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BigID Next vs IBM Data Governance comparison

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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 Governance
8th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
Data Loss Prevention (DLP) (12th), Data Privacy Management Software (1st), Data Security Posture Management (DSPM) (5th), AI Data Analysis (8th), Data Security Platforms (DSP) (1st)
IBM Data Governance
Ranking in Data Governance
34th
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2026, in the Data Governance category, the mindshare of BigID Next is 4.1%, down from 6.7% compared to the previous year. The mindshare of IBM Data Governance is 1.0%, down from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
BigID Next4.1%
IBM Data Governance1.0%
Other94.9%
Data Governance
 

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.
Murali B - PeerSpot reviewer
Associate Manager at a consultancy with 10,001+ employees
Provides a single interface to monitor and navigate data quality metrics
One area with room for improvement would be the ability to generate detailed quality reports. Some Python libraries provide quality scores and reports—having that capability within IBM Data Governance would be beneficial. We can see the pass/fail results, but getting additional percentage ratios would add significant value. My experience with IBM Data Governance has mostly been with the GUI. I've noticed some latency when accessing the portal. Also, automating reports can sometimes hang, though that might depend on the overall system. That's where I see the most room for improvement – quicker report generation. Fetching specific data from the IBM Data Governance repository tends to be slower compared to other vendors. For example, Collibra has a more responsive GUI. Retrieving large datasets from the IBM catalog is particularly slow.

Quotes from Members

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

Pros

"It provides a unified view across different databases and supports a wide range of data source types, including cloud and on-premises systems."
"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."
"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's scanning feature is its most valuable component."
"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."
"BigID is more advanced than Microsoft Purview when it comes to machine learning and AI development tools."
"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."
"IBM Data Governance improved data analytics operations. During a company merger, we used IBM Data Governance to understand and bridge sample data between systems."
 

Cons

"Improvement could be made in data consent management and data privacy impact assessment."
"One concern I have with BigID is regarding certain scans, like the multi-scan. The issue is that we can stop and retrieve these scans, but once they start, they go through an enumeration process."
"BigID needs improvement in terms of automation."
"There are some shortcomings when it comes to Calvirus authentication, which is not yet supported by BigID."
"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."
"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. That was one of the things that was really a disappointing point for me. Not to be able to view everything. There's a lot more data, but you can't get it all at once."
"One area where BigID can be improved is the UI, which has a lot of bugs."
"BigID is expensive. I prefer McAfee."
"One area with room for improvement would be the ability to generate detailed quality reports. Some Python libraries provide quality scores and reports—having that capability within IBM Data Governance would be beneficial."
 

Pricing and Cost Advice

"I think that BigID's pricing is very reasonable."
"The solution is expensive."
"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
18%
Manufacturing Company
11%
Insurance Company
7%
Comms Service Provider
7%
Comms Service Provider
14%
Financial Services Firm
12%
Retailer
7%
Insurance Company
6%
 

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...
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Overview

 

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments
TIAA CREF, Control Risks Group
Find out what your peers are saying about Collibra, Microsoft, Informatica and others in Data Governance. Updated: September 2026.
913,654 professionals have used our research since 2012.