Grafana is a data visualization tool developed by Grafana Labs in New York. It is available open source, managed (Grafana Cloud), or via an enterprise edition with enhanced features. Grafana has pluggable data source model and comes bundled with support for popular time series databases like Graphite. It also has built-in support for cloud monitoring vendors like Amazon Cloudwatch, Microsoft Azure and SQL databases like MySQL. Grafana can combine data from many places into a single dashboard.
$0
IBM Instana
Score 8.1 out of 10
N/A
Instana, an IBM company since the December 2020 acquisition, provides APM services for SOA, microservices, containerized applications and Kubernetes, and cloud native applications, as well as discovery and monitoring for IT assets.
$75
per month per Managed Virtual Server (MVS)
Pricing
Grafana
IBM Instana
Editions & Modules
Grafana Cloud - Pro
$8
per month up to 1 active user
Grafana Cloud - Free
Free
10k metrics + 50GB logs + 50GB traces up to 3 active users
Grafana Cloud - Advanced
Volume Discounts
custom data usage custom active users
Grafana - Enterprise Stack
Custom Pricing
Essentials
$18
per month per Managed Virtual Server (MVS)
Standard
$75
per month per Managed Virtual Server (MVS)
Self-Hosted
$93.80
per month per Managed Virtual Server (MVS)
Offerings
Pricing Offerings
Grafana
IBM Instana
Free Trial
Yes
Yes
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Grafana
IBM Instana
Features
Grafana
IBM Instana
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Grafana
8.0
5 Ratings
5% below category average
IBM Instana
-
Ratings
Pixel Perfect reports
6.05 Ratings
00 Ratings
Customizable dashboards
10.05 Ratings
00 Ratings
Report Formatting Templates
8.05 Ratings
00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Grafana
6.8
4 Ratings
16% below category average
IBM Instana
-
Ratings
Drill-down analysis
6.14 Ratings
00 Ratings
Formatting capabilities
8.04 Ratings
00 Ratings
Integration with R or other statistical packages
5.14 Ratings
00 Ratings
Report sharing and collaboration
8.04 Ratings
00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Grafana
8.4
4 Ratings
0% below category average
IBM Instana
-
Ratings
Publish to Web
7.14 Ratings
00 Ratings
Publish to PDF
9.04 Ratings
00 Ratings
Report Versioning
9.04 Ratings
00 Ratings
Report Delivery Scheduling
8.04 Ratings
00 Ratings
Delivery to Remote Servers
9.04 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Just about any organization with more than one server and more than one cluster as it scales very well. Configuration of the application takes time and finesse to fine tune to where the balance of load time and getting data quickly meets. The plugins add load time but fine tuning for the application to meet demand needs nailed down at implementation
With enterprise IT assets in a multitude of ecosystems, cloud infrastructures and sometimes still left stuck in a legacy on prem architecture, IBM Instana makes it easy to get the right data to drive development and / or DevSecOps processes with tangible input from the target environment itself.
Can monitor application(s) and system(s) with very large throughput of transactions by the second ( it gets everything !!!)
Provide strong drill down for your applications and will tell you where the points of failure of an application's is ( servers , network , Databases , etc you name it )
Very easy to set up and have it up and running when using the SaaS solution. There's an on premise solution which works just as well but requires more effort and preparation from an infrastructure point of view for your teams to implement.
Continuously improve their features and their agents auto-update and keep up. All while not interfering with your applications.
Let's you create your own dashboards and visualizations that can be tailored for different kind of users with the data collected.
Create your own events and smart alerts so you can know on the spot if something is happening or is likely to happen that needs addressing on your applications / systems
It's very difficult to create custom dashboards, only a handful of scenarios can be visualized to dashboards.
Extracting information from Instana to further analysis into excel for example is something that can be improved. Using an API to get data is very limiting.
Open telemetry features which allow to send application data to Instana is not working as documented.
Instana has been able to fulfill our all requirement and provide out of box solution for multiple component like AWS RDS Monitoring and real time alerting setup on basis of that. it is also easy to integrate with other open-source alerting and monitoring tools which makes it easier to incorporate into our solutions
It is infinitely flexible. If you can imagine it, Grafana can almost certainly do it. Usability may be in the eye of the beholder however, as there is time needed to curate the experience and get the dashboards customized to how it makes sense to you. I know one thing they are working on are more templates, based on data sources
IBM Instana totally alters our monitoring approach since it increases the stability of the system and simplifies the process of problem solving. And since it helps to lower the degree of alert exhaustion that we experience, it is a total game changer for us.
Grafana blows Nagios out of the water when it comes to customization. The ability to feed almost any data source makes it very versatile and the cost is great.
As a DevOps engineer, I've explored various Application Performance Monitoring (APM) tools, including New Relic for real-time insights, AppDynamics for code-level visibility, Dynatrace for AI-driven monitoring, Datadog for comprehensive observability, Splunk for log management, Stackify Retrace for error tracking, and Raygun for crash reporting. Each tool offers distinct features, and the choice depends on specific use cases, technology stacks, and organizational needs. Thorough evaluations, considering factors like ease of use, integration capabilities, and scalability, help in selecting the most suitable APM solution for effective application monitoring in a DevOps environment.