
We used kinana with aws and it is so awesome that we can use many different type of filters, view in table or json as we needed, visualize also in graphs.
We can see all the index and the data inside it.
Ui is very smooth and cool, we can get, put,post query easily from web console.
It is basically a tool to view data inside elastic search. Review collected by and hosted on G2.com.
Couldn't find anything yet to dislike the tool Review collected by and hosted on G2.com.
Kibana has many intuitive and easy-to-use tools for non-techies. For example, they have highly configurable dashboards, reports, charts, and seamless integration with Elastic Search. Review collected by and hosted on G2.com.
The version of the search query that they use, Kibana Query Language (KQL), is a bit complicated and has a steep learning curve for people unfamiliar with query languages. Review collected by and hosted on G2.com.
As a DevOps engineer, I like that Elastic develops different ways to deploy as code. They have a thoroughly documented Ansible Role that can manage all the server requirements, like the partitioning of your disk, Docker installation, and performance tuning, to the stack's configuration of roles. A 5 node cluster takes less than 30 min to deploy in Azure. You can also deploy the Elastic Cloud on Kubernetes with YAML templates.
The free tier is great for POCs, and another significant advantage we get is the ease of scalability by changing a few lines in our playbooks. Review collected by and hosted on G2.com.
Not so much a dislike but a challenge: The learning curve of both the product and the automation with ansible require at least 1 week of reading, tutorials and learning the ansible role. Review collected by and hosted on G2.com.
Filters are best part which I like the most. It is very helpful to reuse the queries written in history. It has dev tools where we can write query like we write in postman. Review collected by and hosted on G2.com.
Everything seems to looks good for me . I am using it and highly satisfied Review collected by and hosted on G2.com.
It's one of the best tool to visualise data. It has everything we need to create exiting dashboard. Also, we get the ability to create multiple dashboard for multiple things. Review collected by and hosted on G2.com.
Need some more features and integration support for different database ( logs). You can add support for more used databases and create a easy to use guide for them. Review collected by and hosted on G2.com.
Super easy to visualize data and do basic analysis. The price point compared to similar tools is a massive plus. Handles large data well Review collected by and hosted on G2.com.
Tableau is definitely the better product, but it's also more expensive. I think Kibana could improve some of its functionality by making pivoting easier. Review collected by and hosted on G2.com.
Like the best is its powerful features for data visualization like pie chart histogram line charts. Review collected by and hosted on G2.com.
No such dislikes about this application as not used it advanced. Review collected by and hosted on G2.com.
Allows data visualization in terms of graphs, charts in real-time. Review collected by and hosted on G2.com.
The graphical representation on the web can be improved. Query formation can be more simlpified. Review collected by and hosted on G2.com.
Writing queries and executing them on Kibana is very easy and user-friendly. Also, you can make pretty dashboards with your data. Review collected by and hosted on G2.com.
Display of errors is not up to the mark, they are very confusing sometimes. Review collected by and hosted on G2.com.
The easy to use interface and integration with elasticsearch. Review collected by and hosted on G2.com.
features like adding a custom HTML code as visualization or adding own custom metrics for visualizations are missing. Review collected by and hosted on G2.com.