ChaosSearch vs Elastic Observability comparison

ChaosSearch and Elastic are both solutions in the Log Management category. ChaosSearch is ranked #49 with an average rating of 6.0, while Elastic is ranked #14 with an average rating of 8.1. ChaosSearch holds a 0.0% mindshare in Log Management, compared to Elastic’s 1.4% mindshare. Additionally, 88% of Elastic users are willing to recommend the solution.

ChaosSearch

Read 1 ChaosSearch review

93 Views
44 Comparison Views

0% willing to recommend

Elastic Observability

Read 26 Elastic Observability reviews

2,840 Views
2,461 Comparison Views

88% willing to recommend

ChaosSearch

Elastic Observability

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between ChaosSearch and Elastic Observability based on real PeerSpot user reviews.

Find out what your peers are saying about Wazuh, Splunk, Datadog and others in Log Management.

To learn more, read our detailed Log Management Report (Updated: April 2025).

Buyer's Guide

Log Management

April 2025

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Review summaries and opinions

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

Categories and Ranking

ChaosSearch

Ranking in Log Management

49th

Average Rating

6.0

Reviews Sentiment

4.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Elastic Observability

Ranking in Log Management

14th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (7th), IT Infrastructure Monitoring (7th), Container Monitoring (4th), Cloud Monitoring Software (7th)

Mindshare comparison

As of May 2025, in the Log Management category, the mindshare of ChaosSearch is 0.0%, down from 0.0% compared to the previous year. The mindshare of Elastic Observability is 1.4%, down from 2.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management

Featured Reviews

reviewer2593014

Senior Data Engineer at a financial services firm with 1,001-5,000 employees

Cost-effective logging solution with room for search and interface improvement

Our primary use case is logging for everything within the company. We have a custom LogShipper, and for whatever deployments we have, we add the LogShipper into our containers, apply customer configurations to parse log files, and send desired fields to ChaosSearch. We then review logs on…

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Adelina Craciun

Product Owner at Swisscom

Customization enables tailored monitoring and alerting across departments

The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.

Read full review

Quotes from Members

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

Pros

"ChaosSearch is considered a cheaper alternative to Elastic."

"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."

"Machine learning is the most valuable feature of this solution."

"Its diverse set of features available on the cloud is of significant importance."

"The most valuable feature of Elastic Observability is the text search."

"The most valued feature of Elastic is its log analytics capabilities."

"The architecture and system's stability are simple."

"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."

"We can view and connect different sources to the dashboard using it."

More Elastic Observability pros

Cons

"The user interface could be more intuitive and requires improvement."

"During my time at Klarna, I didn't see any improvements from using ChaosSearch."

"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."

"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."

"The price is the only issue in the solution. It can be made better and cheaper."

"When opening tickets, we cannot use our team mailbox."

"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."

"Elastic Observability’s price could be improved."

"There's a steep learning curve if you've never used this solution before."

"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."

More Elastic Observability cons

Pricing and Cost Advice

Information not available

"Elastic Observability's pricing could be better for small-scale users."

"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."

"We will buy a premium license after POC."

"The product’s pricing needs improvement."

"The product is not that cheap."

"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."

"We have been using the open-source version."

"Pricing is one of those situations where the more you use it, the more you pay."

More Elastic Observability pricing and cost advice

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852,098 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

19%

Computer Software Company

15%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for ChaosSearch?

Pricing was a significant factor in choosing ChaosSearch, especially as an alternative to more expensive solutions like Elastic.

See all answers

What needs improvement with ChaosSearch?

The user interface could be more intuitive and requires improvement. The search function often feels wonky, making it difficult to find specific messages. There should be documentation or feature e...

See all answers

What is your primary use case for ChaosSearch?

See all answers

What do you like most about Elastic Observability?

Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...

See all answers

What is your experience regarding pricing and costs for Elastic Observability?

Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing. However, sizing and licensing information could be clearer.

See all answers

What needs improvement with Elastic Observability?

Of course, maintenance is necessary, as with any software, requiring updates with the latest features and security enhancements. It lacked some capabilities when handling on-prem devices, like netw...

See all answers

Comparisons

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Product Reports

Buyer's Guide

Log Management

April 2025

Download ChaosSearch product report

Buyer's Guide

Elastic Observability

May 2025

Download Elastic Observability product report

Overview

ChaosSearch boosts organizational data management and analysis, excelling in log analysis, cost-efficient data storage, and security analytics. Key features include managing vast data volumes, scalability, and a user-friendly interface, enhancing decision-making and efficiency across diverse industries without heavy infrastructure investments.

ChaosSearch

Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.

Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.

What are Elastic Observability's key features?

Economic licensing: Offers cost-effective plans.
Extensive metrics tracking: Helps in comprehensive system monitoring.
Comprehensive logging: Centralizes log data efficiently.
Performance Monitoring: Provides robust APM capabilities.
Integration: Seamlessly integrates with other solutions.
Kibana visualization: Facilitates data visualization and reporting.
Machine learning support: Enables advanced data analysis.
Flexible deployment: Supports various deployment environments.
Rapid log searches: Enhances quick incident response.
Accessibility: Offers extensive online documentation and connector support.

What benefits or ROI should users look for in Elastic Observability reviews?

Stability: Look for consistent performance and reliability.
Compliance: Effective monitoring aids in regulation adherence.
System Security: Enhanced system monitoring and alert management.
Cost-Effectiveness: Evaluate the economic pricing models.
Scalability: Adequate scalability options for growing needs.

Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.

Elastic

Sample Customers

Transeo, HubSpot, Revinate

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

Find out what your peers are saying about Wazuh, Splunk, Datadog and others in Log Management. Updated: April 2025.

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