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Elastic Stack vs Wazuh comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 9, 2024

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Customer Service

No sentiment score available
Elastic Stack's customer service is mixed, with valued expertise but slow responses, prompting reliance on community and forums.
No sentiment score available
Wazuh's customer service is highly rated, with excellent paid support and active community forums for troubleshooting assistance.
We use the open-source version of Wazuh, which does not provide paid support.
 

Room For Improvement

No sentiment score available
Elastic Stack struggles with dashboard implementation, integration issues, licensing concerns, and needs improvements in search, AI, and documentation.
Sentiment score
5.1
Wazuh's interface is complex, lacking integration, scalability, AI capabilities, and requires better support, efficiency, and automated features.
Elastic Stack needs more features similar to other SIEM tools such as Sentinel.
The integration modules are insufficiently developed, necessitating the creation of custom integration solutions using tools like Logstash and PubSub.
 

Scalability Issues

Sentiment score
4.0
Elastic Stack is praised for scalability and log handling, though manual setup and performance vary across teams.
Sentiment score
7.1
Wazuh's scalability is mixed, requiring technical expertise, with feedback ranging from four to ten, noting resource challenges.
The scalability is rated as four out of ten as it lacks auto detect and auto deploy features.
Scalability depends on the configuration and the infrastructure resources like compute and memory we allocate.
 

Setup Cost

No sentiment score available
Elastic Stack offers varied pricing with free and licensed options, considered competitive against IBM QRadar SIEM and others.
No sentiment score available
Wazuh is cost-effective but includes support and infrastructure expenses, appealing to smaller organizations despite scalability limitations.
We use Elastic Stack's open source version, so it is free for us.
Totaling around two lakh Indian rupees per month.
 

Stability Issues

Sentiment score
5.0
Elastic Stack's stability receives mixed reviews, influenced by server quality and company size, with ratings ranging from three to nine.
Sentiment score
7.2
Wazuh is generally stable with minor glitches, suitable for small to mid-level businesses, often affected by configuration issues.
The stability of the solution is rated as three or four out of ten.
The stability of Wazuh is strong, with no issues stemming from the solution itself.
 

Valuable Features

No sentiment score available
Elastic Stack offers seamless deployment, real-time monitoring, robust search, security, machine learning, and easy integration for diverse systems.
Sentiment score
7.9
Wazuh provides cost-effective, open-source security with integration, compliance, monitoring, and vulnerability assessment for diverse systems and platforms.
We found the MITRE framework mapping and the agent enrollment service to be the most valuable features of Wazuh.
 

Categories and Ranking

Elastic Stack
Ranking in Log Management
12th
Average Rating
7.8
Reviews Sentiment
6.0
Number of Reviews
15
Ranking in other categories
No ranking in other categories
Wazuh
Ranking in Log Management
2nd
Average Rating
7.4
Reviews Sentiment
6.5
Number of Reviews
44
Ranking in other categories
Security Information and Event Management (SIEM) (3rd), Extended Detection and Response (XDR) (4th)
 

Mindshare comparison

As of November 2024, in the Log Management category, the mindshare of Elastic Stack is 3.5%, up from 0.2% compared to the previous year. The mindshare of Wazuh is 17.1%, up from 13.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management
 

Featured Reviews

Mahesh Ramichetty - PeerSpot reviewer
A stable product that can be fine-tuned easily
Elastic Stack provides all sorts of things, so it provides Elasticsearch for the transformations into a specific format, and pipelines can be defined for distributed applications along with the logs that come in the JSON format, which is clean. It's only the enhancements or the security that the product lacks and needs to be enhanced. I don't think further enhancement of the features needs to be added to the solution because it is already equivalent to a monitoring or alerting system, like Dynatrace and other tools. Some developments in the area of AI, which Elastic Stack is currently working on, should be fine in terms of the enhancements. Whenever some critical issue happens, there should be some kind of a co-pilot that helps resolve the issue. The tool should learn from its own previous issues. If you take Databricks, you see that it provides a co-pilot for Python, so a similar kind of development in Elastic Stack would be a real asset for it. AI would be considered a good way to enable the tool further for more in 2024, and even a beta launch would be helpful. If you take any sort of cloud-native monitoring product, like Azure Monitor or AWS CloudWatch, you see that such products don't provide much of the insights. If you go with Azure Monitor for any sort of ML models to be there, Sentinel needs to be used from Azure, which is very costly. AI-enablement would be a big improvement in Elastic Stack. Everyone in the monitoring space, including Dynatrace and New Relic, has lately been discussing AI, but it doesn't seem to be coming out. If there is room for an ML model in Elastic Stack, then it would be good.
Vikrant Puranik - PeerSpot reviewer
It integrates seamlessly with AWS cloud-native services
I worked with Splunk, Curator, ArcSight, and some legacy solutions that no longer exist. They became obsolete or transitioned to a different product. Cost-effectiveness was one reason we switched. We had to decide whether to spend $500,000 on a commercial product or rely on our skills to deploy an open-source solution. The big difference between Wazuh and other solutions is maturity and customization. Wazuh's scalability and out-of-the-box functionality are slightly lagging behind, but Wazuh has improved a lot since the first time we saw it. Others have more search capabilities, whereas Wazuh depends on Elasticsearch. Searching is a bit slower in Wazuh.
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Top Industries

By visitors reading reviews
Computer Software Company
13%
Financial Services Firm
12%
Government
9%
Comms Service Provider
9%
Computer Software Company
16%
University
7%
Comms Service Provider
7%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Elastic Stack?
The tool is huge, and it performs brilliantly. I tested it for malware, and within two weeks of launching, the product alerted me about a network intrusion. This was a tough test for it, but it per...
What is your experience regarding pricing and costs for Elastic Stack?
I rate the product’s pricing as five out of ten, where one is cheap, and ten is expensive.
What needs improvement with Elastic Stack?
There could be better documentation. They should improve to capture more data because we have to migrate to another vendor called Wazuh, which provides a full-fledged capability compared to Elastic.
What do you like most about Wazuh?
Integrates with various open-source and paid products, allowing for flexibility in customization based on use cases.
What needs improvement with Wazuh?
The latest version, 4.9, has improved the interface significantly. I am yet to explore more about the update to identify further areas for improvement. So far, the recent updates have addressed mos...
What is your primary use case for Wazuh?
We use Wazuh for our Security Information and Event Management (SIEM) needs. It serves as a log aggregator and provides us the capability to monitor our servers for brute force attacks and other se...
 

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Overview

Find out what your peers are saying about Elastic Stack vs. Wazuh and other solutions. Updated: October 2024.
816,192 professionals have used our research since 2012.