Our primary use case is essentially as a visualization of system and application logs as well as metrics, and we have time-based analysis that we like to do as well. We are customers of ELK and I'm an engineer.
Kibana lets you visualize your Elasticsearch data and navigate the Elastic Stack, so you can do anything from learning why you're getting paged at 2:00 a.m. to understanding the impact rain might have on your quarterly numbers.
| Author info | Rating | Review Summary |
|---|---|---|
| Engineer at Raytheon Technologies | 4.0 | I use this stable ELK solution for log and metric visualization, valuing its flexibility. However, I find its open-source security, UI, and visualization options lacking compared to tools like Grafana, which needs improvement. |
| Works at a computer software company with 1,001-5,000 employees | 4.5 | I find this solution excellent for reading and sharing historical logs, enabling easy team collaboration with stable, customizable dashboards. My only suggestion is a search wizard to improve query refinement and speed. |
| Application Developer at gallagher service center | 3.0 | I primarily use Kibana for reporting on Orchestrator logs, which helped me convert log info into clear numbers and dashboards. I find its UI and data visualization user-friendly, though I wish there were more training modules and easier data population. |
| Product Owner at WCC Group B.V. | 3.0 | I am trialing this for a dashboard of job posts, market, and confidential data. I appreciate the easy visualizations and automatic updates, but it needs to allow combining indices and unique counts. |
Our primary use case is essentially as a visualization of system and application logs as well as metrics, and we have time-based analysis that we like to do as well. We are customers of ELK and I'm an engineer.
Some visualization tools are optimized for time series like Kibana, which allows you to do both. We like the flexibility of being able to analyze different types of data.
One area that could be improved is security. Being an open source product, if you want to add security, if you want to add authentication, you've got to use a third party plugin that may or may not cost you, or alternatively upgrade to their subscription service, which is a downside as well. I think the types of visualizations are nice, but I think there's room to add more without having to go to third party plugins to do that. Just comparing the total number of visualizations that it provides compared to Grafana, you can see that it's lacking. The UI experience isn't as rich as it is with Grafana or certain other tools.
I would like to see better authentication options, typical authentication options, like active directory and LDAP as well, just a richer UI with more graph type options.
I've been using this solution for about a year.
This is a stable solution.
We haven't actually scaled it at this point. I think we're essentially using single node clusters and sending them up when we need them, so partly because the team I'm working on is doing more proof of concept work and not supporting a real time project, we don't have a need to scale at this point. We have approximately 30 users in the company.
Because we're using open source, we're not getting technical support, we get whatever we need from the open source community.
The initial setup is straightforward. I wasn't involved in the original deployment at this company, but I assume that was also simple.
We're looking into costs now, and because we're dealing with basically government type programs, there's different pricing, so they're putting a report together for me.
It's important to do your homework with this solution. I think overall it's a fine product, but you really need to assess what your current needs are, what your future needs are, and see if there's any other competing products out there that might be suitable. My interest at this point is not to replace Elasticsearch. My interest is to either replace or supplement what we have with a different visualization tool.
I'd rate this solution an eight out of 10. There's definitely room for improvement.
The primary use of this solution is to read logs and share them with colleagues. You can store logs that were written months or years ago, which is fantastic.
In our organization, it is now easier to share information about failures with colleagues. It can keep this information in Jira or other systems.
Having a tool where you can find logs that were generated months ago, and being able to search over a long period of time, is great.
Being able to create panels and boards is the best, as you can save them and share with the team. The way you can configure the panels, columns, and create new dashboards is brilliant.
Having more help with searches would improve this solution. Having a kind of wizard that would help you when you are typing your search would make it easier and quicker to refine your search, and ultimately find what you are looking for.
The stability of this solution is fantastic. It has not failed us for months and we use it extensively.
Prior to using this solution, we only used the plain console.
I have not set it up or studied licensing.
We did not evaluate other solutions.
Creating reports and getting information out of Orchestrator is the primary use of Kibana for us. Orchestrator is a cloud environment where bots run and create logs, and so these logs info get reported in Kibana.
It helped us in converting logs information into numbers, helped in creating dashboard and reports and correct counts for all bots.
The user interface is very good, and the data visualization is simple and user-friendly. Bars, pie, and scatter plots add a chart to its reporting part.
There should have been some training modules or user guide to get to know more about it. Populating data sometimes is also difficult for the user. Kibana requires some queries in order to get data display .
No, I have never used such a tool or application previously.
Not sure about cost and pricing metrics.
N/A.
N/A.
To create a dashboard for the data of job posts and the labor market, in addition to other confidential items.
We are in the trial phase, and can't conclude yet if we will use the product.
Visualizations. It is easy to create visualizations after the data is loaded. The automatic update of the graphs from a dashboard is very convenient.
This solution should allow the user to combine two indices into one graph and it should provide a unique count. It should facilitate conditional show if visualisations are in a dashboard.