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Query.ai vs Upwind comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Mar 29, 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

Query.ai
Ranking in AI Security
29th
Average Rating
8.0
Reviews Sentiment
4.3
Number of Reviews
3
Ranking in other categories
Security Analytics (5th), AI Data Analysis (28th)
Upwind
Ranking in AI Security
11th
Average Rating
9.6
Reviews Sentiment
6.7
Number of Reviews
4
Ranking in other categories
Vulnerability Management (39th), Container Security (26th), Cloud Workload Protection Platforms (CWPP) (18th), API Security (11th), Cloud Security Posture Management (CSPM) (25th), Cloud-Native Application Protection Platforms (CNAPP) (15th), Attack Surface Management (ASM) (30th), Dynamic Application Security Testing (DAST) (11th), Data Security Posture Management (DSPM) (18th), Cloud Infrastructure Entitlement Management (CIEM) (8th), Cloud Detection and Response (CDR) (7th)
 

Mindshare comparison

As of October 2026, in the AI Security category, the mindshare of Query.ai is 0.3%. The mindshare of Upwind is 1.1%, down from 10.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
AI Security Mindshare Distribution
ProductMindshare (%)
Upwind1.1%
Query.ai0.3%
Other98.6%
AI Security
 

Featured Reviews

reviewer2834415 - PeerSpot reviewer
DevSecOps engineer at a financial services firm with 10,001+ employees
Query automation has reduced investigation time and frees our team to focus on complex DevOps tasks
The best features Query.ai offers make anything with queries much easier, and it ensures that it is very optimistically correct with whatever it is doing. It also delivers access throughout real-time and historical data, making it really quick and fast to act upon. The real-time and historical data access from Query.ai helps me in my work by allowing me to go through queries quicker, so even if there are errors anywhere, detection happens pretty fast. Because it is on automation and the investigation is done really quickly, it saves a lot of my time. Query.ai has positively impacted my organization by being very appreciative for what it has done and how there is lesser work task on ourselves, and we could be focusing on more things because as DevOps, we have a lot of work. The reduction in workload due to Query.ai has made things easier, especially every time we need to investigate why an SQL query is not loading or if it is duplicating. It is especially effective during access management to either provision or de-provision access for users.
Mohammed Mudasser - PeerSpot reviewer
AI/ML Engineer at a educational organization with 501-1,000 employees
Runtime context has transformed how we prioritize exploitable cloud risks and protect workloads
I appreciate runtime context, which helps connect vulnerabilities and misconfigurations with actual workload behavior and network relationships, making it easier to prioritize remediation based on real exposure rather than simply working through a long list of security findings. The best features that stand out to me are contextual vulnerability prioritization, cloud workload visibility, and runtime security. I especially value how Upwind connects vulnerabilities with actual runtime behavior, which helps focus on exploitable risk rather than working through a long list of findings. It has helped us focus on actual exploitable risk instead of treating every vulnerability equally. By considering runtime activity, exposure, reachability, and sensitive data context, the team can prioritize remediation much faster and reduce unnecessary alert noise. I also value the runtime visibility and attack path context because it connects security findings with network behavior and actual workload. This makes investigations more actionable and helps the team move from simply detecting issues to understanding their real impact. The biggest positive impact has been the prioritization of cloud security risk and improved visibility. Instead of chasing every vulnerability, we can focus on issues that are actually exposed or active at runtime, which makes the security team more efficient and remediation more targeted.

Quotes from Members

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

Pros

"Query.ai helps reduce costs and improve security in my organization, though I do not have the actual numbers, but the impact was significant."
"Query.ai has positively impacted my organization by being very appreciative for what it has done and how there is lesser work task on ourselves, and we could be focusing on more things because as DevOps, we have a lot of work."
"Time saving and accuracy are the main benefits; in my data mart and data lakes project, Query.ai has been very useful, with all transformations automated, which had a huge impact on our entire project."
"They are a great overall cloud security platform and they continue innovating and adding new features."
"The combination of runtime visibility, security insights, and contextual risk prioritization makes it much easier to focus on the risks that actually matter."
"Upwind has positively impacted my organization by reducing time to action and time to response by half."
"My advice for others looking into using Upwind is that if you are seeking a strong CNAPP with an advanced runtime and strong CDR capabilities, this is the product."
 

Cons

"Query.ai performs well, but there are other software options that do auditing a little better."
"Probably Query.ai could be a little more optimized, but it is good."
"I felt the pricing is somewhat higher."
"Upwind can be improved because its UI is a bit difficult to navigate."
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Top Industries

By visitors reading reviews
No data available
Outsourcing Company
13%
Financial Services Firm
9%
Comms Service Provider
8%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Query.ai?
My experience with pricing, setup cost, and licensing was good. I felt the pricing is somewhat higher.
What needs improvement with Query.ai?
Probably Query.ai could be a little more optimized, but it is good.
What is your primary use case for Query.ai?
Initially, I started by checking out what Query.ai is about, and from there, my main use case has been for data queries and how to edit a query. The main use case for Query.ai that I wish it could ...
What is your experience regarding pricing and costs for Upwind?
The pricing, setup cost, and licensing process were pretty reasonable.
What needs improvement with Upwind?
I would appreciate more customizable dashboards and reporting for different teams, such as security operations, engineering, and leadership. The runtime context is excellent, but tailoring those vi...
What is your primary use case for Upwind?
My main use case for Upwind is cloud security and workload protection. I primarily use it to gain visibility into cloud assets, vulnerabilities, and runtime risks, and I mainly use it to prioritize...
 

Comparisons

 

Also Known As

No data available
Upwind Security Upwind Platform for AWS Security Hub, Upwind Security Upwind for AWS Security Hub Extended
 

Overview

 

Sample Customers

Information Not Available
StockX, Yotpo, bill, Digital Turbine, nanit, CallRail, boomi
Find out what your peers are saying about Query.ai vs. Upwind and other solutions. Updated: September 2026.
917,433 professionals have used our research since 2012.