Elastic Stack

RATING:

4.6

(67)

About Elastic Stack

Built on a foundation of free and open, Elasticsearch, Logstash, Kibana, and Beats pave the way for diverse use cases that start with logging and span as far as your imagination takes you. Elastic features like machine learning, security, and reporting compound that value — and since they’re made for Elastic, you'll only find them from us. Reliably and securely take data from any source, in any format, then search, analyze, and visualize it in real time.

Elastic Stack Pricing

Elasticsearch offers a 14-day free trial of the Standard plan without requiring credit card details, after which users can choose from 4 paid subscription plans. The Standard plan starts at $16/month, and provides access to core security features and solutions including APM, SIEM, and Maps. The Gold plan adds custom plugins, while the Platinum plan offers advanced security features and machine learning. Elasticsearch's Premium plan also includes endpoint detection and response, protection, and event collection capabilities. Pricing for Gold, Platinum, and Enterprise plans is available on request.

Starting price: 

$16.00 per month

Free trial: 

Available

Free version: 

Not Available

Elastic Stack Reviews

Overall Rating

4.6

Ratings Breakdown

Secondary Ratings

Ease-of-use

4

Customer Support

4

Value for money

4.5

Functionality

4.5

Most Helpful Reviews for Elastic Stack

1 - 5 of 67 Reviews

User Profile

Mo

Verified reviewer

Information Technology and Services, 2-10 employees

Used weekly for more than 2 years

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

3

VALUE FOR MONEY

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

5

Reviewed April 2022

Elastic Cloud on Kubernetes for best scalability

Organizing chat data to be searchable and log management to proactively fix issues.

PROS

One of the best features I like is that Elastic built their own kubernetes operator to extend the k8s orchestration and make it easy to deploy, scale, change, secure and configure hot-warm infrastructures. Their operator saves a ton of time during configuration. I have deployed stacks on different k8s architectures like Azure Kubernetes Service, Amazon Elastic Kubernetes Service and small on prem clusters with microk8s without issues. When we reach performance thresholds we add more elastic nodes and ECK secures and joins it to the cluster and in minutes we can leverage the extra compute. A lot of changes that are done after going to PROD are non-disruptive since ECK is aware of the main node and makes sure to pass the master role before the main one is re-deployed. I have also migrated Elastic Cloud Enterprise deployments running on bare metal and the stability of ECK is unmatched.

CONS

Currently it is not recommended or supported for a PROD cluster to do its own self monitoring so you have to deploy a monitoring cluster. In cloud scenarios this adds costs and extra complexity so it will be great to have this feature supported.

Anonymous

51-200 employees

Used daily for more than 2 years

Review Source: Capterra
This review was submitted organically. No incentive was offered

OVERALL RATING:

5

EASE OF USE

4

VALUE FOR MONEY

5

FUNCTIONALITY

5

Reviewed February 2023

A very good stack to store and visualize data.

Overall I am happy with my decision to choose Elastic Stack. It is completely fulfilling my requirements without any issues.Kibana works very well even with a lot of data.

PROS

I mostly like the Elastic Search queries. Those follow a certain standard and work very well. Data retrieval is very easy and fast in Elastic Search.Visualizing data thru Kibana is very smooth and straightforward. It supports a couple of inbuilt dashboards to represent the data nicely.

CONS

Nothing to dislike about Elastic Stack. The only thing is configuration and setup should be correct. It could take some time for beginners.

Reasons for switching to Elastic Stack

Searching was complex in Datadog in comparison to Elastic Stack. Elastic Stack provides more features than Datadog.

Victor Luis

Used monthly for less than 6 months

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

3

EASE OF USE

3

VALUE FOR MONEY

3

FUNCTIONALITY

3

Reviewed March 2018

This powerful tool allows you to take data from any source and format to search and analyze.

PROS

It is a super fast and efficient data extraction tool. Recommended for medium-sized projects. Handles large amounts of data, is scalable.

CONS

Usable from any device, however these must be state-of-the-art and offer great calculation speeds and ram storage.

Anonymous

10,000+ employees

Used daily for less than 2 years

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

5

VALUE FOR MONEY

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

5

Reviewed August 2022

Elastic Stack - A Complete Package for Big Data Visualizations and Fast Data Query!

Elastic Stack is a powerful platform which allows you to quickly search and query on the data even if the data is in huge volume, thanks to its distributed computing and storage. it has enabled me to develop an application which fetches results from TBs of data in seconds.

PROS

1.Allows Faster searching and query operations 2.Provides with easy data visualization for analysis 3.Support for multiple data sources 4.Good SDK support for quick integration with application 5.Scalable as per the requirement with support of kubernetes

CONS

1.UI is simple ,could be made more robust and dynamic 2.Calculations and processing speed can be further improved 3.Proper usage knowledge is required when using it on scalable platforms

Reasons for switching to Elastic Stack

Apart from data visualization capability Elastic Stack comes with seach and query functionality

User Profile

Gedson

Verified reviewer

Telecommunications, 11-50 employees

Used daily for more than 2 years

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

4

EASE OF USE

4

VALUE FOR MONEY

4

CUSTOMER SUPPORT

4

FUNCTIONALITY

5

Reviewed March 2019

The perfect searching allied to a RDB

We've been pairing Elasticsearch with a traditional RDB in many projects with great results. This way we don't compromise our data reliability and searching speed is blazing fast.

PROS

Searching is where elasticsearch is second to none, either in terms, n-grams or full-text. Latest releases have greatly improved the aggregation performance, so it's also a great fit for analytics workloads. The customizable sharding and replica configurations make is very reliable too.

CONS

Searching and joining different documents has room for improvement, it's usualy not as fast as we would like it to be, so most of the times we end up un-normalizing documents and en-richening their data to boost searching performance.