Using Kibana, its a great place for collecting and analyzing logs Review collected by and hosted on G2.com.

Sometimes it overflows memory with some "ghost" data that you dont even need Review collected by and hosted on G2.com.

I like using Elastic Stack because it helps me learn by making it easy to understand and work with real-world data. It's useful for debugging issues when a user complains, as I can figure out which API wasn't working. I appreciate how Elastic Stack helps me understand API calls and timings. Review collected by and hosted on G2.com.

Elastic dashboards sometimes do not refresh properly. Review collected by and hosted on G2.com.

Strong out-of-the-box features and dashboards, plus automatic correlations. There’s also a lot of customization available with plenty of options, and the user interface feels intuitive and easy to navigate. Review collected by and hosted on G2.com.

Anomaly detection and categorization can be hard to manage, especially when there’s a high number of unique entities. I also feel it’s missing more built-in dashboards and templates tailored to specific adapters or data sources. Review collected by and hosted on G2.com.

Elastic Stack offers an excellent combination of real-time search, analytics, and visualization capabilities. Elasticsearch’s full-text search is incredibly fast and scalable, Logstash provides robust data ingestion pipelines, and Kibana makes it easy to create rich, interactive dashboards. Its open-source nature and large community are also major strengths, allowing for flexible customization and broad plugin support. It seamlessly integrates with other tools and supports a wide range of data formats. Review collected by and hosted on G2.com.

While Elastic Stack is powerful, it can be resource-intensive, especially as data volume grows. Managing clusters and ensuring optimal performance may require deep expertise, particularly with memory and disk usage. The learning curve can be steep for beginners, and commercial licensing for advanced features like machine learning can get expensive. Additionally, troubleshooting Logstash pipelines sometimes lacks clarity and good debugging tools. Review collected by and hosted on G2.com.

Elastic brings logs, metrics, traces, and search together in one platform. Having everything in a single, unified view makes it easier for teams to correlate issues more quickly and understand system behavior from end to end. Review collected by and hosted on G2.com.

Managing clusters, sizing shards correctly, setting up index lifecycle policies, and handling upgrades all require real experience. Without the right tuning and ongoing attention, performance can gradually degrade, and clusters may become unstable. Review collected by and hosted on G2.com.

It’s pretty easy to integrate, and the software seems to evolve at a decent pace. Review collected by and hosted on G2.com.

The pricing for the paid enterprise software could be better, especially considering that much of this stack has been built on open-source contributions. Review collected by and hosted on G2.com.

Elastic Stack offers a seamless way to collect, search, analyze, and visualize logs and metrics from disparate systems. The integration between Elasticsearch, Logstash, Beats, and Kibana (ELK) is smooth and highly configurable. Its flexibility across different deployment models — self-managed, cloud, hybrid — is extremely valuable. Kibana’s dashboards are powerful for building real-time visualizations and alerts. Review collected by and hosted on G2.com.

So far, I haven’t encountered any significant issues or limitations with Elastic Stack. It has performed reliably across use cases, and the documentation and community support have been strong. Any learning curve or complexity has been manageable with proper setup. Review collected by and hosted on G2.com.

I like best about Elastic Stack is its speed and flexibility Review collected by and hosted on G2.com.

Elasticsearch clusters require a lot of memory, storage, and CPU, which can make it expensive at scale Review collected by and hosted on G2.com.

Kibana is an open source data visualization plugin for Elasticsearch. It provides us with a way to easily create and share beautiful dashboards filled with dynamic charts, graphs, and maps. It makes it easy to find insights in your data, and since it's fully integrated with Elasticsearch, you can use it to search, analyze, and visualize your data all in one .It's a definite recommendation for data analysis because it's so user-friendly and versatile. Review collected by and hosted on G2.com.

Major complaint is that it can be slow to load data sets, particularly those that are large. Additionally, I find the built-in visualizations confusing and difficult to use. It also does not currently have a way to export charts and graphs Review collected by and hosted on G2.com.

Since I started using the Elastic Stack, I found it incredibly helpful. It makes it very easy to find the specific logs you want to see, thanks to its simple UI. Once you understand its features, it becomes effortless to use in your daily work. What amazes me the most is how fast it performs, especially as a programmer myself. I use it daily because, with Elastic, finding anything in production is quick and straightforward, and it's also very easy to integrate. Review collected by and hosted on G2.com.

The thing which I dislike about the elastic stag was if we have some such criteria and behalf of that we have some result so if we want the particular thread which are come across or which are nearby to the thread which was in result is not easily accessible also the server are many as I already mention altho is someone there to guide you it is very easy to understand and start working on elastic stack the difficulty I have face while using elastic stack it was in starting when I started using elastic stack there was many servers and I am not aware which want to use for the production and which one to use for test environment if some one read the documentation i think it will be very easy to understand in starting it self Review collected by and hosted on G2.com.