Elastic Search Reviews

ELK provides 

• good end to end log monitoring
• Logstash grok pattern
• elasticserach indexing
• easily configurable Kibana dashboards
• feature rich and appealing Kibana UI, as its USP.

The product offers a powerful, cost effective solution for proprietary log management and is easy to understand and start with. This saves cost as well as enhances usability.

The open source version should ship basic security versions with it. Alerting is an important feature which is not available in the open source stack.

About two years.

Stability issues can be seen with Logstash and can be addressed using Kafka. Also, data collections may not be 100% optimal using Filebeat and could be further improved.

The product is highly scalable, especially on the database side (elasticserach).

Have worked on the open source version and, hence, I don't have much information about tech support.

I have not worked with another solution.

The setup is straightforward for PoC, but becomes complex while scaling it or deploying it for production.

Yes, I evaluated GrayLog and Fluentd, but ELK was more feature rich.

The ELK open source stack is rich in features but lacks the essential security features.

ELK is one of the best open source alternatives for log management. If alerting and security features can be built by the team internally, on top of the stack, then the product is for sure going to add a lot of value to business.

We are using ELK Elasticsearch in a database. We use both Logstash and Kibana. Kibana is used for monitoring where the data is coming from.

The solution has good security features. I have been happy with the dashboards and interface.

There are some features lacking in ELK Elasticsearch.

I have been using ELK Elasticsearch for approximately two years.

We had some stability issues where we could not access the application.

We have approximately five people in my organization using ELK Elasticsearch.

All the installations were directly set up on the local servers.

The solution is free.

Elasticsearch is open source.

I rate ELK Elasticsearch an eight out of ten.

My organization works in the healthcare industry and we use this product as our database.

When we have questions about our data then we use Elasticsearch to make queries.

The most valuable feature is that I can push data to Elasticsearch using Logstash.

Technical support should be faster.

I have been using Elasticsearch for about one year.

This is a stable product.

Elasticsearch is scalable, although we only have about five users and they are not constant. We do plan to increase our usage in the future.

The initial installation and setup were straightforward. It will take a few minutes to deploy.

Our in-house team was responsible for the deployment.

This product is open-source and can be used free of charge.

I also use Kibana, which is integrated with Elasticsearch. Kibana is for visualization and we can also customize Elasticsearch using Kibana.

In summary, Elasticsearch is a very useful product that I can quickly recommend.

I would rate this solution an eight out of ten.

We use the product for log management. 

The products comes with REST APIs. 

Elastic Search needs to improve authentication. It also needs to work on the Kibana visualization dashboard. 

I have been using the product for six years. 

I rate the product's stability a nine out of ten. 

I rate Elastic Search's scalability a ten out of ten. 

The technical team needs to improve their response time. 

Positive

The tool's deployment is easy. It took us one day to deploy a seven-node Elastic Search cluster. 

Elastic Search is open-source, but you need to pay for support, which is expensive. 

The solution suits medium to large companies better. I rate it a nine out of ten.