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Fast, Customizable Search with Strong Community Support
What do you like best about the product?
I use Elasticsearch to build search products for websites, and I appreciate the fast and highly customizable search experience it provides. I like that it solves problems related to indexing and search speed, and its ability to heavily customize the search experience while incorporating AI is very beneficial. I find the supportive community around Elasticsearch really valuable. There's lots of support when building with it, and the good documentation makes things easier. The technical support is accessible if I need more help. I also enjoy the regular events like ElasticON, which are free and allow people to learn how to use the products better. Additionally, the initial setup was really easy thanks to the great documentation.
What do you dislike about the product?
Sometimes, the Elastic Cloud 'PaaS' experience is a little more hands-on than we'd expect. We have to really dig into areas we don't expect to investigate/fix things. We expected it to be managed by Elastic but it's not totally hands off.
What problems is the product solving and how is that benefiting you?
I use Elasticsearch to build search products, providing fast, customizable search and adding AI to enhance the search experience.
End-to-End Coverage from Ingestion to Observability, ML, SIEM/XDR, and Reporting
What do you like best about the product?
Everything from handling ingestion to observability + ML + SIEM +XDR + reporting
What do you dislike about the product?
it is good and bad in the same time , it is hard to follow all new features at time.
plus if more concret application is added o doc this would be great for better understanding of functialities
plus if more concret application is added o doc this would be great for better understanding of functialities
What problems is the product solving and how is that benefiting you?
Log & Metric managemnt across Observability/SIEM this is giving the user a clear view on what is going on
Impressive Speed and Powerful Near Real-Time Search with Elasticsearch
What do you like best about the product?
Elasticsearch delivers impressive search speed and strong performance, even when working with massive datasets. Its near real-time search capability, combined with powerful full-text search features, makes it a key part of our data infrastructure.
What do you dislike about the product?
Elasticsearch can be quite resource-intensive, particularly when it comes to RAM usage. For smaller infrastructure setups, managing JVM heap sizes and making sure the cluster has sufficient memory can quickly become a bit of a headache.
What problems is the product solving and how is that benefiting you?
Elasticsearch solves the problem of searching through massive amounts of unstructured data that traditional SQL databases struggle to handle efficiently. It provides a highly scalable, distributed environment that ensures fast retrieval times.
This benefits me by significantly reducing latency in our application's search feature and providing powerful analytical tools through its aggregation framework. It allows us to monitor logs in real-time and deliver a seamless, Google-like search experience to our end users.
This benefits me by significantly reducing latency in our application's search feature and providing powerful analytical tools through its aggregation framework. It allows us to monitor logs in real-time and deliver a seamless, Google-like search experience to our end users.
Fast, Scalable Elasticsearch for Quick Log Analysis
What do you like best about the product?
From our use, Elasticsearch is fast, scalable and provides quick results for querying which makes it very useful for any log analysis
What do you dislike about the product?
Operational cost is increasing
Shard allocation and indexing can be made easier to configure
Shard allocation and indexing can be made easier to configure
What problems is the product solving and how is that benefiting you?
We use ELK for log parsing, and with it its ability to respond quickly to queries helps us identify issues and get clues about what’s going wrong much faster.
Efficient Log Management & Search with Excellent Support
What do you like best about the product?
Very efficient product to manage our logs and search
The support is easy to interact with and the quality of the answers are perfect
The support is easy to interact with and the quality of the answers are perfect
What do you dislike about the product?
When it is self managed, a bit tedious to update
What problems is the product solving and how is that benefiting you?
Centralizing our documentation and making it available in quick search is really great
Powerful Search Platform for Enterprise-Scale Operations
What do you like best about the product?
What I like best about Elasticsearch is its powerful search and aggregation capabilities combined with high performance at scale. We support over 100 customers who use it daily in their operations, and Elasticsearch consistently handles large data volumes with fast response times.
From a support perspective, features like detailed query capabilities, clear APIs, and strong integration within the Elastic Stack significantly improve our workflow. Kibana dashboards help us quickly analyze customer issues, review logs, and identify performance bottlenecks without needing custom tools. This often reduces troubleshooting time from hours to minutes.
An unexpected benefit has been how flexible and scalable the platform is across different customer environments. It allows us to support diverse use cases while maintaining a relatively standardized architecture.
From a support perspective, features like detailed query capabilities, clear APIs, and strong integration within the Elastic Stack significantly improve our workflow. Kibana dashboards help us quickly analyze customer issues, review logs, and identify performance bottlenecks without needing custom tools. This often reduces troubleshooting time from hours to minutes.
An unexpected benefit has been how flexible and scalable the platform is across different customer environments. It allows us to support diverse use cases while maintaining a relatively standardized architecture.
What do you dislike about the product?
One of the main challenges with Elasticsearch is the complexity of configuration and tuning, especially in larger or high-availability clusters. For customers without deep expertise, settings around JVM tuning, shard allocation, and performance optimization can be difficult to manage. This often increases the support workload and extends troubleshooting time.
Version upgrades can also be demanding. Breaking changes between major versions and strict compatibility requirements sometimes require careful planning and additional testing, which impacts customer environments and maintenance windows.
Customers often ask about the possibility of reverting to the previous version, but this is not possible.
In such cases, we have to come up with our own workarounds.
Improved backward compatibility, clearer upgrade paths, and more built-in automated diagnostics for cluster health and performance tuning would significantly reduce operational overhead for both customers and support teams.
Version upgrades can also be demanding. Breaking changes between major versions and strict compatibility requirements sometimes require careful planning and additional testing, which impacts customer environments and maintenance windows.
Customers often ask about the possibility of reverting to the previous version, but this is not possible.
In such cases, we have to come up with our own workarounds.
Improved backward compatibility, clearer upgrade paths, and more built-in automated diagnostics for cluster health and performance tuning would significantly reduce operational overhead for both customers and support teams.
What problems is the product solving and how is that benefiting you?
Many of our customers struggled with slow database searches, limited reporting capabilities, and fragmented log storage. Troubleshooting incidents often required manually checking multiple systems, which was time-consuming and inefficient.
With Elasticsearch, they can centralize logs and operational data, perform fast full-text searches, and build real-time dashboards. As a result, tasks that previously took hours - such as identifying the root cause of an issue - can now often be completed in minutes.
For us as a support team, this has significantly reduced resolution times and improved SLA compliance. In many cases, incident investigation time has decreased by 50% or more, which directly benefits both our customers and our internal operations.
With Elasticsearch, they can centralize logs and operational data, perform fast full-text searches, and build real-time dashboards. As a result, tasks that previously took hours - such as identifying the root cause of an issue - can now often be completed in minutes.
For us as a support team, this has significantly reduced resolution times and improved SLA compliance. In many cases, incident investigation time has decreased by 50% or more, which directly benefits both our customers and our internal operations.
Fast, Flexible, and Innovative—Elasticsearch at Its Best
What do you like best about the product?
I appreciate its speed, flexibility, and innovation.
What do you dislike about the product?
There isn’t much to dislike about Elastic Search.
What problems is the product solving and how is that benefiting you?
It’s helping us improve our search platform and making it better overall.
Elasticsearch: The Best Engine for Fast Data Search and Analysis
What do you like best about the product?
Elasticsearch is the best platform/engine to analyze and search your data. With the AI capabilities Elastic is developing, it becomes even more powerful. Besides the company offers an excellent support.
I cannot imagine the current internet and technological world without Elasticsearch.
I cannot imagine the current internet and technological world without Elasticsearch.
What do you dislike about the product?
Documentation is sometimes hard to follow and navigating it feels confusing.
What problems is the product solving and how is that benefiting you?
You just put your data in Elasticsearch, and it can produce value. No matter if the data comes from old databases, files, logs, etc. Once it´s in Elasticsearch you extract all the value and knowledge from it.
Elasticsearch unifies multi-platform insights with powerful log search
What do you like best about the product?
Elasticsearch help to gather information from multiple platforms. Providing a single view for searching UI, search effectively from massive log data
What do you dislike about the product?
So far, we do not use much advance features in Elastic at this moment. When we have to use a certain feature in Elastic. We have to study the methodology and check from community for case reference. Also, there is less reference cases or examples that I cannot find easily if I want to arrange integration between Elasticsearch with third party application such as Oracle DB / Fortigate Firewall etc.
What problems is the product solving and how is that benefiting you?
For Telcom internal use: usually operator has many IoT device and application such as switch, router, server, VM and also many log file generated from them. The inventory is large and complex. We have use Elasticsearch to summarize the view to keep record and search these devices log. Also, with some known behavior or threshold for potential fault issue, we have set the alarm mechanism to trigger support team for troubleshooting for quick respond. In conclude, it helps me for inventory, reporting, monitoring and troubleshooting.
Easy to Use, Seamless GCP Integration with Zero Issues
What do you like best about the product?
The platform is very easy to use and very easy to integrate with GCP. We were able to get it to work directly in our tool with 0 issues.
What do you dislike about the product?
Expensive to scale. We have a lot of data we use to search and elastic just costs a lot so we need to set up lifecycle management
What problems is the product solving and how is that benefiting you?
search and full text lookup. We are in ecomm and customers need to look through products
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