Elastic Stack
About Elastic Stack
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
Most Helpful Reviews for Elastic Stack
1 - 5 of 67 Reviews
Mo
Verified reviewer
Information Technology and Services, 2-10 employees
Used weekly for more than 2 years
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.
PROSOne 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.
CONSCurrently 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
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.
PROSI 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.
CONSNothing 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
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.
It is a super fast and efficient data extraction tool. Recommended for medium-sized projects. Handles large amounts of data, is scalable.
CONSUsable 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
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.
PROS1.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
CONS1.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
Gedson
Verified reviewer
Telecommunications, 11-50 employees
Used daily for more than 2 years
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.
PROSSearching 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.
CONSSearching 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.