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Elastic Observability vs Rapid7 InsightOps 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:
 

Categories and Ranking

Elastic Observability
Ranking in Log Management
14th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Application Performance Monitoring (APM) and Observability (10th), IT Infrastructure Monitoring (16th), Container Monitoring (5th), Cloud Monitoring Software (11th)
Rapid7 InsightOps
Ranking in Log Management
28th
Average Rating
9.0
Reviews Sentiment
6.0
Number of Reviews
10
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2026, in the Log Management category, the mindshare of Elastic Observability is 1.3%, down from 1.5% compared to the previous year. The mindshare of Rapid7 InsightOps is 0.7%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Mindshare Distribution
ProductMindshare (%)
Elastic Observability1.3%
Rapid7 InsightOps0.7%
Other98.0%
Log Management
 

Featured Reviews

Mohammed-Abdelalim - PeerSpot reviewer
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities
In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.
reviewer1247523 - PeerSpot reviewer
Head of Sales Services Department at a comms service provider with 51-200 employees
Customization and automation streamline workflows for seamless operations
The features of Rapid7 InsightOps that I have found most valuable are the predefined policies and the use of correlation rules, which are very valuable because they eliminate the need to spend time creating those rules. This feature detects insider threats or compromised credentials by using user behavior analytics, which can collect other compromise indicators. It makes it easier to install and implement this solution because you can run it as normal behavior of users and then switch off to look for the anomalous behavior of any entities, such as laptops and others. In any violation or restricted behavior, the system will notify you that something unusual is occurring. The machine learning algorithms in Rapid7 InsightIDR for threat detection work quite effectively as part of the user entity behavior analytic model, allowing us to focus group normal typical behavior of users and then turn on the rule to spot any unexpected behavior. The automation features of Rapid7 InsightOps are quite satisfactory, as users appreciate these features, especially when integrating with the ticketing system. If something goes wrong, InsightOps will notify the ticketing system to create a ticket and assign it to the responsible person to handle the events found in the infrastructure. The customizable dashboards in Rapid7 InsightOps are quite valuable and interesting because SOC center operators spend most of their time investigating on those dashboards, making them easy to manage. Additionally, we can configure email reports for high-level talks, sending historical data without needing to look online, which is very convenient.

Quotes from Members

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

Pros

"The solution allows us to dig deep into data."
"Good design and easy to use once implemented."
"All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important."
"I found Elk to be excellent for log analytics, security analytics, application code-level analytics, collaboration with DevOps teams, CI/CD, microservices, and Kubernetes, specifically cloud-native or cloud-specific tasks."
"The customizable dashboards in Elastic Observability allow us to group relevant data to specific aspects of our solution, giving us around 20 interlinked dashboards which provide an overview, and if one aspect shows weird behavior, we can focus on that specific aspect of our software with a dedicated dashboard."
"It is very stable, and I would rate it ten out of ten based on my interaction with it."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"I use it as a security incident and event management system, and it has the ability to alert and track logs from different sources."
"The machine learning algorithms in Rapid7 InsightIDR for threat detection work quite effectively as part of the user entity behavior analytic model, allowing us to focus group normal typical behavior of users and then turn on the rule to spot any unexpected behavior."
"The most valuable feature of Rapid7 InsightOps is the search functionality."
"My advice to others is this is an easy-to-use solution and they should try it out."
"The ability to browse logs from multiple sources at the same time really speeds up root cause analysis."
"Integration of InsightOps with other tools, especially SIEM solutions, has generally improved operational efficiency."
"We can save logs as plain text."
"The log aggregation and research capabilities are definitely what pays for itself."
 

Cons

"The auto-discovery isn't nearly as good. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side."
"Elastic Observability’s price could be improved."
"When opening tickets, we cannot use our team mailbox."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"The interface could be improved."
"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."
"Improvement is needed in the dashboard of InsightOps, especially for less technical users."
"Rapid7 InsightOps could improve by making the search query better. There are times when the search query is broken and it does not find anything."
"Since I used the beta, improvements are to be expected. The dashboard options could have been clearer, but I believe it is more a problem with the limited documentation available at the time."
"There are a few things I would like to do with a few more complex queries which I am not able to do right now, because it is a SaaS solution."
"The solution takes a little bit of time when we load the website for the first time."
"Since I used the beta, improvements are to be expected. The dashboard options could have been clearer, but I believe it is more a problem with the limited documentation available at the time."
"The searching capability, or when you ask real time questions, is pretty decent but it's still not up to par with, say, Splunk."
"There were some difficulties in product setup, but after those issues were resolved, there were no issues."
 

Pricing and Cost Advice

"Pricing is one of those situations where the more you use it, the more you pay."
"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."
"The product is not that cheap."
"Elastic Observability's pricing could be better for small-scale users."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"The product’s pricing needs improvement."
"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."
"We have been using the open-source version."
"The product is cheap."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
12%
Manufacturing Company
7%
Government
7%
Manufacturing Company
13%
Construction Company
12%
Computer Software Company
9%
Media Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise16
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise3
 

Questions from the Community

What is your experience regarding pricing and costs for Elastic Observability?
The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...
What needs improvement with Elastic Observability?
After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...
What is your primary use case for Elastic Observability?
My use case for Elastic Observability is observability, as we upload our customers' data, including logs, and when there is an issue, we can analyze what went wrong.
What do you like most about Rapid7 InsightOps?
Integration of InsightOps with other tools, especially SIEM solutions, has generally improved operational efficiency.
What needs improvement with Rapid7 InsightOps?
In my opinion, there are no specific areas of Rapid7 InsightIDR that need improvement because all solutions in the SIEM market, including InsightOps and its competitors, are doing the same things b...
What is your primary use case for Rapid7 InsightOps?
The usual use cases for Rapid7 InsightOps that I work with are to meet standard requirements such as PCI DSS and ISO standards, collecting data and protecting event logs. Rapid7 InsightOps plays a ...
 

Also Known As

No data available
InsightOps, Logentries
 

Overview

 

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Trimble Navigation Limited
Find out what your peers are saying about Elastic Observability vs. Rapid7 InsightOps and other solutions. Updated: April 2026.
886,719 professionals have used our research since 2012.