It's easy to make changes. We can put many dashboards in one place. There's no delay in showing data - what you see on Grafana matches the server metrics.

Grafana could improve by having its own query language. Currently, it uses languages like Prometheus or InfluxDB, which not everyone knows. Their query language should be easier.

I have been using the product for four years. 

Stability-wise, our on-premises version was mixed, but the cloud version is stable.

My company has 2000 users. 

Setting up Grafana is moderately difficult, especially writing query languages and custom metrics. Creating custom metrics requires writing new query language at the server level, which can be challenging.

If you want to use Grafana for the first time, I'd say you can. It's cost-effective compared to other products like Datadog. But if cost isn't an issue, I'd recommend Datadog. For beginners, learning to use Grafana is moderately difficult. I rate it a seven out of ten. 

The solution is used for monitoring the live monitoring of our load test.

The most valuable feature of the solution is the UI dashboard because we need to create a dashboard on Grafana to monitor our data.

The solution's integration with other tools needs improvement.

I would like the ability to download my results into any format in order to share the information with my clients.

I have been using the solution for over three years.

We currently have over 50 people using the solution.

The initial setup is straightforward. The deployment usually takes one and a half hours.

I give the solution an eight out of ten.

We use it internally to monitor both hardware and virtual machines running on our servers and then generate reports based on the monitoring data.

One standout feature is its open-source nature. It excels in providing comprehensive details when there are downtimes or fluctuations, offering thorough reports. From a cost perspective, it stands out positively, especially when compared to other tools, given its robust functionality as an open-source solution.

There is a need for improvement in automating daily monitoring reports, especially when alerts are triggered due to system downtimes or fluctuations. This enhancement would make the monitoring tool more efficient and streamlined. While it does produce reports, the quality might not be optimal.

I have approximately two years of experience working with it.

I haven't encountered any issues or bugs while using it, and it has been stable throughout.

Numerous users, ranging from five hundred to a maximum of three hundred, frequently engage in upscaling and downscaling activities. The system handles this well, and the performance remains stable, even when multiple users log in and out simultaneously.

The initial setup is not overly complicated nor excessively straightforward. It's a manageable process that involves following a step-by-step approach.

It's free of cost; it operates as an open-source tool.

It is recommended for use, and in parallel, WebEx is another open-source tool. Both are straightforward to deploy on a Linux server. The process is simple and similar to each other, and there's no need for any complex procedures. Deploying these monitoring tools on a Linux server is hassle-free. Overall, I would rate it eight out of ten.

Our team used a Grafana for training.

The comparison feature is very good. 

The service dashboard is very hard and needs improvement. 

I have been using Grafana for six to seven years. 

It is a stable solution. 

The solution was deployed with Kubernetes. The deployment took an hour to complete. It is not difficult to maintain as Kubernetes gives easy updates. 

I am using the open source version. 

I rate the overall solution an eight out of ten. 

We use Grafana to visualize IT infrastructure monitoring data. We have real-time, historical, and trend data that we can visualize in a flexible manner using Grafana. We use Zabbix to collect, process, and store the data. Zabbix has its own inbuilt visualization widgets, dashboards, and graphs, however, Grafana adds more flexibility. We have integrated Zabbix with Grafana using the Zabbix API which gives access to almost all components of the Zabbix Software.

Our environment is on-premises so we have both Zabbix and Grafana locally installed.

Grafana has greatly improved the way we visualize monitoring data. Now, every team member from directors, managers, sales representatives, to technical engineers can be granted access to custom dashboards relevant to their line of work.

With the latest Grafana versions, reports can be generated from dashboards to update senior management officers. 

The dashboards are not only intuitive and insightful, but they are also beautiful so it makes monitoring and data visualization more enjoyable.

Since it can easily be integrated with other software, having that important part of data processing taken care of makes technical teams more focused on improving data sources and enriching the data.

The ability to create almost all kinds of graphs and visualize any kind of information in an appealing way is extremely useful to us.

The customizability of dashboards and widgets is impressive.

The flexibility in integration with other tools as data sources of data enriching tools has been great.

It is open-source, so it saves a lot on costs and the community is friendly and powerful.

The product can be used to cater to multiple use cases. Almost any kind of visualization is possible with Grafana and all dashboards are configurable.

The ability to import and export dashboards saves us a lot of time for popular systems and dashboards.

The lack of native ability to aggregate data from multiple sources could be improved. As it is not a data store, it is challenging to correlate data from multiple data sources. Adding an out-of-box capability to aggregate and correlate different types of data would make Grafana even better.

It is limited on the reporting type supported, which is important for managerial-level officers who want reports that are either general or specific. Improvements in that area would be great.

Machine learning capabilities are still limited. This is an improvement in that area is needed.

Performance improvement when querying and searching textual data would be beneficial.

I've used the solution for more than three years

When computing resources are properly optimized Grafana runs in a quite stable manner. As Grafana is an analytics and visualization platform, it is a bit hungry on CPU and Memory usage. When Grafana instances are properly planned and configured, computing resources bottlenecks can be avoided. Our instances haven't given us headaches from the time we set them up. 

Grafana is mainly for visualization, so many instances can be set as needed. Grafana can also be configured for high availability for some scenarios like alerting, authentication, and databases.

We haven't bought technical support and haven't dealt with their customer service agents.

We used native dashboards and graphs of another system we use. We use Zabbix for monitoring but we added Grafana to add more visualization flexibility.

The initial setup was straightforward, however, some resource optimization and tuning were needed. We have experienced professionals in tuning OS systems and application resources so it was not too complex for us.

We implemented everything fully in-house. Since we never had a vendor team, we don't know yet the level of expertise they have. The Grafana community has been so helpful in this regard.

I can confidently say we have a 100% return on investment. Grafana has greatly enriched our data visualization and analytics. We see the prospect of it appealing even to more senior management. They may not be quite technical, but they appreciate having data nicely visualized so they know what is going on.

You can choose from the fully open-source or enterprise editions. We chose the open-source and did everything in-house. Thorough planning and performance considerations are important, as the tool can be heavy on memory and computing resources.

We considered Kibana before we chose this solution.

The solution is great and is one of the best in the market for visualization.

We use the solution in a financial institution to monitor applications and infrastructure. 

We really only started. 

So far, the management is very good.

The dashboards are very easy to work with. 

It's a fantastic tool.

Support is helpful. There are many useful forums users can turn to as well.

It can scale.

The stability is good.

There are not a lot of plugins for financial market monitoring. Our old tool had more plugin capabilities. 

We need more AI features. We need more data analytics and monitoring done by AI.

We just started using the solution. We haven't used it for that long. 

The solution is very stable. There are no issues with reliability. There are no bugs or glitches and it doesn't crash or freeze. 

I'd rate the scalability nine out of ten. It can extend well. 

The team that is implementing the solution has relied quite a bit on the support and forums, and so far, it has been helpful. So far, we are satisfied with the level of support on offer. 

We used to use a different solution. It had very specific tools for fixed message monitoring, among other features, that were useful for finance companies. Grafana doesn't have much that tailors to our sector. 

I was not involved in the implementation. I work with the team that has implemented it. 

We're a customer and end-user. 

We are likely using the latest version of the solution. I'm not sure of the version number. 

I'd rate the solution six out of ten. So far, I can't say it's doing more than our older monitoring was doing. 

We use the solution for integrated logging, which works on our Kubernetes cluster and our separate VM. 

The solution allows our teams to search and conduct application troubleshooting.

The dashboards are the most valuable features.

I would like to have a better configuration in the next release.

The technical support has room for improvement.

I have been using the solution for five years.

I give the stability an eight out of ten.

I give the scalability an eight out of ten.

We have five users in our organization.

I give the initial setup an eight out of ten. There was a lack of support documents to help with the deployment. We just need to configure the file to plan the cluster.

I give the price an eight out of ten.

I give the solution an eight out of ten.

We use Grafana with a Kubernetes filter and it works well. I am not sure how the solution will work on its own.

We use Grafana for matrix and logging Kubernetes.

Many bottlenecks are sent to the base on the logs generated on Loki. We can create alerts based on that log, see the traces and find the bottlenecks easily.

The integration between Loki and Tempo is valuable.

We need different kinds of applications in our infrastructure to see information in Grafana. For example, some other companies use OneAgent, which takes control like Grafana but in one place and is better than Grafana.

We have been using this solution for three years and are using the below enterprise. It is deployed on-premises.

It is a stable solution.

It is scalable based on different metrics, and we have 40 users.

We have raised a lot of tickets, and they respond fast. I rate the technical support a ten out of ten.

Positive

We are working with the Dynatrace team to have POC email infrastructure.

The initial setup was complex because we needed to specify many configurations. I rate the setup a seven out of ten. A third party completed the deployment, and the maintenance was done in-house. It is not difficult to maintain.

I rate the solution a seven out of ten. Regarding advice, ensure there is proof of courses for every tool to see the best fit for your infrastructure.