Elastic Stack Reviews & Product Details

Being an inverted index, ElasticSearch returns an incredible amount of results in extremely short times.

Such short times enable the application to run smoothly, making the customers happier with the product.

Moreover, it opens the application to new possibilities like simple full-text and geo-based searches. Review collected by and hosted on G2.com.

ElasticSearch tends to guess. Anytime I put inside an index new data without prior defining the mapping, it just guesses and forces me to do a lot of work to change the mapping.

Being able to prevent data insertion without mapping might be useful in some scenarios.

Similarly, coming from a SQL world, I find it hard sometimes to work without GROUP BY and JOIN (i.e., fetch data from multiple indices with different mappings in a single query). Review collected by and hosted on G2.com.

Searching capability and easy use case building Review collected by and hosted on G2.com.

Creating co relation rule with KQL query Review collected by and hosted on G2.com.

1. Different format support- Logstash will transfer the different formated and complex data.

2. No data size barrier - Logstash will support the different data sizes without any limitations.

3. Support Customization - Logstash provides different plugins that help create our work pipeline. Review collected by and hosted on G2.com.

1. User interface is a bit complex which covers more information which creates UI bulky.

2. Sometimes, observe the performance issue, and the response time is slow.

3. Configuration is a bit complex and challenging to deploy. Review collected by and hosted on G2.com.

Elastic gives my team (Customer Success) access to parse and analyze data generated from our systems in order to make decisions but also to give our customers deep insights into what is happening in terms of their team's usage on our platform as well as data that is collected through their end users. Review collected by and hosted on G2.com.

It's possible for non technical people to learn but it isn't idiot proof. It still feels like a tech product that data analysts or engineers will have an easier time using. 2 people on my team are "good" a handful are adept, and some are still getting the basics down. Review collected by and hosted on G2.com.

Kibana is a fantastic tool to create reports not only in the form of sheets or excel but also as pie charts, bar graphs. Kibana helps the process of auditing and reviewing a cakewalk for organizations dealing with large amounts of data. Review collected by and hosted on G2.com.

Kibana is less used and less popular in today's date compared to Tableau. Many multinational companies still stick to tableau because of the lesser popularity of how unique Kibana is and the variety of features it offers. Review collected by and hosted on G2.com.

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.