Amazon OpenSearch Service vs Devo comparison

Amazon OpenSearch Service

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Executive SummaryUpdated on Feb 22, 2026

Devo and Amazon OpenSearch Service compete in the data analytics category. Devo offers an edge with its focus on multi-tenancy and long-term data analysis, while OpenSearch Service leans into AWS integration for scalability.

Features: Devo's Activeboards make it easy to query and visualize data across multiple sources with real-time analytics and support for multi-tenancy, along with 400 days of hot data storage. OpenSearch Service excels with intuitive search, integrated dashboards, and strong AWS service integration, focusing on scalability and extensive log data handling.

Room for Improvement: Devo could enhance its graphical capabilities, parsing support for diverse log types, and multi-tenant architecture. Its browser interface can be limiting for large searches. OpenSearch Service users face challenges with configuration, data visualization, and integration with external platforms like Kibana.

Ease of Deployment and Customer Service: Devo offers flexible deployment options across public, hybrid, and private clouds, backed by customer-centric support, although implementation help varies. OpenSearch Service's deployment is focused on the AWS public cloud and supports integration with AWS solutions, but its support is average.

Pricing and ROI: Devo's model is based on data ingestion, offering good value with features included. Users appreciate its pricing transparency, although metadata fees can unexpectedly raise costs. OpenSearch Service, priced per data usage, can be costlier with high data volumes. Despite its managed service benefits, Devo provides more predictable costs due to its inclusive pricing model.

To learn more, read our detailed Amazon OpenSearch Service vs. Devo Report (Updated: June 2026).

Amazon OpenSearch Service vs. Devo

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

Amazon OpenSearch Service

Ranking in Log Management

17th

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (21st), Search as a Service (3rd)

Devo

Ranking in Log Management

18th

Average Rating

8.4

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Security Information and Event Management (SIEM) (18th), IT Operations Analytics (7th), AIOps (13th)

Mindshare comparison

As of August 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 1.4%, down from 2.7% compared to the previous year. The mindshare of Devo is 1.4%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Log Management Mindshare Distribution
Product	Mindshare (%)
Amazon OpenSearch Service	1.4%
Devo	1.4%
Other	97.2%

Log Management

Featured Reviews

Md. Shahariar Hossen

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.

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Usama Khan

Team Lead SOC at a tech services company with 51-200 employees

Advanced threat hunting has improved SOC visibility and now supports faster incident response

Devo can improve in how its connectors enhance integration with third-party tools. Devo's architecture works by having you deploy a relay server in the data center of the client side and Devo SIEM is basically on the AWS cloud. There are specific ports which are enabled on the relay server, which are 514 and 13000, 13151, 152. However, when we talk about databases and custom integrations, there are not default ports in the relay server. No default ports are defined. For JDBC drivers, the port number is 1433, but it is not in the relay server. You have to add it manually. For Oracle RDBMS, the port is 1521, and it is also not there by default. I would appreciate more third-party integrations including Fortinet and others. Machine learning models can also be improved. Playbooks in the SOAR can also be improved. Regarding playbooks for automation, we utilize playbooks for automation in SOAR for automated IOC blocking on a firewall, on a web application firewall, on DNS security, etc. The only option for us to run the playbook is to schedule the job for it. However, if I want to manually run the playbook, there is no option for doing so. This needs improvement.

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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

"It's actually easier to collaborate since it is already deployed in the AWS cloud itself."

"It's a good log management platform. In terms of infrastructure management, it's good."

"They have the good documentation in the help text and that is the reason the Amazon Elasticsearch is the perfect solution for the current market."

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

"Regarding valuable features of the solution, we found with the process, which we have used in both cases where we used the solution that while you're seeing the streaming of data, you can analyze in the initial phase what sort of data you are streaming and whether it is valuable."

"The stability of the product is good."

"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."

"In case there is a failure, Elastic manages everything well, and there no major downtime."

More Amazon OpenSearch Service pros

"The ability to have high performance, high-speed search capability is incredibly important for us. When it comes to doing security analysis, you don't want to be doing is sitting around waiting to get data back while an attacker is sitting on a network, actively attacking it. You need to be able to answer questions quickly. If I see an indicator of attack, I need to be able to rapidly pivot and find data, then analyze it and find more data to answer more questions. You need to be able to do that quickly. If I'm sitting around just waiting to get my first response, then it ends up moving too slow to keep up with the attacker. Devo's speed and performance allows us to query in real-time and keep up with what is actually happening on the network, then respond effectively to events."

"Overall, Devo is awesome, but it's got some room to grow."

"Devo's speed and performance allows us to query in real-time and keep up with what is actually happening on the network, then respond effectively to events."

"Being able to build and modify dashboards on the fly with Activeboards streamlines my analyst time because my analysts aren't doing it across spreadsheets or five different tools to try to build a timeline out themselves. They can just ingest it all, build a timeline out across all the logging, and all the different information sources in one dashboard. So, it's a huge time saver. It also has the accuracy of being able to look at all those data sources in one view. The log analysis, which would take 40 hours, we can probably get through it in about five to eight hours using Devo."

"One of the immediate improvements that come to mind is the amount of hot, searchable data, as in the SIEM we had before we were only able to search back 90 days of hot, searchable data, whereas here we have 400 days worth, which has definitely improved our threat hunting capabilities."

"It's a core tool for us in looking at logs, because logs are the starting point in any investigation, so leveraging Devo from start to finish in any investigation is basically what we do."

"But from a SaaS standpoint, if not best-in-breed, Devo is certainly in the top-two or top-three."

"In traditional BI solutions, you need to wait a lot of time to have the ability to create visualizations with the data and to do searches. With this kind of platform, you have that information in real-time."

More Devo 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."

"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 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."

"There is the problem with the database. Amazon only provides the host to run to our applications bias, but there is no option to manage the database within the Elasticsearch product."

"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."

"Amazon Elasticsearch can improve the bullion in the near search and the ease of integration with Kibana. Additionally, there could be more flexibility in the configuration and documentation."

"I want to see a new feature in Amazon Elasticsearch Service that allows users to create default filters for filtered levels."

"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."

More Amazon OpenSearch Service cons

"An admin who is trying to audit user activity usually cannot go beyond a day in the UI. I would like to have access to pages and pages of that data, going back as far as the storage we have, so I could look at every command or search or deletion or anything that a user has run. As an admin, that would really help. Going back just a day in the UI is not going to help, and that means I have to find a different way to do that."

"One improvement area for Devo could be simplifying some configuration and improving the onboarding for new analysts because it is quite complex for fresher or new analysts who are handling Devo."

"The Activeboards feature is not as mature regarding the look and feel."

"Some of the documentation could be improved a little bit. A lot of times it doesn't go as deep into some of the critical issues you might run into. They've been really good to shore us up with support, but some of the documentation could be a little bit better."

"The biggest area with room for improvement in Devo is the Security Operations module that just isn't there yet. That goes back to building out how they're going to do content and larger correlation and aggregation of data across multiple things, as well as natively ingesting CTI to create rule sets."

"The Activeboards feature is not as mature regarding the look and feel. Its functionality is mature, but the look and feel is not there. For example, if you have some data sets and are trying to get some graphics, you cannot change anything. There's just one format for the graphics. You cannot change the size of the font, the font itself, etc."

"The price is one problem with Devo."

"Technical support could be better."

More Devo cons

Pricing and Cost Advice

"Compared to other cloud platforms, it is manageable and not very expensive."

"You only pay for what you use."

"The solution is not expensive, but priced averagely, I will say."

"There is a community edition available and the price of the commercial offering is reasonable."

"I rate the pricing a four on a scale of one to ten, where one is cheap, and ten is expensive."

"I'm not involved in the financial aspect, but I think the licensing costs are similar to other solutions. If all the solutions have a similar cost, Devo provides more for the money."

"I like the pricing very much. They keep it simple. It is a single price based on data ingested, and they do it on an average. If you get a spike of data that flows in, they will not stick it to you or charge you for that. They are very fair about that."

"Be cautious of metadata inclusion for log types in pricing, as there are some "gotchas" with that."

"It's a per gigabyte cost for ingestion of data. For every gigabyte that you ingest, it's whatever you negotiated your price for. Compared to other contracts that we've had for cloud providers, it's significantly less."

"Pricing is based on the number of gigabytes of ingestion by volume, and it's on a 30-day average. If you go over one day, that's not a big deal as long as the average is what you expected it to be."

"Devo is a hosted or subscription-based solution, whereas before, we purchased QRadar, so we owned it and just had to pay a maintenance fee. We've encountered this with some other products, too, where we went over to subscription-based. Our thought process is that with subscription based, the provider hosts and maintains the tool, and it's offsite. That comes with some additional fees, but we were able to convince our upper management it was worth the price. We used to pay under 10k a year for maintenance, and now we're paying ten times that. It was a relatively tough sell to our management, but I wonder if we have a choice anymore; this is where the market is."

"Devo is definitely cheaper than Splunk. There's no doubt about that. The value from Devo is good. It's definitely more valuable to me than QRadar or LogRhythm or any of the old, traditional SIEMs."

More Devo pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Manufacturing Company

10%

Computer Software Company

Government

Financial Services Firm

15%

Construction Company

10%

Outsourcing Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	2
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	10
Midsize Enterprise	5
Large Enterprise	12

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?

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 Devo?

The pricing of the product is reasonable if we compare it with other Gartner leading products like Splunk, LogRhythm, Microsoft Sentinel, Google SecOps. Its licensing model is basically on per-day ...

What needs improvement with Devo?

What is your primary use case for Devo?

I am using Devo myself. Basically, I work at an MSSP, and we provide services to the organization for Security Operation Centers. In our Security Operation Center, we provide the service of SIEM vi...

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Compared 4% of the time

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Compared 8% of the time

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Compared 7% of the time

New Relic vs Devo

Compared 4% of the time

IBM Security QRadar vs Devo

Compared 3% of the time

Datadog vs Devo

Compared 3% of the time

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Product Reports

Amazon OpenSearch Service

August 2026

Download Amazon OpenSearch Service product report

Download Devo product report

August 2026

Also Known As

Amazon Elasticsearch Service

No data available

Overview

Amazon OpenSearch Service provides scalable and reliable search capabilities with efficient data processing, supporting easy domain configuration and integration with numerous systems for enhanced performance.

Amazon OpenSearch Service offers advanced features for handling JSON, diverse search grammars, quick historical data retrieval, and ultra-warm storage. It also includes customizable dashboards and seamless tool integration for large enterprises. With its managed infrastructure, OpenSearch Service supports efficient system analysis and business analytics, improving overall performance and flexibility. Despite these features, areas like configuration complexity, lack of auto-scaling, and integration with Kibana require attention. Users seek enhanced documentation, better pricing options, and more flexible data handling. Desired improvements include default filters, mapping configuration, and alerting capabilities. Enhanced data visualization and Compute Optimizer Service integration are also recommended for future updates.

What features define Amazon OpenSearch Service?

Scalable Search: Offers reliable search capabilities across vast datasets.
JSON Handling: Supports efficient management of JSON data.
Ultra-warm Storage: Enables cost-effective historical data retrieval.
Dashboard Customization: Supports tool integration and tailored visuals.
System Upgrades: Allows for seamless infrastructure upgrades.

What benefits and ROI should users consider?

Performance Enhancement: Significant improvement in search and data retrieval.
Cost-Effectiveness: Provides a cloud-native solution optimized for AWS environments.
Comprehensive Analytics: Delivers detailed insights for business applications.

Amazon OpenSearch Service is utilized in various industries for log management, data storage, and search capabilities. It supports infrastructure and embedded management, analyzing logs from AWS Lambda, Kubernetes, and other services. Companies use it for application debugging, monitoring security and performance, and customer behavior analysis, integrating it with tools like DynamoDB and Snowflake for a cost-effective solution.

Amazon Web Services (AWS)

Devo offers powerful visual analytics, real-time data querying, and log integration capabilities within a cloud-native, multi-tenant architecture, supporting extended data retention ideal for long-term analysis and compliance.

Devo is recognized for its Activeboards, which facilitate visual analytics. High-speed search capabilities and real-time analytics enable efficient data manipulation and querying. Its multi-tenant architecture supports effective data segregation and customization tailored to distinct business needs, enhancing its value for handling complex log integrations. With extended data retention of 400 days and a cloud-native architecture, Devo is a robust platform for long-term analysis and compliance requirements. Though opportunities exist to improve browser stability on large searches, SOAR integrations, and its parser capabilities, Devo remains essential for incident response and security monitoring, offering centralized data storage and analysis.

What are Devo's most important features?

Activeboards: Facilitate visual analytics and data exploration.
High-Speed Search: Enables fast data querying and manipulation.
Real-Time Analytics: Supports instant insights and decision-making.
Multi-Tenant Architecture: Allows effective data segregation and customization.
Extended Data Retention: Offers 400-day log retention for compliance and analysis.
Complex Log Integration: Handles intricate data sources effortlessly.

What benefits and ROI should organizations look for in reviews?

Visual Insights: Enhance understanding through interactive dashboards.
Performance Efficiency: Saves time with high-speed data search and real-time results.
Customization Flexibility: Fits specific business requirements with multi-tenant architecture.
Long-Term Compliance: Ensures alignment with extended data retention needs.
Centralized Monitoring: Enables comprehensive incident response and security monitoring.

Devo is extensively used in industries focused on incident response and digital forensics, centralizing data for security monitoring across hybrid environments. Organizations benefit from its ability to store and analyze aggregated logs, creating alerts and dashboards to enhance visibility for network and endpoint activities in multi-domain settings.

Sample Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel

United States Air Force, Rubrik, SentinelOne, Critical Start, NHL, Panda Security, Telefonica, CaixaBank, OpenText, IGT, OneMain Financial, SurveyMonkey, FanDuel, H&R Block, Ulta Beauty, Manulife, Moneylion, Chime Bank, Magna International, American Express Global Business Travel