Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time analytics with Elastic benefits us due to the huge traffic volume in our organization, which reaches up to 60,000 requests per second. With logs of approximately 25 GB per day, manually analyzing traffic behavior, payloads, headers, user agents, and other details is impractical.
The most valuable features of Elastic Enterprise Search are it's cloud-ready and we do a lot of infrastructure as code. By using ELK, we're able to deploy the solution as part of our ISC deployment.
The flexibility and the support for diverse languages that it provides for searching the database are most valuable. We can use different languages to query the database.
Technical Manager at a computer software company with 51-200 employees
Real User
Jul 8, 2021
I like how it allows us to connect to Kafka and get this data in a document format very easily. Elasticsearch is very fast when you do text-based searches of documents. That area is very good, and the search is very good.
There's lots of processing power. You can actually just add machines to get more performance if you need to. It's pretty flexible and very easy to add another log. It's not like 'oh, no, it's going to be so much extra data'. That's not a problem for the machine. It can handle it.
We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company.
Elasticsearch is a prominent open-source search and analytics engine known for its scalability, reliability, and straightforward management. It's a favored choice among enterprises for real-time data search, analysis, and visualization. Open-source Elasticsearch is free, offering a comprehensive feature set and scalability. It allows full control over deployments but requires managing and maintaining the infrastructure. On the other hand, Elastic Cloud provides a managed service with features...
Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time analytics with Elastic benefits us due to the huge traffic volume in our organization, which reaches up to 60,000 requests per second. With logs of approximately 25 GB per day, manually analyzing traffic behavior, payloads, headers, user agents, and other details is impractical.
Data indexing of historical data is the most beneficial feature of the product.
We can easily collect all the data and view historical trends using the product. We can view the applications and identify the issues effectively.
The products comes with REST APIs.
The most valuable features are its user-friendly interface and seamless navigation.
I appreciate that Elastic Enterprise Search is easy to use and that we have people on our team who are able to manage it effectively.
The solution is valuable for log analytics.
I am impressed with the product's Logstash. The tool is fast and customizable. You can build beautiful dashboards with it. It is useful and reliable.
It gives us the possibility to store and query this data and also do this efficiently and securely and without delays.
It is stable.
The solution is stable and reliable.
The AI-based attribute tagging is a valuable feature.
The most valuable feature of Elastic Enterprise Search is user behavior analysis.
The observability is the best available because it provides granular insights that identify reasons for defects.
A nonstructured database that can manage large amounts of nonstructured data.
Search is really powerful.
The most valuable feature of Elastic Enterprise Search is the opportunity to search behind and between different logs.
The most valuable feature of Elastic Enterprise Search is the Discovery option for the visualization of logs on a GPU instead of on the server.
The most valuable features of Elastic Enterprise Search are it's cloud-ready and we do a lot of infrastructure as code. By using ELK, we're able to deploy the solution as part of our ISC deployment.
The flexibility and the support for diverse languages that it provides for searching the database are most valuable. We can use different languages to query the database.
The most valuable features are the detection and correlation features.
Elasticsearch includes a graphical user interface (GUI) called Kibana. The GUI features are extremely beneficial to us.
The initial setup is very easy for small environments.
I like how it allows us to connect to Kafka and get this data in a document format very easily. Elasticsearch is very fast when you do text-based searches of documents. That area is very good, and the search is very good.
I really like the visualization that you can do within it. That's really handy. Product-wise, it is a very good and stable product.
The search speed is most valuable and important.
It's a stable solution and we have not had any issues.
You have dashboards, it is visual, there are maps, you can create canvases. It's more visual than anything that I've ever used.
The UI is very nice, and performance wise it's quite good too.
ELK Elasticsearch is 100% scalable as scalability is built into the design
The most valuable feature is the out of the box Kibana.
The initial installation and setup were straightforward.
The most valuable features are the ease and speed of the setup.
There's lots of processing power. You can actually just add machines to get more performance if you need to. It's pretty flexible and very easy to add another log. It's not like 'oh, no, it's going to be so much extra data'. That's not a problem for the machine. It can handle it.
Dashboard is very customizable.
The product is scalable with good performance.
I value the feature that allows me to share the dashboards to different people with different levels of access.
The most valuable features are the data store and the X-pack extension.
The special text processing features in this solution are very important for me.
The most valuable feature for us is the analytics that we can configure and view using Kibana.
We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company.