Amazon OpenSearch Service vs Rapid7 InsightOps comparison

Amazon Web Services (AWS) and Rapid7 are both solutions in the Log Management category. Amazon Web Services (AWS) is ranked #21 with an average rating of 7.2, while Rapid7 is ranked #25 with an average rating of 9.5. Amazon Web Services (AWS) holds a 2.6% mindshare in Log Management, compared to Rapid7’s 0.4% mindshare. Additionally, 83% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Rapid7 users who would recommend it.

Amazon OpenSearch Service

Read 6 Amazon OpenSearch Service reviews

1,959 Views
844 Comparison Views

83% willing to recommend

Rapid7 InsightOps

Read 9 Rapid7 InsightOps reviews

671 Views
148 Comparison Views

100% willing to recommend

Amazon OpenSearch Service

Rapid7 InsightOps

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 9, 2024

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Rapid7 InsightOps and Amazon OpenSearch Service are competing in the log management and analysis category. Amazon OpenSearch Service seems to have the upper hand due to its comprehensive features and advanced analytics capabilities.

Features: Rapid7 InsightOps is recognized for real-time data monitoring, customer-centric pricing, and versatile integrations. Amazon OpenSearch Service stands out for scalability, advanced search functions, and extensive analytics capabilities.

Room for Improvement: Rapid7 InsightOps users wish for improved reporting capabilities, enhanced third-party tool integration, and more intuitive user experience. Amazon OpenSearch Service could benefit from easier configuration, more intuitive navigation, and a user-centric design approach.

Ease of Deployment and Customer Service: Rapid7 InsightOps is noted for a straightforward deployment process and responsive customer service. Amazon OpenSearch Service, while more complex, offers robust documentation and community support. Rapid7 provides hands-on assistance, whereas Amazon offers extensive self-service resources.

Pricing and ROI: Rapid7 InsightOps provides a competitive pricing model with strong ROI feedback focused on value for money. Amazon OpenSearch Service, although more costly, is viewed as delivering significant ROI through its feature set and long-term analytics investment.

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To learn more, read our detailed Amazon OpenSearch Service vs. Rapid7 InsightOps Report (Updated: June 2025).

Buyer's Guide

Amazon OpenSearch Service vs. Rapid7 InsightOps

June 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

Amazon OpenSearch Service

Ranking in Log Management

21st

Average Rating

7.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (23rd)

Rapid7 InsightOps

Ranking in Log Management

25th

Average Rating

9.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2025, in the Log Management category, the mindshare of Amazon OpenSearch Service is 2.6%, up from 0.2% compared to the previous year. The mindshare of Rapid7 InsightOps is 0.4%, down from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management

Featured Reviews

VijayKumar27

Software Engineer at The American College

Effective as a vector store, serverless architecture but there aren't enough security features

The pricing aspect is a concern. The service is way too costly. For the past month, I used only 30 to 40 MB of data, and the cost was $500. AWS could improve pricing. Even being serverless, it incurs charges during idle times. For just holding data, you need to create a list. AWS should add an option to make data idle, so it won't include computing charges. They charge for OCU units based on the time the serverless solution is up, not on indexing or retrieval speed. Once the service starts, it starts getting billed. It would help if there were an option to limit computing. When using it as a database, storing data without frequent fetching would save computing costs.

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Karthick Selvam

Senior Software Engineer at Saama

A cloud solution to collect and analyse logs with timely support

We should understand the basic concepts of Rapid7 InsightOps. We are using Rapid7 InsightOps to collect and analyze data. We need to ensure that our environment is suitable before proceeding. The solution is user-friendly and support all environment like Linux, Windows, CentOS, etc. It is suitable for all. Overall, I rate the solution a nine out of ten.

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 customer service is excellent, rated nine out of ten."

"Our customers have seen tangible benefits from Amazon OpenSearch Service, especially in terms of their applications running smoothly, so they do get a return on investment."

"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."

"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."

"We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage"

"The business analytics capabilities are the most important feature it provides."

"This service already sorts data like vectors. They have classified the storage pre-defined."

"I would definitely recommend Amazon OpenSearch Service to other professionals due to its fast and reliable search capabilities."

"We can save logs as plain text."

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

"It has the ability to alert and track logs from different sources."

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

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

Cons

"The pricing aspect is a concern. The service is way too costly. For the past month, I used only 30 to 40 MB of data, and the cost was $500. AWS could improve pricing."

"They can enhance data visualization."

"In terms of data handling capabilities with Amazon OpenSearch Service, they can be complex and managing data in comparison to other SIM solutions is a major drawback, as it is very hard to handle the data."

"One improvement I would like to see is support for auto-scaling."

"We faced documentation challenges during integration after migrating from Elasticsearch to Amazon OpenSearch Service. Better documentation on integration, query handling, and a more user-friendly UI could enhance the product."

"One improvement I would like to see is support for auto-scaling."

"It would be beneficial to have some level of customization available in the managed service, tailored to the specific use cases of the end users."

"The price is fair yet leans towards the expensive side. I'd rate it five out of ten with respect to capabilities vs. cost."

"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."

"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."

Pricing and Cost Advice

Information not available

"The product is cheap."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

14%

Manufacturing Company

Comms Service Provider

Computer Software Company

15%

Financial Services Firm

Energy/Utilities Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Amazon OpenSearch Service?

We retrieve historical data with just a click of a button to move it from cold to hot or warm because it's already stored in the backend storage

See all answers

What is your experience regarding pricing and costs for Amazon OpenSearch Service?

I would consider the pricing as a six based on how much data we are handling; if we handle minimal data, it's cheap, but for large data, it becomes costly. Our clients usually pay between $1,000 to...

See all answers

What needs improvement with Amazon OpenSearch Service?

In terms of data handling capabilities with Amazon OpenSearch Service, they can be complex and managing data in comparison to other SIM solutions is a major drawback, as it is very hard to handle t...

See all answers

What do you like most about Rapid7 InsightOps?

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

See all answers

What needs improvement with Rapid7 InsightOps?

Improvement is needed in the dashboard of InsightOps, especially for less technical users. Currently, it lacks clear guidance on icons and features, making it confusing for those with limited exper...

See all answers

What is your primary use case for Rapid7 InsightOps?

Our clients use InsightOps for real-time monitoring of their IT environments.

See all answers

Comparisons

Grafana Loki vs Amazon OpenSearch Service

Compared 29% of the time

Datadog vs Amazon OpenSearch Service

Compared 16% of the time

Amazon CloudWatch vs Amazon OpenSearch Service

Compared 13% of the time

Dynatrace vs Amazon OpenSearch Service

Compared 5% of the time

New Relic vs Amazon OpenSearch Service

Compared 4% of the time

More Amazon OpenSearch Service Competitors

Wazuh vs Rapid7 InsightOps

Compared 33% of the time

Datadog vs Rapid7 InsightOps

Compared 26% of the time

Dynatrace vs Rapid7 InsightOps

Compared 14% of the time

Splunk Enterprise Security vs Rapid7 InsightOps

Compared 10% of the time

New Relic vs Rapid7 InsightOps

Compared 10% of the time

More Rapid7 InsightOps Competitors

Product Reports

Buyer's Guide

Amazon OpenSearch Service

June 2025

Download Amazon OpenSearch Service product report

Buyer's Guide

Log Management

May 2025

Download Rapid7 InsightOps product report

Also Known As

No data available

InsightOps, Logentries

Overview

Amazon OpenSearch Service is often used for log analysis, real-time application monitoring, and searching large datasets. Users benefit from its scalability, ease of use, and AWS integration, appreciating its capability to handle high data volumes while providing efficient search functionalities.

Many users choose Amazon OpenSearch Service for its powerful search and indexing capabilities, real-time analytics, and strong integration with AWS services. Key highlights include minimal downtime, detailed documentation, and efficient data processing. Scalability and automatic scaling are standout features, enabling users to manage high data volumes seamlessly. However, there is a call for improved integration, enhanced stability, and better support. Some users find the setup and configuration process challenging and desire more customization options for security features.

What are the key features of Amazon OpenSearch Service?

Scalability: Automatically scales to accommodate data growth and workload fluctuations.
Real-Time Analytics: Provides up-to-date insights and monitoring for applications.
Integration with AWS: Easily integrates with other AWS services, enhancing workflows.
Powerful Search Capabilities: Fast and efficient search and indexing functionalities.
Detailed Documentation: Comprehensive guides and resources to assist users.
Security Features: Flexible security options to protect data and manage access.

What benefits should users look for in reviews?

Efficiency: Quick data processing and minimal downtime.
Scalability: Ability to handle increasing data volumes without manual intervention.
Ease of Use: User-friendly interface and management tools.
Reliability: Consistent performance with robust support for data management workflows.
Integration: Seamless integration with existing AWS services and infrastructure.

In industries such as finance, healthcare, and e-commerce, Amazon OpenSearch Service is implemented to manage and analyze large datasets in real time. Companies benefit from its ability to monitor application performance, analyze log data, and enhance search functionalities, leading to improved operational efficiency and decision-making processes.

Amazon Web Services (AWS)

Rapid7 InsightOps is the next evolution of the Logentries log management technology, combining cloud-based log centralization with IT asset search to make log management fast and easy.

As a cloud-based solution, InsightOps eliminates the need for managing and maintaining your log management technology. With a 5-minute setup, out-of-the-box analytics and visual search capabilities that eliminates the need to learn a new query language, InsightOps is the easiest log management solution available.

To start a free 30-day trial of InsightOps, visit rapid7.com/insightops

Rapid7

Sample Customers

Information Not Available

Trimble Navigation Limited

Buyer's Guide

Amazon OpenSearch Service vs. Rapid7 InsightOps

June 2025

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