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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 (6th), IT Infrastructure Monitoring (9th), Container Monitoring (4th), Cloud Monitoring Software (7th)
Rapid7 InsightOps
Ranking in Log Management
27th
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 January 2026, in the Log Management category, the mindshare of Elastic Observability is 1.2%, down from 1.8% compared to the previous year. The mindshare of Rapid7 InsightOps is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management Market Share Distribution
ProductMarket Share (%)
Elastic Observability1.2%
Rapid7 InsightOps0.6%
Other98.2%
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

"All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important."
"The most valued feature of Elastic is its log analytics capabilities."
"It is very stable, and I would rate it ten out of ten based on my interaction with it."
"Its diverse set of features available on the cloud is of significant importance."
"It is scalable and supports multitenancy, which is beneficial for MSPs."
"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."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"The solution has been stable in our usage."
"We can save logs as plain text."
"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."
"Integration of InsightOps with other tools, especially SIEM solutions, has generally improved operational efficiency."
"It has the ability to alert and track logs from different sources."
"The ability to browse logs from multiple sources at the same time really speeds up root cause analysis."
"The most valuable feature of Rapid7 InsightOps is the search functionality."
 

Cons

"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."
"I am familiar with Azure Monitor, which I find more user-friendly compared to Elastic, which is a very technical tool."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"One example is the inability to monitor very old databases with the newest version."
"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."
"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities."
"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."
"More web features could be added to the product."
"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 solution takes a little bit of time when we load the website for the first 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."
"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."
 

Pricing and Cost Advice

"Pricing is one of those situations where the more you use it, the more you pay."
"There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."
"We will buy a premium license after POC."
"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."
"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."
"One needs to pay for the licenses, and it is an annual subscription model right now."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"Elastic Observability's pricing could be better for small-scale users."
"The product is cheap."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
14%
Manufacturing Company
8%
Government
6%
Computer Software Company
11%
Manufacturing Company
10%
Construction Company
9%
Media Company
7%
 

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 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...
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 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: December 2025.
881,114 professionals have used our research since 2012.