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Amazon OpenSearch Service vs Workspace ONE Intelligence comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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
24th
Average Rating
7.6
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Log Management (19th), Search as a Service (4th)
Workspace ONE Intelligence
Ranking in Application Performance Monitoring (APM) and Observability
43rd
Average Rating
8.0
Reviews Sentiment
5.7
Number of Reviews
4
Ranking in other categories
Mobile APM (6th)
 

Mindshare comparison

As of July 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.0%, down from 2.0% compared to the previous year. The mindshare of Workspace ONE Intelligence is 0.5%, 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
ProductMindshare (%)
Amazon OpenSearch Service1.0%
Workspace ONE Intelligence0.5%
Other98.5%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Md. Shahariar Hossen - PeerSpot reviewer
Senior Software Engineer at Cefalo
Event tracking has become smoother and data analytics provide clear insights for user actions
Amazon OpenSearch Service is not providing the processing feature directly. From Amazon OpenSearch Service, we are actually maintaining the AWS SQS, the queue service, which is responsible for providing information about what data has to be modified. So using that SQS, we're actually providing it, but we're not directly using Amazon OpenSearch Service for keeping data to other data pipeline thing. So far we didn't use it for any machine learning purposes, but in future, we have plans to extend or implement this feature. Since AWS itself is secure and Amazon OpenSearch Service is a part of this entire ecosystem, it becomes much easier for security purposes. From the validation point of view, Amazon OpenSearch Service itself provides easy to communicate APIs and up-to-date documents, which is much beneficial. For example, if I'm missing anything, I can directly go and check the documentation. That is actually much easier. I would rate it as really good so far. It's much faster. For our local machine, we can also use a kind of replica of Amazon OpenSearch Service just for development purposes. That is another good feature. I would say for the encryption thing and also the user access control management, it's much faster. For some of these hashing algorithms, it also worked really well so far. To be honest, I didn't find any places where it can be improved. However, I think they could provide more abstraction. For example, still for searching, we have to write down the queries in a specific manner, such as for a specific JSON structure or in a specific way. Otherwise, they don't provide us the actual results. For at least this purpose, I think abstraction could be a bit easier or a bit improved. Other than that, right now there is the age of AI, so some kind of prompting could also work, but I'm not sure how it could be integrated. As a user, lower prices or reasonable pricing is always better. Those can be improved as well. However, it is good that most of the services including Amazon OpenSearch Service actually provide pay as you go pricing. So if there were a bit lower version or a bit less payment methodology, it might be much better.
reviewer2788500 - PeerSpot reviewer
Network Operations Engineer at a media company with 1,001-5,000 employees
Proactive monitoring has transformed compliance checks and reduces help desk tickets daily
During implementation, we identified some features that I'm not actually using today, such as advanced predictive analytics and Digital Employee Experience scoring, along with real-time self-healing at scale. The biggest friction point I hit with Workspace ONE Intelligence is the high complexity of setup, along with data overload, which presents too much information. There's also a skill gap in teams, an over-automation risk, integration challenges, licensing and cost concerns, cultural resistance, and limited real-time action adoption due to the hybrid environment's complexity. If I could change just one thing about Workspace ONE Intelligence, even something small, it would be to make automation adoption simpler and safer, which would ease my workflow.

Quotes from Members

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

Pros

"Amazon OpenSearch Service has enhanced our organization's ability to store and search large amounts of data efficiently."
"The business analytics capabilities are the most important feature it provides."
"It's a good log management platform. In terms of infrastructure management, it's good."
"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."
"This service already sorts data like vectors. They have classified the storage pre-defined."
"The initial set up is very easy...We really appreciate Amazon!"
"The customer service is excellent, rated nine out of ten."
"In case there is a failure, Elastic manages everything well, and there no major downtime."
"Integration is also very easy."
"I would rate Workspace ONE Intelligence nine out of ten."
"The tool's most valuable feature is its tunneling capability. It is good for inventory, encryption, device location, and kiosk mode. If a device is lost, you can find it. We integrated it with a third-party tool for one-time passwords and two-factor authentication. The user-friendly interface makes device management easy."
"Workspace ONE Intelligence has significantly impacted my organization overall by shifting the operation from reactive to proactive IT, reducing the help desk load, providing a stronger security posture, improving visibility across the enterprise, automating routine IT work, especially in banking-specific contexts, enhancing employee productivity, and optimizing costs, leading to a cultural shift in IT teams."
 

Cons

"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 glaring issue was with our mapping configuration as the system accepted the data we posted, but after a few months, when we attempted complex queries, we realized the date formatting had become problematic."
"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."
"The configuration should be more straightforward because we had to select a lot of things."
"I would say that, basically, the configuration part is an area with a shortcoming...Some upgradation is required on the configuration side so that we can get to use it."
"The biggest friction point I hit with Workspace ONE Intelligence is the high complexity of setup, along with data overload, which presents too much information."
"Support could be improved for Workspace, especially the technical part, and it needs to ensure that issues can be resolved within one or two days."
"Windows devices management needs improvement."
"One area for improvement is location mapping - it uses Bing Maps instead of Google Maps, which isn't always up to date. Device enrollment can also be challenging, especially for older devices that need a factory reset."
 

Pricing and Cost Advice

"The solution is not expensive, but priced averagely, I will say."
"You only pay for what you use."
"Compared to other cloud platforms, it is manageable and not very expensive."
"There is a community edition available and the price of the commercial offering is reasonable."
"The solution is cost-effective. Workspace ONE Intelligence is neither cheap nor expensive. Compared to other tools like MaaS360, it Is more cost-effective. It costs about seven dollars per user, while others might cost $50—a big difference."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Manufacturing Company
10%
Computer Software Company
10%
Government
6%
Construction Company
15%
Manufacturing Company
15%
Comms Service Provider
10%
Energy/Utilities Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise2
Large Enterprise4
No data available
 

Questions from the Community

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...
What needs improvement with Amazon OpenSearch Service?
Amazon OpenSearch Service is not providing the processing feature directly. From Amazon OpenSearch Service, we are actually maintaining the AWS SQS, the queue service, which is responsible for prov...
What is your primary use case for Amazon OpenSearch Service?
Amazon OpenSearch Service is a user-friendly version of Elasticsearch, as per my understanding. I have been using it for our volunteer management system where around 5,000 to 6,000 users are using ...
What is your experience regarding pricing and costs for Workspace ONE Intelligence?
Workspace ONE Intelligence comes under a separate cost when purchasing UEM. There is price sensitivity in India compared to other solutions currently occupying the AirWatch, so pricing needs to be ...
What needs improvement with Workspace ONE Intelligence?
During implementation, we identified some features that I'm not actually using today, such as advanced predictive analytics and Digital Employee Experience scoring, along with real-time self-healin...
What advice do you have for others considering Workspace ONE Intelligence?
My advice to someone considering Workspace ONE Intelligence, who has a similar workflow to mine, is to start small and not attempt a big bang approach. Focus on outcomes, not just features, invest ...
 

Also Known As

Amazon Elasticsearch Service
Apteligent, Crittercism
 

Overview

 

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel
AT&T, Bloomberg, CNN, Experian, Fox, JC Penny, Urban Outfitters, Nokia, Lutron, NASCAR, T-Mobile, Urban Engines, Microsoft, Lego
Find out what your peers are saying about Amazon OpenSearch Service vs. Workspace ONE Intelligence and other solutions. Updated: June 2026.
902,988 professionals have used our research since 2012.