AWS Auto Scaling vs Amazon OpenSearch Service comparison

Amazon OpenSearch Service and AWS Auto Scaling are both solutions in the Application Performance Monitoring (APM) and Observability category. Amazon OpenSearch Service is ranked #35 with an average rating of 7.5, while AWS Auto Scaling is ranked #15 with an average rating of 8.6. Amazon OpenSearch Service holds a 1.7% mindshare in APM, compared to AWS Auto Scaling’s 0.1% mindshare. Additionally, 80% of Amazon OpenSearch Service users are willing to recommend the solution, compared to 91% of AWS Auto Scaling users who would recommend it.

Amazon OpenSearch Service

Read 5 Amazon OpenSearch Service reviews

1,271 Views
1,167 Comparison Views

80% willing to recommend

AWS Auto Scaling

Read 21 AWS Auto Scaling reviews

264 Views
138 Comparison Views

91% willing to recommend

Amazon OpenSearch Service

AWS Auto Scaling

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 24, 2024

AWS Auto Scaling and Amazon OpenSearch Service are tools designed to manage resources and search capabilities in the cloud. AWS Auto Scaling seems to have the upper hand due to its favorable support and pricing.

Features: AWS Auto Scaling is known for its ability to automatically adjust resource allocation based on demand, providing efficiency and cost savings. It supports dynamic scaling and scheduled scaling and integrates well with other AWS services. Amazon OpenSearch Service is valued for its powerful search and analytics capabilities that handle large-scale data efficiently. It offers real-time search, data analytics, and integrates well with Elasticsearch.

Room for Improvement: AWS Auto Scaling could enhance its predictive scaling capabilities, offer more customization in its interface, and improve the insights dashboard. Amazon OpenSearch Service could benefit from advanced configuration options, better indexing performance, and more comprehensive monitoring tools.

Ease of Deployment and Customer Service: AWS Auto Scaling is noted for its seamless deployment and excellent customer service, making it easy to integrate into existing AWS environments. Amazon OpenSearch Service's deployment is straightforward but may require more initial setup. Customer service for both is well-regarded, though AWS Auto Scaling users report higher satisfaction.

Pricing and ROI: AWS Auto Scaling offers competitive pricing that appeals to cost-conscious users, providing good ROI due to reduced resource wastage. Amazon OpenSearch Service's pricing is higher, but users feel it is justified by its advanced features and robust capabilities.

To learn more, read our detailed AWS Auto Scaling vs. Amazon OpenSearch Service Report (Updated: April 2025).

Buyer's Guide

AWS Auto Scaling vs. Amazon OpenSearch Service

April 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 Application Performance Monitoring (APM) and Observability

35th

Average Rating

7.8

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

Log Management (30th)

AWS Auto Scaling

Ranking in Application Performance Monitoring (APM) and Observability

15th

Average Rating

8.8

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.7%, up from 0.0% compared to the previous year. The mindshare of AWS Auto Scaling is 0.1%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability

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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Mbula Mboma

AWS Cloud Re-Start Program Specialist at Orange RDC (Congo)

Boosts deployment efficiency with seamless automatic scaling capabilities

My primary use case for Auto Scaling is mainly to deploy applications at scale Auto Scaling has made the deployment of applications more efficient, allowing us to manage traffic and maintain performance as user counts increase. Auto Scaling is a cool feature that works well and its automatic…

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

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

"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"

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

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

"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."

"AWS Auto Scaling is very good for managing traffic and creating new instances when necessary."

"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."

"The most valuable feature is the ability to select a minimum amount of active servers so that a new server automatically launches if one fails."

"The good thing about Autoscaling is that it provides the capacity to minimize downtime. So, it gives you the assurance of stability and robustness within your system."

"The various scaling options available, such as step scaling, are particularly useful."

"AWS Auto Scaling is cost-effective and very useful for businesses."

"It is a stable platform."

More AWS Auto Scaling pros

Cons

"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."

"They can enhance data visualization."

"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 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."

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

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

"Setting up the configuration involves too much work for the cloud engineer."

"AWS Auto Scaling's documentation could be better."

"The speed of the solution must be improved."

"There hasn't been a need for improvements."

"The solution is not out-of-the-box and you have to study to use it. It should be more easier to use."

"The product’s pricing needs improvement."

"The billing and cost optimization of the solution could be improved."

"It is sometimes very critical to deploy on AWS since some servers are already running in the background. There are challenges for employees on how to deploy at a given time."

More AWS Auto Scaling cons

Pricing and Cost Advice

Information not available

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

"The product is expensive."

"AWS Auto Scaling is an expensive solution."

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

"AWS Auto Scaling's price is high."

"AWS Auto Scaling is a cheap solution."

"The product has moderate pricing."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

15%

Manufacturing Company

Government

No data available

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?

Amazon OpenSearch Service is a bit costly compared to self-hosted Elasticsearch due to the managed service pricing.

See all answers

What needs improvement with Amazon OpenSearch Service?

One improvement I would like to see is support for auto-scaling. The current configuration does not support automatic scaling based on server load, requiring us to manage the scaling manually. Addi...

See all answers

What do you like most about AWS Auto Scaling?

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. W...

See all answers

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

The pricing of Auto Scaling is medium range, neither high nor low.

See all answers

What needs improvement with AWS Auto Scaling?

It is sometimes very critical to deploy on AWS since some servers are already running in the background. There are challenges for employees on how to deploy at a given time. It requires a downtime ...

See all answers

Comparisons

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Compared 18% of the time

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Compared 14% of the time

Dynatrace vs Amazon OpenSearch Service

Compared 5% of the time

New Relic vs Amazon OpenSearch Service

Compared 4% of the time

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OpenText SiteScope vs AWS Auto Scaling

Compared 100% of the time

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Product Reports

Buyer's Guide

Amazon OpenSearch Service

April 2025

Download Amazon OpenSearch Service product report

Buyer's Guide

Application Performance Monitoring (APM) and Observability

April 2025

Download AWS Auto Scaling product report

Also Known As

No data available

AWS Auto-Scaling

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)

AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.

Amazon Web Services (AWS)

Sample Customers

Information Not Available

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

Buyer's Guide

AWS Auto Scaling vs. Amazon OpenSearch Service

April 2025

Free Report: AWS Auto Scaling vs. Amazon OpenSearch Service

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