Overview
Grafana Enterprise is a commercial edition of Grafana that includes premium features not found in the open source version. Grafana Enterprise enables organizations to complete their observability picture, reaching across logs, metrics, traces, and other applications with access to enterprise data sources like AppDynamics and Splunk, enhanced LDAP, SAML, access control, reporting, usage insights, and much more.
Please note: this listing is for customers who would like to self-manage Grafana Enterprise on AWS. It does not apply to Amazon Managed Grafana or Grafana Cloud.
For more information on Grafana Enterprise, see https://grafana.com/products/enterprise/grafana/Â .
To learn more or to discuss volume pricing, please reach out to us at amazongrafana@grafana.com .
Highlights
- Visualize and alert on observability and operational data from enterprise data sources including AppDynamics, Splunk, New Relic, Datadog, SignalFx, Oracle, ServiceNow, Jira, Gitlab, Dynatrace, Snowflake, MongoDB, Wavefront, and more
- Increase adoption and keep Grafana secure with enhanced LDAP, SAML, access control, reporting, security, usage insights, and more
- Access Prometheus, Graphite, and Grafana experts as well as hands-on Grafana Labs support teams
Details
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Features and programs
Buyer guide

Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
---|---|---|
Base/Support + 60 Users | Includes a license, support, and up to 60 active users | $40,000.00 |
Additional Active Users | Incremental cost per additional active user | $300.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
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Delivery details
Helm Chart
- Amazon EKS
- Amazon ECS
- Amazon ECS Anywhere
- Amazon EKS Anywhere
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Release notes are available on the website https://grafana.com/docs/grafana/latest/release-notes/release-notes-11-6-0/Â
Additional details
Usage instructions
You can apply your Grafana Enterprise license to a new or existing Grafana Enterprise deployment by updating a configuration setting or environment variable. Your Grafana instance must be deployed on AWS, or have network access to AWS. For more information, see https://grafana.com/docs/grafana/latest/enterprise/license/Â
Resources
Support
Vendor support
Grafana Enterprise support includes a critical response SLA, unlimited support over private Slack channel, email and phone, and training, workshops, and professional services from experts at Grafana Labs.
Contact amazongrafana@grafana.com to inquire about Grafana Enterprise.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Standard contract
Customer reviews
Grafana turns our Android app metrics into actionable insights
The Slack alerts are noisy but worth it. Got pinged at 3am once when deployment broke prod - crash rate jumped to 12%.
Grafana Labs
A solid observability tool that keeps getting better
Versatile and powerful dashboarding tool for monitoring
Community support and visualization features impress but integration guides could simplify
What is our primary use case?
For my personal usage, I do use Grafana , and it does make life easier for solving stuff.
What is most valuable?
The main benefits I have seen from using Grafana in my day-to-day activities is the visualization of the metrics, specifically Dora Metrics. Instead of saying 'I feel the team is developing bad or slow,' you can actually have metrics to support that. You can actually show that this team could work better here, in this case, or needs to focus more on peer reviews or on deployments. The visualization of the data is key.
What needs improvement?
For my personal usage of Grafana, I think there could be improvements, particularly that I use the Grafana Cloud SAS solution. The integration guides could be simpler and easier.
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. It was mostly for personal usage that I'm talking about right now.
For how long have I used the solution?
I have been using Grafana for around a year, maybe more.
What do I think about the stability of the solution?
Grafana is stable; however, in the previous company, we also had Grafana for a long period of time, and its stability depends on the load. Once you get to a higher load, you need to re-evaluate your architecture and put that into account.
What do I think about the scalability of the solution?
In assessing Grafana's scalability, we started noticing logs missing or metrics not syncing in time, which indicated a bottleneck that we had to address by updating the infrastructure.
How are customer service and support?
I'm not familiar with Grafana's feature in terms of community and documentation since I've been here only a few months. The community provides extensive knowledge about Grafana. You will get faster answers about Grafana than about Datadog from the community.
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.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
The reasons for moving from Grafana to Datadog include the fact that Datadog is a SAS solution, and we don't need to manage it. I was told, and as I mentioned I'm kind of new, there was already Datadog running, so it's not creating a new one but just moving the data. The main benefit of Datadog versus Grafana is the ease of creating a dashboard, which is just simple for the user.
What about the implementation team?
In the previous company, about three or four people worked on Grafana implementation. It was an ongoing effort that took several months to complete.
Which other solutions did I evaluate?
Grafana is easier to sell to management compared to Datadog and other solutions because it has an open-source tier, which makes it easier.
If I'm coming as a personal user, then Grafana is the best solution out there right now. But if we're looking at it as an enterprise, then when money is less of an issue, Datadog is much easier to use and implement than Grafana.
What other advice do I have?
Managing and maintaining Grafana is kind of managing another application; as far as Grafana itself, you don't have much to do. It's mostly about the infrastructure, resources, and if you're deploying it in high availability, maybe more instances. So it's mostly infrastructure work and less about Grafana itself.
I rate Grafana an eight out of ten.