We use Elastic Search for search purposes and things related to semantic search.
It is not being used for the moment regarding my main use case for Elastic Search.
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Machine learning features have improved search projects and user experience
What is our primary use case?
What is most valuable?
In my experience, the best features Elastic Search offers are its stability and brand new features that I consider very interesting.
The machine learning features of Elastic Search are very interesting, including the possibility to include models such as ELSER and different multilingual models that let us fine-tune our searches and use them in our search projects.
The machine learning features of Elastic Search have helped us with many things such as improving our searches and experience for the guests.
What needs improvement?
We could benefit from refining the machine learning models that we currently use in Elastic Search, along with the possibility to integrate agents, intelligent artificial intelligence, form of agent, and MCP.
It would be useful to include an assistant into Kibana for recommendations, advice, tutorials, or things that can help improve my daily work with Elastic Search.
For how long have I used the solution?
I have been using Elastic Search and Kibana for about four years.
What do I think about the stability of the solution?
In my experience, Elastic Search is quite stable.
What do I think about the scalability of the solution?
The scalability of Elastic Search is very good in my opinion. It never has incidents that cause issues in our daily tasks.
How are customer service and support?
The customer support for Elastic Search is one of the best I have ever tried. Whenever I had to create a new incident, I got the responses that I needed.
How would you rate customer service and support?
Positive
What other advice do I have?
I consider Elastic Search a very good project. On a scale of 1-10, I would give it a 10.
The features and capabilities that Elastic Search provides are very easy to use, and the documentation is rich. You can find and understand everything here to use it properly.
I would tell others looking into using Elastic Search that they can try it and see if it fits their use cases.
Elastic Search is a very good product. I really appreciate all the features that it provides, and I hope this product continues its evolution in the way it has been.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
AI Logging Power House
What do you like best about the product?
The bulk logging features and an ability to index, store and search data with ease
What do you dislike about the product?
Complexities involved in having ready out of the box solution for deep dive Observability and log based metrics and insights.
What problems is the product solving and how is that benefiting you?
A single Logging Repository store for IOT workloads and thousands of stateless infra elements used in our product architecture.
Don't run production workloads without Elastic's observability stack
What do you like best about the product?
Elasticsearch's stack is a must-have for application developers where observability can be achieved through APM's distributed tracing, and logs and metrics acquired through the Elastic Agent. A lot of observability into the system can be seen with minimal application configuration so developers can understand latency, throughput, error rate, and saturation of the system. I wouldn't run a production service without Elastic. I use APM every day to monitor the health of services I'm responsible for. A lot of valuable information comes for-free, but creating custom dashboards is also available.
What do you dislike about the product?
Setting up Elasticsearch and running it for production workloads is non-trivial. Many valuable features require a commercial license.
What problems is the product solving and how is that benefiting you?
Elasticsearch provides observability solutions where keeping applications running in a healthy state is critical. Tools within Elastic like Transforms can create views/dashboards that power decision making.
Nice product
What do you like best about the product?
Easy of use, reliable and good customer support
What do you dislike about the product?
Dashboard with using big index takes time to load
What problems is the product solving and how is that benefiting you?
Showing visualization from the data
Elasticsearch – Fast, Flexible, but Needs Care
What do you like best about the product?
I’ve been using Elasticsearch for a while now, and the first thing that consistently impresses me is its speed. No matter if I’m searching through logs, text, or analytics data, it delivers results incredibly quickly once it’s properly configured. I also like how well it scales; adding more nodes allows it to handle larger and larger workloads smoothly.
I also appreciate its flexibility. Elasticsearch supports everything from simple keyword searches to more advanced aggregations, autocomplete, and even fuzzy matching.
I also appreciate its flexibility. Elasticsearch supports everything from simple keyword searches to more advanced aggregations, autocomplete, and even fuzzy matching.
What do you dislike about the product?
Elasticsearch is not particularly plug-and-play. There is a noticeable learning curve, especially when it comes to configuring clusters, tuning shards and replicas, and maintaining stable performance as your data volume increases. If you don't size your setup correctly, it can also become quite resource-intensive.
What problems is the product solving and how is that benefiting you?
I mainly use Elasticsearch as an enterprise search tool. It’s where we send a ton of data — logs, records, documents — so people can quickly find what they’re looking for. Instead of digging through raw databases, we can just search and get results instantly.
Before Elasticsearch, searching across big datasets was slow and frustrating. Now it’s basically instant. It handles millions of records without breaking a sweat, and the results are super accurate.
The biggest win for us is speed and scale — things that used to take forever now take seconds. That means faster troubleshooting, better insights, and less wasted time for the team. It just makes working with large amounts of data way more practical.
Before Elasticsearch, searching across big datasets was slow and frustrating. Now it’s basically instant. It handles millions of records without breaking a sweat, and the results are super accurate.
The biggest win for us is speed and scale — things that used to take forever now take seconds. That means faster troubleshooting, better insights, and less wasted time for the team. It just makes working with large amounts of data way more practical.
Elastic gives you freedoms to create the solution you need
What do you like best about the product?
Elastic has a great community and support that can be talked to and used in order to create and implement solutions. their are a plethera of prebuilt features in the platform such as the security solution that you can leverage and integrate with other platforms in order to create the solution that you need. I am in elastic every day and am able to create and monitor the solutions i need easily in order to perform my job.
What do you dislike about the product?
With Elastic their are many features and some of which start to feel the same but with a different spin. due to the pure amount of features sometimes it appears that something isnt possible but it is you just used the wrong method at the start and now have to go back and change some items around in ingest as an example in order to make it possible. Theirs no 1 way of doing things which sometimes makes it complicated as you know it may be able to be done but you just didnt pick the correct method.
What problems is the product solving and how is that benefiting you?
Elastic is making it easy to search documents and find the information you are looking for. With elasticsearch i am able to search for my documents and find them really easily as well as in a very quick manner. Elastic makes it easy to find data. Elastic also has a good amount of security audit logs that can be used in order to track what is occuring within the instance and monitor to ensure everything is working as intended.
Smooth and Easy to setup
What do you like best about the product?
Pretty easy to install and implement on openshift clusters and also provides quick search on the documents ingested
What do you dislike about the product?
As we are using it for a specific purpose, we are not experiencing any issues as of now.
What problems is the product solving and how is that benefiting you?
Searching through the documents and providing the quick response on the requested data.
Elastic for Security
What do you like best about the product?
The ease of implementation for the entire stack has been the greatest asset of our deployment. The amount of integrations and ability to get data from a lot of locations has been great.
What do you dislike about the product?
Support has been an issue for me lately, I have had to repeat my statements numerous times in cases instead of just reading what was posted. I can't fault 100% elastic as I have had similar issues with other companies as well.
What problems is the product solving and how is that benefiting you?
Solution has provided us a SIEM at a Costpoint that didn't break the bank.
Amazing solution for introducing AI search with great company support
What do you like best about the product?
The tool is comprehensive yet still approachable and well documented for all configuration needs.
What do you dislike about the product?
Creating a support case does not always lead to quickly talking to a domain expert and it's often better to go through the sales engineer for help.
What problems is the product solving and how is that benefiting you?
Enterprise data search and monitoring/logs
Great logging and SIEM platform
What do you like best about the product?
Speed of search. Security features. AI. Dashboards.
What do you dislike about the product?
Support has became less helpful. Cost is high. Many features are buggy at times.
What problems is the product solving and how is that benefiting you?
PCI compliance retention. SIEM. Dashboards. Historical searching.
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