Elastic Observability vs Rapid7 InsightOps comparison

Elastic and Rapid7 are both solutions in the Log Management category. Elastic is ranked #16 with an average rating of 9.0, while Rapid7 is ranked #28 with an average rating of 9.0. Elastic holds a 1.2% mindshare in Log Management, compared to Rapid7’s 0.8% mindshare. Additionally, 88% of Elastic users are willing to recommend the solution, compared to 100% of Rapid7 users who would recommend it.

Elastic Observability

Read 29 Elastic Observability reviews

11,402 Views
3,079 Comparison Views

88% willing to recommend

Rapid7 InsightOps

Read 10 Rapid7 InsightOps reviews

2,147 Views
2,061 Comparison Views

100% willing to recommend

Elastic Observability

Rapid7 InsightOps

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 9, 2024

Rapid7 InsightOps and Elastic Observability are key players in the tech industry's monitoring and analytics category. Elastic Observability tends to have the upper hand due to its extensive features, even though it is more expensive, while Rapid7 InsightOps is preferred for its pricing and customer service.

Features: InsightOps provides comprehensive search capabilities, intuitive data visualization, and detailed log management. Elastic Observability is recognized for its scalable infrastructure, robust integrations, and customizable dashboards. The adaptability of Elastic offers an advantage in diverse operational environments.

Room for Improvement: InsightOps users suggest enhancing integration options and increasing data processing speeds. Additionally, there is a call for more advanced automation features. For Elastic Observability, simplifying setup, providing more intuitive controls, and reducing configuration complexity are areas needing attention.

Ease of Deployment and Customer Service: InsightOps is appreciated for straightforward deployment and reliable customer support, ensuring a smooth experience for users. In contrast, Elastic Observability's deployment process can be complex, and users suggest that improving its customer service would be beneficial.

Pricing and ROI: InsightOps offers competitive pricing and a solid return on investment, making it an attractive choice for cost-conscious businesses. Elastic Observability, although viewed as expensive, is seen as justifying its price with comprehensive functionality. InsightOps delivers immediate cost advantages, while Elastic is considered a valuable long-term investment.

To learn more, read our detailed Elastic Observability vs. Rapid7 InsightOps Report (Updated: August 2026).

Buyer's Guide

Elastic Observability vs. Rapid7 InsightOps

August 2026

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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

Elastic Observability

Ranking in Log Management

16th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (11th), IT Infrastructure Monitoring (13th), 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

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the Log Management category, the mindshare of Elastic Observability is 1.2%, down from 1.4% compared to the previous year. The mindshare of Rapid7 InsightOps is 0.8%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Mindshare Distribution
Product	Mindshare (%)
Elastic Observability	1.2%
Rapid7 InsightOps	0.8%
Other	98.0%

Log Management

Featured Reviews

Mohammed-Abdelalim

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.

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reviewer1247523

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.

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

"The solution has been stable in our usage."

"The solution is open-source and helps with back-end logging. It is also easy to handle."

"The price is very less expensive compared to the other solutions."

"Good design and easy to use once implemented."

"I have built a mini business intelligence system based on Elastic Observability."

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

"In addition to the fact that we are more proactive in the detection of incident before they occur, we can on one click see the request path from the customer to the backend."

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

More Elastic Observability pros

"The ability to browse logs from multiple sources at the same time really speeds up root cause analysis."

"My advice to others is this is an easy-to-use solution and they should try it out."

"The most valuable feature of Rapid7 InsightOps is the search functionality."

"We get way more out of it than we did with SecureWorks and we pay about a third of the price."

"Integration of InsightOps with other tools, especially SIEM solutions, has generally improved operational efficiency."

"Once you start using InsightIDR, which works hand in glove with InsightOps, you will feel like you were operating in the stone age before."

"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."

"Easy to use and spend less time on setups/troubleshooting."

More Rapid7 InsightOps pros

Cons

"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."

"One example is the inability to monitor very old databases with the newest version."

"It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side."

"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."

"I would have preferred built-in tools to manage the indexes on deployment for better visual representation, as the initial feedback regarding system performance and data storage was fairly primitive and lacking."

"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."

"I would advise others to use a different solution than Elastic APM."

"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."

More Elastic Observability cons

"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."

"Improvement is needed in the dashboard of InsightOps, especially for less technical users."

"The solution takes a little bit of time when we load the website for the first time."

"There were some difficulties in product setup, but after those issues were resolved, there were no issues."

"The searching capability, or when you ask real time questions, is pretty decent but it's still not up to par with, say, Splunk."

"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

"The price of Elastic Observability is expensive."

"One needs to pay for the licenses, and it is an annual subscription model right now."

"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."

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

"We will buy a premium license after POC."

"The product’s pricing needs improvement."

"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."

More Elastic Observability pricing and cost advice

"The product is cheap."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

10%

Manufacturing Company

Government

Construction Company

13%

Manufacturing Company

13%

Outsourcing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	16

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	2
Large Enterprise	3

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 ...

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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,...

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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.

See all answers

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...

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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 ...

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What advice do you have for others considering Rapid7 InsightOps?

The integration capabilities of Rapid7 InsightIDR with other security or IT management tools are quite simple. To integrate with another solution, you just need that solution to push system logs in...

See all answers

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Compared 7% of the time

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Compared 6% of the time

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Product Reports

Buyer's Guide

Elastic Observability

August 2026

Download Elastic Observability product report

Buyer's Guide

Rapid7 InsightOps

August 2026

Download Rapid7 InsightOps product report

Also Known As

No data available

InsightOps, Logentries

Overview

Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.

Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.

What are the most important features of Elastic Observability?

Centralized Logging: Streamlines the collection, analysis, and storage of log data.
Powerful Search: Provides robust search capabilities for quick access to relevant information.
Scalability: Supports growing data needs across diverse environments.
Real-time Telemetry: Ensures up-to-date insights and monitoring.
Platform Integration: Seamlessly connects with services like Teams and Slack.
Data Visualization: Enhances visibility with Elastic APM and Kibana.

What benefits and ROI should users explore in reviews?

Cost-effectiveness: Offers significant savings through efficient data management.
Rapid Incident Response: Minimizes downtime with quick troubleshooting tools.
Comprehensive Insights: Supports better business decisions with detailed data analysis.
Performance Tracking: Enables assessment of system effectiveness and improvements.

Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.

Elastic

Rapid7 InsightOps provides asset management, log tracking, and issue resolution with machine learning threat detection, enhancing integration with various systems for real-time monitoring across networks.

Rapid7 InsightOps enables businesses to track assets, manage logs, and resolve issues efficiently. It offers predefined policies, customizable dashboards, and ticketing system integrations. Its endpoint agent ensures real-time monitoring and forensic analysis, aiding incident response and root cause analysis. Log aggregation and search functionality enhance operational efficiency by integrating with SIEM systems. Improvements in search capabilities, interface user-friendliness, and expanded security features could significantly boost user experience and performance.

Why consider Rapid7 InsightOps?

Comprehensive Asset Management: Ensures efficient asset tracking and management across networks.
Efficient Log Tracking: Aggregates log data for enhanced incident response and analysis.
Machine Learning Detection: Utilizes machine learning to identify threats and suspicious activities.
Customizable Dashboards: Allows tailored views for better visualization and analysis.
SIEM Integration: Boosts operational efficiency with seamless SIEM system integration.

What benefits should users look for?

Improved Compliance: Meets regulatory standards like PCI DSS and ISO, essential for finance sectors.
Enhanced Security Posture: Proactive threat detection and quick issue resolution improve security.
Operational Efficiency: Streamlines processes with integration and real-time monitoring.
Cost Savings: Reduces manual intervention and potential breaches through automation.

Finance sectors extensively implement Rapid7 InsightOps for alert generation, suspicious login detection, and ensuring regulatory compliance. It helps in monitoring IT environments by centralizing log data, analyzing unexpected behavior, data discrepancies, and checking message deliveries, vital for maintaining security and operational standards.

Rapid7

Sample Customers

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

Trimble Navigation Limited

Buyer's Guide

Elastic Observability vs. Rapid7 InsightOps

August 2026

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