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BigID Next vs OneTrust Privacy 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 Data Privacy Management Software
1st
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
Data Loss Prevention (DLP) (12th), Data Governance (7th), Data Security Posture Management (DSPM) (6th), AI Data Analysis (10th)
OneTrust Privacy
Ranking in Data Privacy Management Software
4th
Average Rating
7.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Data Privacy Management Software category, the mindshare of BigID Next is 11.0%, down from 18.4% compared to the previous year. The mindshare of OneTrust Privacy is 13.9%, down from 19.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Privacy Management Software Mindshare Distribution
ProductMindshare (%)
BigID Next11.0%
OneTrust Privacy13.9%
Other75.1%
Data Privacy Management Software
 

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.
reviewer2809788 - PeerSpot reviewer
Senior Associate at a tech vendor with 10,001+ employees
Workflow automation has streamlined privacy assessments but data discovery still needs improvement
OneTrust Privacy can improve in the area of data discovery and classification. While it is capable in terms of assessments and similar tasks, there is room for improvement when it comes to connecting to different data sources. I suggest that there is an area for improvement in terms of customer support. Having a direct communication channel for partners without needing ticketing would be helpful.

Quotes from Members

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

Pros

"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's scanning feature is its most valuable component."
"Although I was serving the client rather than my own organization, BigID has made scans faster and more efficient, and the DSR results are much more accurate."
"BigID has one of the best technical support teams."
"It provides a unified view across different databases and supports a wide range of data source types, including cloud and on-premises systems."
"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 impressive. It offers custom classifiers and a blend of regular exploration and artificial intelligence, making it a next-generation solution. This enhances data security, and its security posture management is straightforward and user-friendly."
"BigID is more advanced than Microsoft Purview when it comes to machine learning and AI development tools."
"The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers."
"OneTrust Privacy has positively impacted my organization by enabling us to implement different clients' data privacy programs successfully, and it is a very helpful tool for that purpose."
 

Cons

"One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur."
"BigID needs improvement in terms of automation."
"More classifications about different states are needed"
"One area where BigID can be improved is the UI, which has a lot of bugs."
"The tool currently lacks security features."
"Improvement could be made in data consent management and data privacy impact assessment."
"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's user interface was problematic as it was not very user-friendly, though I believe it improved over time."
"OneTrust Privacy can improve in the area of data discovery and classification. While it is capable in terms of assessments and similar tasks, there is room for improvement when it comes to connecting to different data sources."
 

Pricing and Cost Advice

"The solution is expensive."
"I think that BigID's pricing is very reasonable."
"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 product is expensive, but so are all competitor tools"
"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."
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%
Financial Services Firm
11%
Healthcare Company
9%
Manufacturing Company
8%
Insurance Company
7%
 

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 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 advice do you have for others considering BigID?
I have covered information regarding data scanning, data classification, and the DSAR module, as these are the parts I have worked on, apart from developing custom connectors for a few data sources...
What is your experience regarding pricing and costs for OneTrust Privacy?
My experience with pricing, setup cost, and licensing indicates that OneTrust Privacy is a costly tool. The setup and everything are mostly done by the vendor side.
What needs improvement with OneTrust Privacy?
OneTrust Privacy can improve in the area of data discovery and classification. While it is capable in terms of assessments and similar tasks, there is room for improvement when it comes to connecti...
What is your primary use case for OneTrust Privacy?
My main use case for OneTrust Privacy involves conducting PIAs, DPIA assessments, cookie consent integrations, web form integrations, incident management, data discovery, and data classification. F...
 

Overview

 

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments
Information Not Available