AWS Auto Scaling vs Oracle Real User Experience Insight comparison

Amazon Web Services (AWS) and Oracle are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon Web Services (AWS) is ranked #39 with an average rating of 8.5, while Oracle is ranked #60. Amazon Web Services (AWS) holds a 0.5% mindshare in APM, compared to Oracle’s 0.7% mindshare. Additionally, 92% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

AWS Auto Scaling

Read 22 AWS Auto Scaling reviews

1,935 Views
1,858 Comparison Views

92% willing to recommend

Oracle Real User Experience...

Read 5 Oracle Real User Experience Insight reviews

1,902 Views
1,845 Comparison Views

100% willing to recommend

AWS Auto Scaling

Oracle Real User Experience...

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Executive SummaryUpdated on Jun 3, 2026

Oracle Real User Experience Insight and AWS Auto Scaling compete in providing solutions for optimizing performance and scalability. AWS Auto Scaling is generally preferred for its comprehensive scalability features and seamless integration within the AWS ecosystem, but Oracle offers distinctive advantages in user experience insights.

Features: Oracle Real User Experience Insight offers detailed tracking of user interactions, performance analysis, and identification of system bottlenecks. In contrast, AWS Auto Scaling provides automated resource scaling, reliability, and integration with AWS services like EC2 and ECS.

Room for Improvement: Oracle Real User Experience Insight could increase its cloud-native capabilities and streamline its setup process. AWS Auto Scaling may enhance its user interface for more intuitive navigation and expand its customization options for different workload requirements.

Ease of Deployment and Customer Service: Oracle Real User Experience Insight requires detailed setup but offers reliable customer support. AWS Auto Scaling benefits from the AWS ecosystem with streamlined deployment processes, easy configuration, and extensive online resources, facilitating a smoother deployment experience.

Pricing and ROI: Oracle Real User Experience Insight entails higher initial setup costs but could lead to high ROI through enhanced user experience. AWS Auto Scaling's pay-as-you-go pricing offers flexibility and cost-efficiency, making it attractive for businesses prioritizing scalable solutions without high initial expenses.

To learn more, read our detailed AWS Auto Scaling vs. Oracle Real User Experience Insight Report (Updated: June 2026).

Buyer's Guide

AWS Auto Scaling vs. Oracle Real User Experience Insight

June 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

AWS Auto Scaling

Ranking in Application Performance Monitoring (APM) and Observability

39th

Average Rating

8.8

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Oracle Real User Experience...

Ranking in Application Performance Monitoring (APM) and Observability

60th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of AWS Auto Scaling is 0.5%, up from 0.2% compared to the previous year. The mindshare of Oracle Real User Experience Insight is 0.7%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
AWS Auto Scaling	0.5%
Oracle Real User Experience Insight	0.7%
Other	98.8%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Ishaka Michael Efe

DevOps Engineer Intern at HNG Tech

Automation has simplified traffic management and improved workload efficiency

I'm not really sure what improvements I would want to see in AWS Auto Scaling because I haven't really used it extensively or explored most of it. To the extent that I've used it so far, I think it is very good. I can't really say for certain what should be improved because I haven't really explored it a lot. However, what I've been using it for has been very good. If there could be training for AWS Auto Scaling, that would be fine. If you could add more training on how to use it correctly and on the functions that I haven't used before or some people have not really used before, that would help. If there could be more documentation and training on it, that would be beneficial.

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AKM Rezaul Karim

Deputy General Manager at Thakral

Provides you with powerful analysis of your network and business infrastructure

There are instances of imitation, like with processors. As customers, we aim to develop this area, particularly focusing on the networking facility and connectivity. The challenge lies in the connection between the DC and MDR, which is quite distant. The link between them needs to be reliable. When direct fiber isn't available, they resort to using dark fiber, which can lead to some limitations. This situation presents another layer of complexity, requiring approximately 11 feet of additional infrastructure. This is essential for ensuring that applications have minimal latency. In the event of any issues, an account is set up for cache memory to ensure that the system remains operational and can recover data from the cache as needed. Additionally, I have a secondary aspect to consider.

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Quotes from Members

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

Pros

"The solution helps optimize the cost of the AWS environment."

"The tool gives you the flexibility to scale up and grow. The solution is also fast to deploy."

"Auto Scaling is a cool feature that works well and its automatic scaling capabilities are very useful."

"The tool's most valuable feature is vertical auto-scaling, which is easy to use. However, most companies now prefer horizontal scaling. I set up the health check integration to monitor CPU usage. When it reaches seventy percent, it sends me an email notification."

"It helps us to reduce the cost."

"I would highly recommend Auto Scaling to others because it is a fantastic feature that simplifies scaling processes and makes deployment efficient."

"Once we moved them to AWS and created the appropriate architecture, it solved the problem."

"Our internal business applications are hosted in AWS Auto Scaling."

More AWS Auto Scaling pros

"The customers requires redundancy work to achieve a 99.999% uptime. To accomplish this, we installed this solution into storage. This setup ensures that if one node goes down, the system remains operational through another node. So that's the core aspect of the setup. Additionally, the schedule and the rental database run on servers, and behind these servers, we have storage. This storage operates as a single storage cluster, although there might be another storage option that costs around $30."

"Before RUEI came in, the users from production took hours to resolve issues, or couldn't end up finding a root cause."

"The most valuable feature is the ability to Drill down to webpage actions."

"The availability of the solution is its most valuable aspect. I can also Google anything I want and upload it on the cloud. I can do that using the mobile app. It is very helpful."

"Customer satisfaction higher than before."

"ORUEI lets you create a dashboard that shows you insight into the user experience."

"Even if you don't have a QA tool, you can automate a lot of the quality assurance functions through ORUEI."

Cons

"Flexibility in configuring the workload is missing in AWS Auto Scaling."

"The product’s pricing needs improvement."

"The solution must improve automation."

"It could be cheaper."

"The speed of the solution must be improved."

"The tool's stability could be improved."

"The solution's infrastructure scalability and elasticity could be improved."

"If there could be training for AWS Auto Scaling, that would be fine. If you could add more training on how to use it correctly and on the functions that I haven't used before or some people have not really used before, that would help."

More AWS Auto Scaling cons

"It is a bit complex for newbie."

"The application resource usage has increased due to using RUEI."

"There are instances of imitation, like with processors. As customers, we aim to develop this area, particularly focusing on the networking facility and connectivity. The challenge lies in the connection between the DC and MDR, which is quite distant. The link between them needs to be reliable. When direct fiber isn't available, they resort to using dark fiber, which can lead to some limitations. This situation presents another layer of complexity, requiring approximately 11 feet of additional infrastructure. This is essential for ensuring that applications have minimal latency. In the event of any issues, an account is set up for cache memory to ensure that the system remains operational and can recover data from the cache as needed. Additionally, I have a secondary aspect to consider."

"Currently, it monitors web applications well, but ORUEI doesn't monitor mobile applications yet. It would be nice if they also added the ability to monitor mobile apps."

"It would be nice if the solution could be integrated with Outlook. If I'm signing any quotation, any proposal, or any of my communications, I should be able to update that Oracle application as well."

"Licensing is very expensive for this solution."

Pricing and Cost Advice

"The product is expensive."

"AWS Auto Scaling is a pay-per-use and pay-as-you-use service."

"AWS Auto Scaling is an expensive solution."

"The product has moderate pricing."

"AWS Auto Scaling's price is high."

"The pricing is good. I have not had any customers that have complained about the price."

"AWS Auto Scaling is a cheap solution."

Information not available

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Top Industries

By visitors reading reviews

Construction Company

16%

Educational Organization

11%

Financial Services Firm

10%

Comms Service Provider

Financial Services Firm

24%

Construction Company

13%

Comms Service Provider

12%

Insurance Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	2
Large Enterprise	12

No data available

Questions from the Community

What is your experience regarding pricing and costs for AWS Auto Scaling?

I'm not sure about the pricing aspect of AWS Auto Scaling or the cost of it.

See all answers

What needs improvement with AWS Auto Scaling?

AWS Auto Scaling can be improved in many ways, such as providing better visibility into scaling decisions and clarifying why exactly scaling happens. Sometimes, I am not sure why scaling occurs. Ea...

See all answers

What is your primary use case for AWS Auto Scaling?

My main use case for AWS Auto Scaling is automatically scaling EC2 instances behind a load balancer based on traffic, CPU, and memory usage, as well as custom CloudWatch metrics. I also use it with...

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Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

June 2026

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Buyer's Guide

Application Performance Monitoring (APM) and Observability

June 2026

Oracle Real User Experience Insight report

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Also Known As

AWS Auto-Scaling

Oracle Real User Experience Insight, Oracle RUEI

Overview

AWS Auto Scaling optimizes resource use by automatically adjusting instances based on demand. It integrates with CloudWatch for seamless monitoring, enhancing system reliability and cost efficiency without manual intervention.

AWS Auto Scaling is designed to dynamically scale resources in response to demand, supporting horizontal and vertical scaling for optimal performance. It integrates well with AWS services like EC2 and ECS, allowing for flexible and scalable solutions. Predictive scaling and intelligent automation reduce costs and ensure reliability, particularly during unpredictable traffic variations. Users implement it to maintain efficiency and minimize downtime, benefiting from features such as self-healing and health checks.

What are the key features of AWS Auto Scaling?

Automatic Scaling: Adjusts resources based on real-time demand metrics.
CloudWatch Integration: Seamless monitoring integration for efficient resource management.
Target Tracking: Maintains desired performance levels by adjusting resources as needed.
Scheduled Scaling: Pre-configure adjustments based on expected demand changes.
Self-Healing: Automatically replaces unhealthy instances to ensure maximum uptime.

What benefits should users expect from AWS Auto Scaling?

Cost Efficiency: Reduces cost by adjusting resources based on fluctuating demand.
Reliable Performance: Ensures consistent performance even with varying traffic levels.
Minimal Downtime: Automatically adapts to traffic changes to keep services running smoothly.
User-Friendly Interface: Simple operation with intuitive controls and configurations.
Flexibility: Supports a range of AWS services, adapting to different use cases and demands.

In industries with variable demand, AWS Auto Scaling is deployed to manage real-time traffic surges, ensuring efficient use of resources during periods such as events and festive seasons. Users grow dynamic environments while balancing costs and maintaining stability, integrating the tool with CI/CD processes for continuous and efficient deployment.

Amazon Web Services (AWS)

Oracle Real User Experience Insight offers comprehensive monitoring and analysis of user interactions with web applications, delivering actionable insights to optimize performance.

Industries prioritize understanding user interactions to enhance application efficiency. Oracle Real User Experience Insight provides deep visibility into web application performance by capturing real-time data on user activity. Through advanced analytics, it identifies performance bottlenecks and areas for improvement, helping organizations maintain optimal application health and user satisfaction.

What are the key features of Oracle Real User Experience Insight?

Real-time Monitoring: Continuously tracks user interactions and application performance.
Performance Analytics: Analyzes data to identify performance bottlenecks and areas needing improvement.
Customizable Dashboards: Provides tailored views of key performance metrics relevant to business goals.
User Experience Insights: Delivers feedback on user interaction patterns for better decision-making.

What benefits should users consider when evaluating Oracle Real User Experience Insight?

Improved Application Performance: Helps maintain applications at optimal performance levels through early identification of issues.
Enhanced User Satisfaction: Offers insights to refine user interactions and overall application experience.
Resource Optimization: Provides data-driven insights enabling efficient resource allocation and management.
Increased Competitiveness: Supports continuous improvement efforts, aiding in maintaining a competitive edge.

Oracle Real User Experience Insight finds applications across sectors like finance, healthcare, and retail, where user interaction is crucial. Financial institutions utilize it for monitoring online banking services, ensuring secure and efficient transactions. In healthcare, it helps in optimizing patient portals, while in retail, it enhances online shopping experiences by analyzing customer interactions and refining application performance.

Oracle

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Hover Automotive India, Chhattisgarh Infotech and Biotech Promotion Society, Daelim Industrial, MakeMyTrip, Acorn Paper Products Company, KEC International, Ministero del Lavoro e delle Politiche Sociali, The Qatar Olympic Committee

Buyer's Guide

AWS Auto Scaling vs. Oracle Real User Experience Insight

June 2026

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