Amazon OpenSearch Service vs Snyk comparison

Amazon OpenSearch Service

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Executive SummaryUpdated on Jan 11, 2026

Snyk and Amazon OpenSearch Service compete in the developer and data management tool category. Snyk appears to have the upper hand due to its developer-focused features and comprehensive vulnerability management, while Amazon OpenSearch Service offers strong data analytics capabilities.

Features: Snyk is notable for its simplicity, ease of integration, and broad developer-friendly features like self-service capabilities and a comprehensive vulnerability database. It seamlessly integrates with multiple platforms and source controls, particularly benefiting open-source projects. Amazon OpenSearch Service offers powerful search and analytics, excelling in event data management and scalable performance, with multiple integrations for data retrieval and analysis.

Room for Improvement: Snyk could improve by expanding into static and dynamic application security testing, supporting additional programming languages, and enhancing its notification filtering. Amazon OpenSearch Service needs to improve its configuration process, auto-scaling capabilities, and reduce costs associated with idle use, alongside enhancing data handling and visualization features.

Ease of Deployment and Customer Service: Snyk supports both cloud and on-premises deployment, offering robust support with a responsive technical team and a hands-on approach to customer service. Amazon OpenSearch Service, primarily cloud-based, provides strong technical support with quick configurations but lacks the extensive deployment options Snyk offers.

Pricing and ROI: Snyk is a premium product, yet offers significant value through efficiency in vulnerability management, delivering returns by enhancing developer productivity and security. Amazon OpenSearch Service is costlier than self-hosted alternatives but justifies its price through simplified infrastructure management and operational cost savings.

To learn more, read our detailed Amazon OpenSearch Service vs. Snyk Report (Updated: December 2025).

Amazon OpenSearch Service vs. Snyk

December 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

26th

Average Rating

7.6

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Log Management (22nd), Search as a Service (3rd)

Snyk

Ranking in Application Performance Monitoring (APM) and Observability

16th

Average Rating

8.2

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Application Security Tools (7th), Static Application Security Testing (SAST) (8th), GRC (4th), Cloud Management (11th), Vulnerability Management (13th), Container Security (6th), Software Composition Analysis (SCA) (1st), Software Development Analytics (2nd), Cloud Security Posture Management (CSPM) (15th), DevSecOps (2nd), Application Security Posture Management (ASPM) (2nd), AI Security (11th)

Mindshare comparison

As of January 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Amazon OpenSearch Service is 1.6%, up from 1.2% compared to the previous year. The mindshare of Snyk is 1.0%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Market Share Distribution
Product	Market Share (%)
Snyk	1.0%
Amazon OpenSearch Service	1.6%
Other	97.4%

Application Performance Monitoring (APM) and Observability

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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Abhishek-Goyal

Software Engineer at a computer software company with 11-50 employees

Improves security posture by actively reducing critical vulnerabilities and guiding remediation

Snyk's main features include open-source vulnerability scanning, code security, container security, infrastructure as code security, risk-based prioritization, development-first integration, continuous monitoring and alerting, automation, and remediation. The best features I appreciate are the vulnerability checking, vulnerability scanning, and code security capabilities, as Snyk scans all open-source dependencies for known vulnerabilities and helps with license compliance for open-source components. Snyk integrates into IDEs, allowing issues to be caught as they appear in the code dynamically and prioritizes risk while providing remediation advice. Snyk provides actionable remediation advice on where vulnerabilities can exist and where code security is compromised, automatically scanning everything and providing timely alerts. Snyk has positively impacted my organization by improving the security posture across all software repositories, resulting in fewer critical vulnerabilities, more confidence in overall product security, and faster security compliance for project clients. Snyk has helped reduce vulnerabilities significantly. Initially, the repository had 17 to 31 critical and high vulnerabilities, but Snyk has helped manage them down to just five vulnerabilities, which are now lower and not high or critical.

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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

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

"Amazon OpenSearch Service provides a managed database solution, so we don't need to manage everything ourselves."

"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."

"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."

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

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

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

More Amazon OpenSearch Service pros

"Snyk performs software composition analysis (SCA) similar to other expensive tools."

"Snyk helps me pinpoint security errors in my code."

"The product's most valuable features are an open-source platform, remote functionality, and good pricing."

"Its reports are nice and provide information about the issue as well as resolution. They also provide a proper fix. If there's an issue, they provide information in detail about how to remediate that issue."

"Snyk is a good and scalable tool."

"The valuable aspect is its security capabilities."

"The most valuable feature of Snyk is the SBOM."

"From a compliance and visibility reporting perspective, the fact that it can be applicable for multi-cloud environments is very helpful."

More Snyk pros

Cons

"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."

"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 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."

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

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

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

More Amazon OpenSearch Service cons

"Offering API access in the lower or free open-source tiers would be better. That would help our customers. If you don't have an enterprise plan, it becomes challenging to integrate with the rest of the systems. Our customers would like to have some open-source integrations in the next release."

"The log export function could be easier when shipping logs to other platforms such as Splunk."

"The general input I have is that there is an opportunity for them to better align with other similar tools and better align with similar capabilities that cloud suppliers deliver natively."

"A feature we would like to see is the ability to archive and store historical data, without actually deleting it. It's a problem because it throws my numbers off. When I'm looking at the dashboard's current vulnerabilities, it's not accurate."

"Snyk has several limitations, including issues with Gradle, NPM, and Xcode, and trouble with AutoPR."

"Compatibility with other products would be great."

"Although Snyk is strong, sometimes it flags vulnerabilities that are not reachable, not exploitable, and not relevant to a project."

"The tool needs improvement in license compliance. I would like to see the integration of better policy management in the product's future release. When it comes to the organization that I work for, there are a lot of business units since we are a group of companies. Each of these companies has its specific requirements and its own appetite for risk. This should be able to reflect in flexible policies. We need to be able to configure policies that can be adjusted later or overridden by the business unit that is using the product."

More Snyk 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."

"It is pretty expensive. It is not a cheap product."

"It's inexpensive and easy to license. It comes in standard package sizing, which is straightforward. This information is publicly found on their website."

"We do have some missing licenses issues, especially with non-SPDX compliant one, but we expect this to be fixed soon"

"Pricing-wise, it is not expensive as compared to other tools. If you have a couple of licenses, you can scan a certain number of projects. It just needs to be attached to them."

"The product has good pricing."

"On a scale of one to ten, where one is cheap and ten is expensive, I rate the pricing a three. It is a cheap solution."

"It's good value. That's the primary thing. It's not cheap-cheap, but it's good value."

"You can get a good deal with Snyk for pricing. It's a little expensive, but it is worth it."

More Snyk pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

11%

Manufacturing Company

10%

Government

Financial Services Firm

15%

Computer Software Company

11%

Manufacturing Company

10%

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	2
Large Enterprise	2

By reviewers
Company Size	Count
Small Business	21
Midsize Enterprise	9
Large Enterprise	21

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

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?

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 t...

How does Snyk compare with SonarQube?

Snyk does a great job identifying and reducing vulnerabilities. This solution is fully automated and monitors 24/7 to find any issues reported on the internet. It will store dependencies that you a...

What do you like most about Snyk?

The most effective feature in securing project dependencies stems from its ability to highlight security vulnerabilities.

What needs improvement with Snyk?

There are a lot of false positives that need to be identified and separated. The inclusion of AI to remove false positives would be beneficial. So far, I've not seen any AI features to enhance vuln...

Grafana Loki vs Amazon OpenSearch Service

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Compared 16% of the time

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Compared 4% of the time

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Compared 3% of the time

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Product Reports

Amazon OpenSearch Service

January 2026

Download Amazon OpenSearch Service product report

Download Snyk product report

January 2026

Also Known As

Amazon Elasticsearch Service

Fugue, Snyk AppRisk

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)

Snyk excels in integrating security within the development lifecycle, providing teams with an AI Trust Platform that combines speed with security efficiency, ensuring robust AI application development.

Snyk empowers developers with AI-ready engines offering broad coverage, accuracy, and speed essential for modern development. With AI-powered visibility and security, Snyk allows proactive threat prevention and swift threat remediation. The platform supports shifts toward LLM engineering and AI code analysis, enhancing security and development productivity. Snyk collaborates with GenAI coding assistants for improved productivity and AI application threat management. Platform extensibility supports evolving standards with API access and native integrations, ensuring comprehensive and seamless security embedding in development tools.

What are Snyk's standout features?

Simplicity and Integration: Easy to integrate across platforms like GitLab, GitHub, and Jira.
Comprehensive Vulnerability Database: Offers accurate reporting for effective vulnerability management.
Developer-Friendly Design: Supports multiple programming languages, appealing to developers.
Automation and Flexibility: Enhances workflow efficiency with automated capabilities.

What benefits can users expect?

Efficiency in Vulnerability Detection: Streamlines prioritization and remediation processes.
Cost-Effectiveness: Offers a competitive pricing model compared to alternatives.
Enhanced Workflow: Integration with DevOps tools improves development processes.

Industries leverage Snyk for security in CI/CD pipelines by automating checks for dependency vulnerabilities and managing open-source licenses. Its Docker and Kubernetes scanning capabilities enhance container security, supporting a proactive security approach. Integrations with platforms like GitHub and Azure DevOps optimize implementation across diverse software environments.

Sample Customers

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

StartApp, Segment, Skyscanner, DigitalOcean, Comic Relief