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AWS Security Hub vs Microsoft Sentinel comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 18, 2024

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

AWS Security Hub
Ranking in Security Orchestration Automation and Response (SOAR)
5th
Average Rating
7.6
Reviews Sentiment
6.5
Number of Reviews
25
Ranking in other categories
Cloud Security Posture Management (CSPM) (14th)
Microsoft Sentinel
Ranking in Security Orchestration Automation and Response (SOAR)
1st
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
98
Ranking in other categories
Security Information and Event Management (SIEM) (3rd), Microsoft Security Suite (6th), AI-Powered Cybersecurity Platforms (5th)
 

Mindshare comparison

As of September 2025, in the Security Orchestration Automation and Response (SOAR) category, the mindshare of AWS Security Hub is 8.3%, down from 9.5% compared to the previous year. The mindshare of Microsoft Sentinel is 16.3%, down from 20.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Security Orchestration Automation and Response (SOAR) Market Share Distribution
ProductMarket Share (%)
Microsoft Sentinel16.3%
AWS Security Hub8.3%
Other75.4%
Security Orchestration Automation and Response (SOAR)
 

Q&A Highlights

NC
Nov 26, 2021
 

Featured Reviews

MuhammadAzhar Khan - PeerSpot reviewer
Offers best practice recommendations and supports various compliance standards
Security Hub provides insightful information about what is running and where there might be weaknesses. It offers best practice recommendations and supports various compliance standards such as ISO and PCI DSS. Enabling these compliance checks helps identify non-compliant services and suggests steps to achieve compliance. The main advantage is providing information and compliance insights rather than prevention.
Ivan Angelov - PeerSpot reviewer
Threat detection and response capabilities enhance investigation processes
My security team has been using Microsoft Sentinel for around two years. We also have Bastion and SolarWinds as part of our monitoring tools. We use a three-way tool, alongside Microsoft Sentinel, in our environment The most valuable features for us include threat collection, threat detection,…

Quotes from Members

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

Pros

"The advantage is that it is cloud-native, and we do not need to install agents or sensors to find findings."
"It's a security posture management tool from AWS. Basically, it identifies misconfigurations, similar to Trusted Advisor but on a larger scale."
"One of the most effective features of AWS Security Hub is the easy access to a dashboard with a ready-to-use security score."
"Security Hub provides insightful information about what is running and where there might be weaknesses."
"Cloudposse is a valuable feature as it guarantees my security."
"The most beneficial aspect of Security Hub is its proactive capability, allowing us to identify potential security issues before they escalate."
"I find all of the features to be highly valuable."
"I like that AWS Security Hub currently has several good features, around four or five. The technical support for AWS Security Hub is also responsive."
"Sentinel's most important feature is the ability to centralize all the logs in one place. There's no need to search multiple systems for information."
"It has a lot of great features."
"The AI and ML of Azure Sentinel are valuable. We can use machine learning models at the tenant level and within Office 365 and Microsoft stack. We don't need to depend upon any other connectors. It automatically provisions the native Microsoft products."
"Sentinel is a Microsoft product, so they provide very robust use cases and analytic groups, which are very beneficial for the security team. I also like the ability to integrate data sources into the software for on-premise and cloud-based solutions."
"It has basic out-of-the-box integrations with multiple log sources."
"The scalability is great. You can put unlimited logs in, as long as you can pay for it. There are commitment tiers, up to six terabytes per day, which is nowhere close to what any one of our customers is running."
"The analytic rule is the most valuable feature."
"We feel safe knowing that we have a solution that we can use to react in case of an emergency."
 

Cons

"Whenever my team gets some alarms from the central team, my team needs to initiate whether it's a real or false trigger. The central team needs to keep adjusting to the parameters or at least the concerned IPs, whether it's really from the company's pool of IPs, so the trigger process can be improved. In the next release of AWS Security Hub, I'd like a better dashboard that could result in better alert visibility."
"Although AWS Security Hub does a periodic scan of your overall infrastructure, it doesn't do it in real time."
"There is room for improvement in implementing AI capabilities. It would be beneficial for Security Hub to implement preventative measures and to directly apply recommendations instead of just suggesting them."
"I would like a more fine-grained capability for creating custom rules and a more user-friendly experience programmatically in writing queries and configuring custom security rules, making it quicker and easier."
"The telemetry doesn't always go into the control center. When you have multiple instances running in AWS, you need a control tower to take feeds from Security Hub and analyze your results. Sometimes exemptions aren't passed between the control tower and Security Hub. The configuration gets mixed up or you don't get the desired results."
"There is room for improvement in implementing AI capabilities."
"The user interface, graphs, and dashboards of the solution could improve in the future. They are not very sophisticated and could use an update."
"The solution lacks self-sufficiency."
"I would like to be able to monitor applications outside of the Azure Cloud."
"We do see continuous improvement all the time, however, I haven't got a specific feature that is lacking or not well designed."
"Microsoft Sentinel can be improved in terms of automation or connecting with security products so that it is easier to use for general IT admins."
"Given that I am in the small business space, I wish they would make it easier to operate Sentinel without being a Sentinel expert. Examples of things that could be easier are creating alerts and automations from scratch and designing workbooks."
"The solution should allow for a streamlined CI/CD procedure."
"The product can be improved by reducing the cost to use AI machine learning."
"In terms of improvements, pricing, licensing, and overall cost could be better."
"My primary improvement request would be for auxiliary logs, as they represent our biggest need."
 

Pricing and Cost Advice

"Security Hub is not an expensive solution."
"AWS Security Hub is not an expensive tool. I would consider it to be a cheap solution. AWS Security Hub follows the PAYG pricing model, meaning you will have to pay for whatever you use."
"The price of the solution is not very competitive but it is reasonable."
"The cost is based on the number of compliances, core checks, and services required, and for more than 10,000 recommendations, the charge is just one dollar."
"AWS Security Hub's pricing is pretty reasonable."
"The price of AWS Security Hub is average compared to other solutions."
"There are multiple subscription models, like yearly, monthly, and packaged."
"The pricing is fine. It is not an expensive tool."
"The price is reasonable because Sentinel includes features like user behavior analytics and SOAR that are typically sold separately. Overall, a standalone on-prem solution would require some high-end servers, and there's a different cost. It is a cloud-based solution, so there are backend cloud computing costs, but they are negligible."
"From a cost point of view, it is not a cheap product. It's, like, an enterprise-level application. So if you compare it with a low-level application, it's expensive, but if you compare it with the same-level application, it's pretty much cost-effective, I think."
"It is consumption-based pricing. It is an affordable solution."
"Pricing for Microsoft Sentinel could always be lower, but it's workable. The ingestion costs for the data analytics is usually the highest cost, but the licensing per Microsoft Sentinel is fairly straightforward and transparent."
"Microsoft Sentinel can be costly, particularly for data management."
"We only pay for the amount of data we bring in, which is fair."
"From a cost perspective, Microsoft Sentinel is quite costly."
"Sentinel is a pay-as-you-go solution. To use it, you need a Log Analytics workspace. This is where the logs are stored and the cost of Log Analytics is based on gigabytes... On top of that, there is the cost of Sentinel, which is about €2 per gigabyte. If a customer has an M365 E5 license, the logs that come from Microsoft Defender are free."
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Comparison Review

it_user186927 - PeerSpot reviewer
Feb 16, 2015
Cybereason vs. Interset vs. SQRRL
Capture DB - they all use NoSQL db and hence solve the ad hoc query and 'go back in time' problem with current best of breed SIEM and DLP solutions that rely on real time analysis of incoming logs (and don't store them). This means deeper and quicker iterative threat analysis and assessment…
 

Answers from the Community

NC
Nov 26, 2021
Nov 26, 2021
We like that Azure Sentinel does not require as much maintenance as legacy SIEMs that are on-premises. Azure Sentinel is auto-scaling - you will not have to worry about performance impact, you will always have the performance capability you need. If you have Microsoft 365, it is very easy to plug the endpoints into Azure Sentinel. With this solution, you can go on the offensive and stay proact...
See 2 answers
Nov 24, 2021
We like that Azure Sentinel does not require as much maintenance as legacy SIEMs that are on-premises. Azure Sentinel is auto-scaling - you will not have to worry about performance impact, you will always have the performance capability you need. If you have Microsoft 365, it is very easy to plug the endpoints into Azure Sentinel. With this solution, you can go on the offensive and stay proactive, continually hunting for threats. Azure Sentinel is purely cloud-based and a leading next-generation SIEM. We have experienced a few false positives with Azure Sentinel. There is a certain level of expertise that you need to possess to appropriately utilize all of Azure Sentinel's offerings - it can be a somewhat steep learning curve to get things running at capacity. It would be an improvement if Azure Sentinel integrated better with other SaaS providers and offered more out-of-the-box connectors. You get a huge range of powerful security tools with AWS Security Hub, including compliance scanners, vulnerability endpoint protection, and firewalls. AWS Security Hub has very good detection and offers helpful real-time alerts. AWS Security Hub aggregates, organizes, and prioritizes security alerts or findings from other AWS services, all in one single pane. AWS Security Hub lacks a certain level of self-sufficiency, though. We would like to see AWS Security Hub become a multi-cloud solution. AWS Security Hub has some regional restrictions that have proved problematic for us; we need visibility for all instances we have on our account. We found that AWS Security Hub is not a good global product. Conclusion: We felt AWS was lacking in some basic features we consider essential, like multi-region coverage. We also wanted a solution that was more intuitive. We found Azure Sentinel to be a better fit for our team and our clients. We have a global reach and need a product that could satisfy cross-region coverage efficiently. We also feel that Azure Sentinel offers better proactive threat awareness.
Shibu Babuchandran - PeerSpot reviewer
Nov 26, 2021
Hi @Netanya Carmi ​, Had prepared some comparison factors between AWS and Azure for one of my presales discussions, hope this will hold some insights .So depending on the requirements from the client appropriate solutions can be proposed. Widely Azure Sentinel is what has be going of matching the customer requriements. AI and machine learning AWS service Azure service Description SageMaker Machine Learning A cloud service to train, deploy, automate, and manage machine learning models. Alexa Skills Kit Bot Framework Build and connect intelligent bots that interact with your users using text/SMS, Skype, Teams, Slack, Microsoft 365 mail, Twitter, and other popular services. Lex Speech Services API capable of converting speech to text, understanding intent, and converting text back to speech for natural responsiveness. Lex Language Understanding (LUIS) Allows your applications to understand user commands contextually. Polly, Transcribe Speech Services Enables both Speech to Text, and Text into Speech capabilities. Rekognition Cognitive Services Computer Vision: Extract information from images to categorize and process visual data. Face: Detect, identify, and analyze faces and facial expressions in photos. Skills Kit Virtual Assistant The Virtual Assistant Template brings together a number of best practices we've identified through the building of conversational experiences and automates integration of components that we've found to be highly beneficial to Bot Framework developers. Big data and analytics AWS service Azure service Description Redshift Synapse Analytics Cloud-based Enterprise Data Warehouse (EDW) that uses Massively Parallel Processing (MPP) to quickly run complex queries across petabytes of data. Lake Formation Data Share A simple and safe service for sharing big data Big data processing AWS service Azure service Description EMR Azure Data Explorer Fully managed, low latency, distributed big data analytics platform to run complex queries across petabytes of data. EMR Databricks Apache Spark-based analytics platform. EMR HDInsight Managed Hadoop service. Deploy and manage Hadoop clusters in Azure. EMR Data Lake Storage Massively scalable, secure data lake functionality built on Azure Blob Storage. Data orchestration / ETL AWS service Azure service Description Data Pipeline, Glue Data Factory Processes and moves data between different compute and storage services, as well as on-premises data sources at specified intervals. Create, schedule, orchestrate, and manage data pipelines. Glue Azure Purview A unified data governance service that helps you manage and govern your on-premises, multicloud, and software as a service (SaaS) data. Dynamo DB Table Storage, Cosmos DB NoSQL key-value store for rapid development using massive semi-structured datasets. Analytics and visualization AWS service Azure service Description Kinesis Analytics Stream Analytics Storage and analysis platforms that create insights from large quantities of data, or data that originates from many sources. Azure Data Explorer Data Lake Analytics Data Lake Store QuickSight Power BI Business intelligence tools that build visualizations, perform ad hoc analysis, and develop business insights from data. CloudSearch Cognitive Search Delivers full-text search and related search analytics and capabilities. Athena Data Lake Analytics Provides a serverless interactive query service that uses standard SQL for analyzing databases. Azure Synapse Analytics Azure Synapse Analytics is a limitless analytics service that brings together data integration, enterprise data warehousing, and big data analytics. It gives you the freedom to query data on your terms, using either serverless or dedicated resources at scale. Elasticsearch Service Elastic on Azure Use the Elastic Stack (Elastic, Logstash, and Kibana) to search, analyze, and visualize in real time. Database Type AWS Service Azure Service Description Relational database RDS SQL Database Managed relational database services in which resiliency, scale and maintenance are primarily handled by the Azure platform. Database for MySQL Database for PostgreSQL Database for MariaDB Serverless relational database Amazon Aurora Serverless Azure SQL Database serverless Database offerings that automatically scales compute based on the workload demand. You're billed per second for the actual compute used (Azure SQL)/data that's processed by your queries (Azure Synapse Analytics Serverless). Serverless SQL pool in Azure Synapse Analytics NoSQL/ DynamoDB Cosmos DB Cosmos DB is a globally distributed, multi-model database that natively supports multiple data models including key-value pairs, documents, graphs and columnar. Document SimpleDB Amazon DocumentDB Caching ElastiCache Cache for Redis An in-memory–based, distributed caching service that provides a high-performance store typically used to offload nontransactional work from a database. Database migration Database Migration Service Database Migration Service A service that executes the migration of database schema and data from one database format to a specific database technology in the cloud.
 

Top Industries

By visitors reading reviews
Computer Software Company
13%
Financial Services Firm
12%
Manufacturing Company
10%
Government
6%
Computer Software Company
15%
Financial Services Firm
11%
Manufacturing Company
8%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise5
Large Enterprise12
By reviewers
Company SizeCount
Small Business37
Midsize Enterprise20
Large Enterprise41
 

Questions from the Community

Which is better - Azure Sentinel or AWS Security Hub?
We like that Azure Sentinel does not require as much maintenance as legacy SIEMs that are on-premises. Azure Sentinel is auto-scaling - you will not have to worry about performance impact, you will...
What do you like most about AWS Security Hub?
The most valuable features of the solution are the scanning of all the cloud environments and most of the compliances available in the cloud.
What needs improvement with AWS Security Hub?
Regarding how Amazon can improve AWS Security Hub, they have numerous services that are discriminated individually and grouped into packages. However, the sheer number of services can be overwhelmi...
Is there a common threat intelligence tool that aggregates multiple threat intelligence sources?
Yes, Azure Sentinel is a SIEM on the Cloud. Multiple data sources can be uploaded and analyzed with Azure Sentinel and its Threat Hunting functionality with AI available as templates or customized ...
What is a better choice, Splunk or Azure Sentinel?
It would really depend on (1) which logs you need to ingest and (2) what are your use cases Splunk is easy for ingestion of anything, but the charge per GB/Day Indexed and it gets expensive as log ...
What do you like most about Microsoft Sentinel?
The most valuable feature is the alert notifications, which are categorized by severity levels: informational, low, medium, and high.
 

Also Known As

SQRRL
Azure Sentinel
 

Overview

 

Sample Customers

Edmunds, Frame.io, GoDaddy, Realtor.com
Microsoft Sentinel is trusted by companies of all sizes including ABM, ASOS, Uniper, First West Credit Union, Avanade, and more.
Find out what your peers are saying about AWS Security Hub vs. Microsoft Sentinel and other solutions. Updated: July 2025.
867,676 professionals have used our research since 2012.