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BigID Next vs Query.ai comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 22, 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

BigID Next
Ranking in AI Data Analysis
3rd
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
Data Loss Prevention (DLP) (8th), Data Governance (4th), Data Privacy Management Software (1st), Data Security Posture Management (DSPM) (4th)
Query.ai
Ranking in AI Data Analysis
23rd
Average Rating
8.0
Reviews Sentiment
4.3
Number of Reviews
3
Ranking in other categories
Security Analytics (6th), AI Security (119th)
 

Mindshare comparison

As of May 2026, in the AI Data Analysis category, the mindshare of BigID Next is 0.9%, down from 20.7% compared to the previous year. The mindshare of Query.ai is 0.5%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
BigID Next0.9%
Query.ai0.5%
Other98.6%
AI Data Analysis
 

Featured Reviews

Aniruddha Nath - PeerSpot reviewer
Senior Security Consultant at a consultancy with 10,001+ employees
Data discovery has transformed compliance workflows and automation now speeds up requests and remediation
The best feature that BigID offers is data discovery and classification, which is the most powerful engine. It allows connecting to many different data sources, ranging from cloud to on-premises to structured to unstructured data. If there is no connector available, you can build your own classifiers as well. Regarding the custom classifier option, you can build custom classifiers using regular expressions, and I have done that if you know how to create regular expressions. Custom connectors are something you create to connect to a database where the connector is not available. BigID has positively impacted my organization as it's a very powerful tool, especially with the increasing regulatory compliances for different countries such as GDPR, CCPA, and India's recent DPDPA act. Having these tools in place greatly helps organizations avoid any penal charges for not being compliant with the regulatory compliances. For example, regarding compliance or reduced risks for my clients, the DSAR process I was talking about allows organizations to respond quickly to user data deletion requests under GDPR law, which traditionally has a 30-day or 60-day timeline. In larger organizations, when the number of requests is high, it becomes tedious. However, using DSAR automation with BigID, it's almost instantaneous; instead of 30 days, you can respond in just one day to what users have requested.
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.

Quotes from Members

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

Pros

"The features that I have found most valuable are the user experience, the credentialing, and that BigID is user friendly. Additionally, you can deploy to several other Microsoft platforms and you can use it for other things, like a bigger element or a report."
"BigID offers different scan types for data discovery. The most powerful one is the full scan, which scans both data and metadata. However, the metadata scan is faster in comparison."
"BigID integrates well with our other products."
"BigID's scanning feature is its most valuable component."
"My experience with BigID has been very positive and memorable, as BigID is simple, straightforward, and reliable when it comes to data discovery and data scanning exercises."
"The tool's most valuable feature is correlation. Using BigID's data classification capabilities has strengthened our data security. It lets me classify and connect data, which helps me manage data at various classification levels."
"It provides a unified view across different databases and supports a wide range of data source types, including cloud and on-premises systems."
"The best feature that BigID offers is data discovery and classification, which is the most powerful engine, allowing connection to many different data sources ranging from cloud to on-premises and from structured to unstructured data, with the ability to build your own classifiers if no connector is available."
"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."
 

Cons

"One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur."
"I want them to focus on data mapping, assessment, automation workflow, and privacy incident management. The privacy tools have not been widely used, and they have not invested much in privacy code privacy tools."
"BigID is making some forays into the GRC space, and that's a natural progression. I'd like to see that improve so that data governance is better, data risk is identified, and the ability to control and mitigate it."
"BigID needs improvement in terms of automation."
"Improvement could be made in data consent management and data privacy impact assessment."
"BigID's user interface was problematic as it was not very user-friendly, though I believe it improved over time."
"There are some shortcomings when it comes to Calvirus authentication, which is not yet supported by BigID."
"In terms of what could be improved, when you're looking in a BigID file, you cannot really get the whole file. You have to export it to download it to another platform that allows you to completely view it, or run a program."
"I felt the pricing is somewhat higher."
"Probably Query.ai could be a little more optimized, but it is good."
"Query.ai performs well, but there are other software options that do auditing a little better."
 

Pricing and Cost Advice

"The pricing depends. If you have thousands of data sources to connect and manage, and you struggled with an MDM package in the past, you'll find BigID valuable and even cheap. But if you're a small business, it's probably not the right tool for you."
"The solution is expensive."
"I think that BigID's pricing is very reasonable."
"The solution is not licensed per user but rather based on capacity. For instance, organizations with large amounts of data, such as 50 GB or more, are the ones that typically qualify for BigID."
"The product is expensive, but so are all competitor tools"
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
8%
Insurance Company
8%
Comms Service Provider
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Large Enterprise11
No data available
 

Questions from the Community

What do you like most about BigID?
I like BigID's in-depth discovery and scanning capabilities, especially for unstructured data. This feature is a standout compared to competitors. The tool's data classification capabilities are i...
What needs improvement with BigID?
One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur. I think the BigID team is aware of this and works on resolving iss...
What is your primary use case for BigID?
BigID's main use case is connecting to various data sources to perform the data discovery process, classify the data within those systems, and identify sensitive information across various structur...
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?
I think integrating some LLM would be good because nowadays AI has a very huge impact. Additionally, I think it would be good if you add Amazon QuickSight for the reporting functionality.
What is your primary use case for Query.ai?
My main use case for Query.ai is connecting to data lakes and data marts using Amazon S3. I have been connecting my data to Query.ai data lakes and data marts while doing some transformation, creat...
 

Comparisons

No data available
 

Overview

 

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments
Information Not Available
Find out what your peers are saying about BigID Next vs. Query.ai and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.