Ease of use, its very easy to get started with simple and easy to follow intsructions

Good documentation

extremely customizable with the help of REST Apis

can be scaled quickly as its designed to be distributed from day 1

good community support Review collected by and hosted on G2.com.

Need to be expert in distributed systems and Elastic stack if managing big and mission crtical Elasticsearch clusters

ELK stack is very popular but has its own leaning curve when trying to achive more advanced use-case Review collected by and hosted on G2.com.

Elastic stack gives us the flexibility of searching our data efficiently. The best part of this stack is that it Review collected by and hosted on G2.com.

They do not allow easy handling of multiple documents and making buckets to search on a non index value Review collected by and hosted on G2.com.

Dashboards : these are best to get overview of entire jobs or functions.

I love querying and logging logs to elastic which we can query very easily and filter data we require.The best part is date range we can filter the results with date range filter is amazing. Review collected by and hosted on G2.com.

It's kind of steep learning curve and sometimes results will fetch too much data if you don't specify exactly what you are looking for.Ui is not great but it's okay to work with. Review collected by and hosted on G2.com.

You can ingest just about anything into the Elastic stack. You can do just about anything you want with your data as well. As far as SIEMs are concerned, it is probably one of the most powerful for the least amount of money. Review collected by and hosted on G2.com.

Somewhat of a steep learning curve. When your clusters really start to grow, you have to know what you are doing with all the different nodes, ILM policies, indices and shards to keep the cluster healthy. Review collected by and hosted on G2.com.

Open Source: As the components of Elastic stack are open -source, it can be implemented without any licensing cost and easily

Ease of Implementation: The components of Elastic stack like Kibana, Elastic search can be implemented easily Review collected by and hosted on G2.com.

Less Support for OpeN Source Version of the Elastic stack as we have to search forums and understand the issue. But as the product is stable, such issues seldom occur as well. Review collected by and hosted on G2.com.

I have integrated elastic stack in lots of apps for real time logging and I feel this as a boon for developers Review collected by and hosted on G2.com.

Elastic stack is little Complex to understand for beginners due to its complex integration structure. Review collected by and hosted on G2.com.

Scalability for any volume of organised or unstructured data Review collected by and hosted on G2.com.

Nothing specifically, but a very scalable engine to handle the data Review collected by and hosted on G2.com.

Lot of data visulisation in a very easy way Review collected by and hosted on G2.com.

The colors used are not very distinct to read and takes lot of time to load sometimes Review collected by and hosted on G2.com.

We used Elastic Stack for our central logging architecture. Elastic stack provides great logging solution with their different components which helps in shipping , aggregation and visualization of data. Review collected by and hosted on G2.com.

Too many different components should be used to create an architecture for logging or search depending on requirements. Review collected by and hosted on G2.com.

ELK stack is very powerful and provides almost everything for log analytics use cases. Kibana is pretty easy and allows us build powerful dashboards very queickly to give insights into system. Review collected by and hosted on G2.com.

The system becomes very slow when we have a vast amount of data. Sometimes we need to archive/purge the data so that its manageable. Also, sometimes the data ingestion is slow compared to other stacks. Review collected by and hosted on G2.com.