Kibana vs. Prometheus

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Kibana
Score 7.3 out of 10
N/A
Kibana allows users to visualize Elasticsearch data and navigate the Elastic Stack so you can do anything from tracking query load to understanding the way requests flow through your apps.N/A
Prometheus
Score 8.3 out of 10
N/A
Prometheus is a service monitoring and time series database, which is open source.N/A
Pricing
KibanaPrometheus
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
KibanaPrometheus
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
KibanaPrometheus
Considered Both Products
Kibana
Chose Kibana
Well when it comes to using Kibana when compared to Datadog, I can say that Kibana is pretty [...] cheap. Apart from APM and Datadog hosted agents, Kibana gives a good competition to Datadog for real time log analysis as well as metrics analysis.
While OpsGenie is a great tool …
Chose Kibana
Stackdriver and CloudWatch are not as intuitive and easy-to-use as Kibana, and do not offer such advanced filtering capabilities.

Google BigQuery is not really suitable for real-time searches.
Prometheus
Chose Prometheus
It is easier to setup, but learning curve is quite moderately steep. Prometheus is a best-in-class tool for engineers and SREs in cloud-native environments. When extended with tools like Thanos or Cortex, it can rival commercial platforms in scale and capability—but requires …
Chose Prometheus
As I mentioned earlier, Prometheus had an added advantage that we were able to monitor CPU, RAM, Disk Space, process monitoring which other tools did not provide us
Some tools were obsolete, and other were costly when we wanted this good feature , only Prometheus delivered on …
Chose Prometheus
We considered TICK stack as an alternative to our Prometheus/Grafana setup that we have for capturing, storing and visualizing the time series data.
But it seemed more complicated to learn and required a separate DB called InfluxDB to be setup.
So, after all these considerations, …
Chose Prometheus
The software is very lightweight and can be hosted with minimal resource usage. Many exporters exist for various software. Prometheus has a powerful and flexible query language (PromQL) that allows analyzing your data easy. I use this software with its various exporters, …
Chose Prometheus
Highly customized pricing plans to choose from. Lower pricing for the same features compared to competitors. Easy to reach the support team, which provided detailed documentation and helped set up the Prometheus. Monitoring metrics gets very easy after the integration with …
Chose Prometheus
Since Prometheus is free to use and provides all the features we required we went with Prometheus if any feature is missing then we can consider other paid solutions like data dog.
Chose Prometheus
It was easy to implement in our enviroment compared to the other products which has a lot of challenges in the POC period it self. We have been looking for a quick solution as it was implemented during COVID, hence we were trying to take advantage of this software to see how it …
Chose Prometheus
Prometheus was built to monitor CLOUD infrastructure. InfluxDB also has a good design to monitor time series but does not have a design for these demands. InfluxDB would need customization to integrate with Grafana and other third-party solutions. A disadvantage of InfluxDB is …
Chose Prometheus
Both were present in the toolset. Splunk Enterprise was used in more of the log observability tool than the monitoring of the service. Prometheus was used mainly on the server and services monitoring and alerting capability used to have a stable production environment. …
Chose Prometheus
Out of all the products that we did POC, Prometheus was the easiest to integrate the tool with our storage grid on which some of our most business-critical application workflows run. Prometheus was not only able to solve the monitoring problem but also provided a variety of …
Chose Prometheus
The installation of Nagios core is quite difficult and the whole system seems us like a huge headache for us the entire team is not much happy with Nagios core so we take the decision and switch to Prometheus and were really happy with our decision and satisfied.
Chose Prometheus
We used Grafana and Prometheus to take advantage of both tools' features (ex. alerting, and visualization with Grafana).
Chose Prometheus
prometheus brings the power of real-time graphs to the land of open source ( reference included ). It's lightweight and doesn't seem overkill if you're a startup company and do not have a heavy traffic load. Great for starting out on small to mid-scale. as traffic rises, you …
Chose Prometheus
The reason Prometheus stands tall against its competitions is because it is generic. Hence, it can be used to monitor all kinds of services, be it Database, Servers etc. Whereas CloudWatch only monitors over AWS services. Another reason is its huge availability of integrations …
Chose Prometheus
Prometheus is great for quantifiable metrics. Loki is intended for log aggregation. Depending on project a different combination of data source types may be needed. However, quantifiable metrics are predominantly supported by Prometheus. Other data sources like elastic search …
Chose Prometheus
Prometheus is better as a monitoring tool than graphite as graphite is a passive time series database with a query language. Prometheus has a rich data model by capturing metadata with labels which allows for easy filtering and querying. For a clustered solution, graphite maybe …
Chose Prometheus
Prometheus is cheaper, and you can quickly set it up compared to others. It is integrated with most of the open-source monitoring and alerting tools and can help small companies in having a cost-effective solution early in their stage.
Chose Prometheus
I tested out this solution and vetted out a few other solutions as well and ultimately ended up going with Prometheus due to a few specific reasons. Prometheus has a freemium option that allows a company to maintain cash flow while not sacrificing the quality of the product. It …
Chose Prometheus
Prometheus is similar to some of its competitors but delivers with regards to metrics; being used internally by Google and other cloud-native companies like ours gives us the confidence that the alerting industry stakeholders view it as a long-term solution that the community …
Chose Prometheus
We evaluated Datadog and New Relic but cost-wise, these 2 are very expensive. Prometheus does require more leg work to match the feature sets but other than time, the cost is free. Pairing with Grafana, Prometheus can pretty much match features with the big players and still …
Chose Prometheus
If you combine Prometheus with Grafana, what you get is just amazing. it is basically the best ecosystem that I have seen. Grafana just makes those fancy "iron man" kind of dashboards and it just looks so appealing to your eyes. I have implemented NAGIOS core earlier for …
Chose Prometheus
Prometheus is best suited for Kubernetes metrics as compared to Zabbix.
Features
KibanaPrometheus
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Kibana
9.0
Ratings
7% above category average
Prometheus
-
Ratings
Pixel Perfect reports9.00 Ratings00 Ratings
Customizable dashboards9.00 Ratings00 Ratings
Report Formatting Templates9.00 Ratings00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Kibana
5.7
Ratings
33% below category average
Prometheus
-
Ratings
Drill-down analysis7.00 Ratings00 Ratings
Formatting capabilities7.00 Ratings00 Ratings
Report sharing and collaboration3.00 Ratings00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Kibana
8.8
Ratings
4% above category average
Prometheus
-
Ratings
Publish to Web9.50 Ratings00 Ratings
Publish to PDF8.50 Ratings00 Ratings
Report Versioning9.00 Ratings00 Ratings
Report Delivery Scheduling9.00 Ratings00 Ratings
Delivery to Remote Servers8.00 Ratings00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Kibana
8.8
Ratings
8% above category average
Prometheus
-
Ratings
Pre-built visualization formats (heatmaps, scatter plots etc.)7.00 Ratings00 Ratings
Location Analytics / Geographic Visualization9.50 Ratings00 Ratings
Predictive Analytics10.00 Ratings00 Ratings
Best Alternatives
KibanaPrometheus
Small Businesses
Supermetrics
Supermetrics
Score 10.0 out of 10
InfluxDB
InfluxDB
Score 8.8 out of 10
Medium-sized Companies
Supermetrics
Supermetrics
Score 10.0 out of 10

No answers on this topic

Enterprises
Dataiku
Dataiku
Score 7.6 out of 10

No answers on this topic

All AlternativesView all alternativesView all alternatives
User Ratings
KibanaPrometheus
Likelihood to Recommend
7.0
(0 ratings)
7.5
(0 ratings)
Usability
-
(0 ratings)
6.0
(0 ratings)
Support Rating
7.7
(0 ratings)
5.0
(0 ratings)
User Testimonials
KibanaPrometheus
Likelihood to Recommend
Great for teams big and small that want a single pane of glass for understanding their systems, from dev, to staging, to production. Well-suited for teams that need to preserve logs for long-term compliance reasons, and also mine their logs for useful operational insights. Highly recommended as both an open source project and a commercial offering with fantastic paid support.
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This program works from the roots of the problem and creates a professional matrix for each of its users. This will give them more skills and resources to carry out tasks and reduce the difficulties of operating each of the processes of my work, as well as being An ally for the manipulation and operability of all your master data; Prometheus is very easy to recommend since it is a program that fulfills its mission.
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Pros
  • searching
  • near real-time
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  • Looking at metrics such as the aggregate number of HTTP requests served.
  • Understanding how our services are performing in aggregate.
  • Easy to deploy within a variety of architectures/environments.
  • Open source so new features are added regularly and bugs are fixed in a timely manner.
  • Free so there are no licensing restrictions.
  • Endorsed by the Cloud Native Computing Foundation.
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Cons
  • Improved tutorial/ user guidance
  • Improved labeling for sources
  • Ease of login and sharing with coworkers
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  • Customer Service: since this is an open-source tool, customer service is not that great. Generally, you get all answers to your problems in online forums, but in case you got stuck, nobody will assist you in a channelised manner. You will have to find the way out on your own, and it may become frustrating at times.
  • More metrics for dashboards shall be added per the application being monitored. Standards metrics will work in most cases but may not in specific applications. Therefore, customised metrics shall be created for some of the industry-standard niche applications.
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Usability
Its usability is generally good and it provides teams with a basic to intermediate understanding about data visualization. It is very user-friendly when it comes to creating dashboards. The UI is very good and simple. Its integration with other tools for alerting and reporting is amazing. But its advance features have a learning curve and a first timer needs some time to use the advance features.
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It is usable and one can learn if few people in the team are already using it. It can be difficult to understand at the beginning because of non intuitive UI and syntax of the rules. So, I've gone for 7 points as there is some room for improvement in user interface and rules syntax.
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Support Rating
I have not contacted Kibana support.
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Never had to reach out to them.
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Alternatives Considered
Well when it comes to using Kibana when compared to Datadog, I can say that Kibana is pretty [...] cheap. Apart from APM and Datadog hosted agents, Kibana gives a good competition to Datadog for real time log analysis as well as metrics analysis. While OpsGenie is a great tool for alerting, it lacks visualization when compared to Kibana. Grafana is another opensource tool that gives a lot of insights like Kibana but Grafana cannot be easily integrated with OpenSearch.
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Highly customized pricing plans to choose from. Lower pricing for the same features compared to competitors. Easy to reach the support team, which provided detailed documentation and helped set up the Prometheus. Monitoring metrics gets very easy after the integration with Grafana. It also has a sophisticated alert setting mechanism to ensure we don't miss anything critical.
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Return on Investment
  • First stop when diagnosing production performance issues.
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  • We are still working on the ROI
  • The ROI mentioned during the purchase has not been achieved, however this could be due to lack of data from our side. 2 years of implementation is too early to calculate and confirm the ROI.
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ScreenShots