Amazon OpenSearch Service vs Devo comparison

Amazon OpenSearch Service

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93% willing to recommend

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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: September 2026).

Amazon OpenSearch Service vs. Devo

September 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 (29th), Search as a Service (3rd)

Devo

Ranking in Log Management

21st

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Security Information and Event Management (SIEM) (16th), IT Operations Analytics (7th), AIOps (17th)

Mindshare comparison

As of November 2026, in the Log Management category, the mindshare of Amazon OpenSearch Service is 1.2%, 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	1.2%
Devo	1.4%
Other	97.4%

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

"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."

"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."

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

"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."

"The initial set up is very easy...We really appreciate Amazon!"

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

More Amazon OpenSearch Service pros

"It centralizes security management within a business, functioning as a core system for a SOC."

"The features I find most valuable in Devo are that it works on unstructured data."

"The Hyperstream engine and real-time alerting help my team by leveraging a stream-oriented architecture that minimizes latency during data ingestion."

"Devo provides a multi-tenant, cloud-native architecture. This is critical for managed service provider environments or multinational organizations who may have subsidiaries globally. It gives organizations a way to consolidate their data in a single accessible location, yet keep the data separate. This allows for global views and/or isolated views restricted by access controls by company or business unit."

"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."

"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."

"One of the biggest features of the UI is that you see the actual code of what you're doing in the graphical user interface, in a little window on the side. Whatever you're doing, you see the code, what's happening. And you can really quickly switch between using the GUI and using the code. That's really useful."

"Because of the way Devo works, our onboarding time has shrunk by 50 percent at least."

More Devo pros

Cons

"As a user, lower prices or reasonable pricing is always better."

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

"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."

"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."

"They can enhance data visualization."

"The configuration should be more straightforward because we had to select a lot of things."

"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."

"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."

More Amazon OpenSearch Service cons

"My opinion on the solution's technical support is not as great as it could be because of the issues I have faced regarding the service management element."

"Both response time and support quality need attention."

"I would like to have the ability to create more complex dashboards."

"We only use the core functionality and one of the reasons for this is that their security operation center needs improvement."

"In terms of return on investment with Devo, I'd say it has been costly due to the need for support and the overtime required for issues experienced at the beginning of the project."

"Some third-parties don't have specific API connectors built, so we had to work with Devo to get the logs and parse the data using custom parsers, rather than an out-of-the-box solution."

"Where Devo has room for improvement is the data ingestion and parsing. We tend to have to work with the Devo support team to bring on and ingest new sources of data."

"The cost is a little higher compared to other tools such as DataDog or Elasticsearch, so they could work on reducing costs."

More Devo cons

Pricing and Cost Advice

"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."

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

"You only pay for what you use."

"Our licensing fees are billed annually and per terabyte."

"It's very competitive. That was also a primary draw for us. Some of the licensing models with solutions like Splunk and Sentinel were attractive upfront, but there were so many micro-charges and services we would've had to add on to make them what we wanted. We had to include things like SOAR and extended capabilities, whereas all those capabilities are completely included with the Devo platform. I haven't seen any additional fee."

"We have an OEM agreement with Devo. It is very similar to the standard licensing agreement because we are charged in the same way as any other customer, e.g., we use the backroom."

"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."

"The way Devo prices things is based on the amount of data, and I wish the tiers had more granularity. Maybe at this point they do, but when we first negotiated with them, there were only three or four tiers."

"[Devo was] in the ballpark with at least a couple of the other front-runners that we were looking at. Devo is a good value and, given the quality of the product, I would expect to pay more."

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

More Devo pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

10%

Computer Software Company

Comms Service Provider

Financial Services Firm

16%

Outsourcing Company

11%

Construction Company

10%

Manufacturing Company

10%

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	11
Midsize Enterprise	6
Large Enterprise	15

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 price is considered okay.

What needs improvement with Devo?

In terms of improvements, I think Devo falls short with their support model, as they rely mainly on their support team in Spain. Although they do have a support team in North America, they lack kno...

What is your primary use case for Devo?

Devo is the bank's centralized log management platform that my team and I rely on the most. For centralized log management in our day-to-day work, one of the biggest data users would be our Red Hat...

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Compared 3% of the time

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Product Reports

Amazon OpenSearch Service

October 2026

Download Amazon OpenSearch Service product report

Download Devo product report

October 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