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.
External reviews
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Elk usage on elastic using kibana dashboards
What do you like best about the product?
Log monitoring and it's feature to identify anomalies using enterprise elk license version and creating the dashboards on elastic are so easy
What do you dislike about the product?
Nothing all features including th exam agents features are very good for elastic
What problems is the product solving and how is that benefiting you?
Log monitoring and other features of elk including the anomaly detection and elastic apn agent where we are monitoring application performance. Capturing all logs and shown for dashboard helped in all ways to reduce incidents in applications
Very good experience
What do you like best about the product?
The platform offers both hot and cold storage options, which is useful for managing data efficiently. I also appreciate the log monitoring capabilities provided through ELK, as well as the ability to create dashboards in Kibana.
What do you dislike about the product?
Everything about elk is great; there’s really nothing I dislike about it.
What problems is the product solving and how is that benefiting you?
This tool provides both log monitoring and application performance monitoring, making it useful for tracking system activity and ensuring applications run smoothly.
Elastic as a replacement of Splunk
What do you like best about the product?
Deployment licensing model as compared to Splunk. Ease of use, and customer support, ease of implementation, elastic integrations.
What do you dislike about the product?
Learning curve, getting familiar with the KQL, and other aspects of indexing within ealstic.
What problems is the product solving and how is that benefiting you?
We needed a replacement for Splunk and decided to go with Elastic, it has solved our licensing issues, and our ability to scale our log management.
Elastic search - One Stop Solution for Enterprise Monitoring
What do you like best about the product?
I appreciate how dashboards can be tailored to suit the specific needs of different teams, allowing for a high level of customisation.
What do you dislike about the product?
Setting up can be complex because it involves integrating several tools, such as Kibana and Elastic, which adds to the overall difficulty.
What problems is the product solving and how is that benefiting you?
We can create impressive dashboards that provide valuable insights and highlight trends across various modules within the project. Additionally, the tool is used to send timely alerts, which makes monitoring much more straightforward.
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?
Amazon Web Services (AWS)
Unlocking the Power of Data with Fast Search and Analytics
What do you like best about the product?
1. Near real-time search
2. Hugh Scalability
3. In our scenario, it helps us to centralize logs and metrics from different systems into one searchable platform, helping our IT ops and security teams troubleshoot issues quickly.
4. It supports full-text search, filters, geospatial queries, and many more, all in the same engine.
2. Hugh Scalability
3. In our scenario, it helps us to centralize logs and metrics from different systems into one searchable platform, helping our IT ops and security teams troubleshoot issues quickly.
4. It supports full-text search, filters, geospatial queries, and many more, all in the same engine.
What do you dislike about the product?
1. High resource usage - It is high CPU and memory hungry product.
2. It is quite expensive and complex to manage at scale
2. It is quite expensive and complex to manage at scale
What problems is the product solving and how is that benefiting you?
1. It collects logs, metrics, and traces from apps, servers, firewalls, etc. into one platform.
2. It provides real-Time Analytics
3. Root cause analysis in minutes, doesn't take hours/days.
4. Centralized SIEM-like function for threat visibility.
5. Can handle increasing data from Yotta’s hyperscale environment.
6. Elasticsearch turns raw data into actionable insights in real-time — helping us run, secure, and scale our datacenter operations with speed and confidence
2. It provides real-Time Analytics
3. Root cause analysis in minutes, doesn't take hours/days.
4. Centralized SIEM-like function for threat visibility.
5. Can handle increasing data from Yotta’s hyperscale environment.
6. Elasticsearch turns raw data into actionable insights in real-time — helping us run, secure, and scale our datacenter operations with speed and confidence
Scalable, Reliable, and Insightful Platform for Search and Observability
What do you like best about the product?
As a Lead Solutions Architect, I've worked extensively with Elastic over the past few years, and it has become a cornerstone of our infrastructure. From log aggregation to real-time analytics and observability, Elastic consistently delivers high performance and flexibility.
We use Elasticsearch to power dashboards that process large volumes of data from various sources, including MySQL and Elastic Search itself. The ability to create custom indexes, mappings, and use REST APIs like Bulk and Multi Get has made our data ingestion and retrieval seamless. The platform’s support for metrics and aggregations has helped us build meaningful visualizations and improve operational decision-making.
Elastic’s integration with cloud platforms like Azure and AWS has been smooth. We've deployed Elastic Stack in production environments and leveraged its capabilities for distributed search, logging via Logstash, and visualization through Kibana. The training materials and internal documentation have been instrumental in onboarding new team members and scaling our usage.
What stands out most is Elastic’s commitment to innovation. Their recent push into Search AI and generative AI-powered applications, as highlighted in Elastic{ON} events , shows they’re not just keeping up—they’re leading.
Pros:
Powerful search capabilities with support for vector and semantic search
Scalable architecture for large datasets
Seamless integration with cloud and container platforms
Excellent visualization tools via Kibana
Strong community and documentation
Cons:
Initial setup and tuning can be complex for new users
Licensing and pricing models could be more transparent
We use Elasticsearch to power dashboards that process large volumes of data from various sources, including MySQL and Elastic Search itself. The ability to create custom indexes, mappings, and use REST APIs like Bulk and Multi Get has made our data ingestion and retrieval seamless. The platform’s support for metrics and aggregations has helped us build meaningful visualizations and improve operational decision-making.
Elastic’s integration with cloud platforms like Azure and AWS has been smooth. We've deployed Elastic Stack in production environments and leveraged its capabilities for distributed search, logging via Logstash, and visualization through Kibana. The training materials and internal documentation have been instrumental in onboarding new team members and scaling our usage.
What stands out most is Elastic’s commitment to innovation. Their recent push into Search AI and generative AI-powered applications, as highlighted in Elastic{ON} events , shows they’re not just keeping up—they’re leading.
Pros:
Powerful search capabilities with support for vector and semantic search
Scalable architecture for large datasets
Seamless integration with cloud and container platforms
Excellent visualization tools via Kibana
Strong community and documentation
Cons:
Initial setup and tuning can be complex for new users
Licensing and pricing models could be more transparent
What do you dislike about the product?
Cons:
Initial setup and tuning can be complex for new users
Licensing and pricing models could be more transparent
Initial setup and tuning can be complex for new users
Licensing and pricing models could be more transparent
What problems is the product solving and how is that benefiting you?
Faster Incident Response
You can quickly search logs and metrics to identify and resolve issues—minimizing downtime and improving MTTR (Mean Time to Recovery) .
Enhanced System Reliability
By leveraging Elasticsearch’s real-time capabilities and redundancy planning, you ensure that services remain available and performant even under stress .
Cost-Efficient Operations
Tools like LogsDB and Elastic Cloud Serverless reduce operational overhead and hidden costs, allowing you to store more data affordably while maintaining visibility.
Smarter Automation
Elasticsearch integrates well with automation pipelines (e.g., Logstash, Kibana), enabling you to automate routine tasks like log parsing, alerting, and dashboard generation.
Future-Proofing with AI
Elastic’s innovations in Search AI and GenAI observability empower you to monitor and optimize AI workloads, which is increasingly relevant in modern SRE practices.
You can quickly search logs and metrics to identify and resolve issues—minimizing downtime and improving MTTR (Mean Time to Recovery) .
Enhanced System Reliability
By leveraging Elasticsearch’s real-time capabilities and redundancy planning, you ensure that services remain available and performant even under stress .
Cost-Efficient Operations
Tools like LogsDB and Elastic Cloud Serverless reduce operational overhead and hidden costs, allowing you to store more data affordably while maintaining visibility.
Smarter Automation
Elasticsearch integrates well with automation pipelines (e.g., Logstash, Kibana), enabling you to automate routine tasks like log parsing, alerting, and dashboard generation.
Future-Proofing with AI
Elastic’s innovations in Search AI and GenAI observability empower you to monitor and optimize AI workloads, which is increasingly relevant in modern SRE practices.
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.
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.
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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