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BigID vs Microsoft Purview Information Protection comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 3, 2024

Review summaries and opinions

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

ROI

Sentiment score
8.0
BigID provides a strong ROI by ensuring compliance, efficient data management, and superior API integration, avoiding penalties.
Sentiment score
8.1
Microsoft Purview Information Protection enhances security, ensures compliance, reduces costs, and improves efficiency by automating data protection and governance.
Purview can do a quick scan, and it doesn't use human resources, so it gets time to do things that we need humans to focus on.
The cost of data loss and your data going to a competitor is potentially massive.
Customers have seen a return on investment through quicker issue detection and cost savings due to automation.
 

Customer Service

Sentiment score
8.0
BigID's customer service is supportive and responsive, offering efficient technical assistance, though occasionally delayed or limited in scope.
Sentiment score
5.3
Users report mixed customer service experiences with Microsoft Purview, noting slow response times and inadequate communication despite some improvements.
Professional service provides early and efficient support.
Sometimes, I get a fast and knowledgeable response, while other times, I've experienced delays and received no resolution.
It's hard to be an ambassador for a product when you know it will be hard to get support.
We generally receive good support from Microsoft for this solution.
 

Scalability Issues

Sentiment score
6.7
BigID is popular for scalability but requires extra effort and tools, with varying performance and some adoption limitations.
Sentiment score
7.3
Microsoft Purview Information Protection is scalable for large workloads, but speed and policy update intervals could be improved.
It can be scaled across different departments organization-wide very quickly and easily.
It can handle large collections of data without issues.
Scalability can be improved by reducing these intervals.
 

Stability Issues

Sentiment score
7.4
BigID is valued for its stability, leadership, user-friendly interface, and effective training, despite occasional scan visibility issues.
Sentiment score
7.4
Purview remains reliable and stable, performing well at scale with minor issues and continuous upgrades through its SaaS model.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
Once implemented, I haven't had issues with its consistency.
The solution is stable overall.
 

Room For Improvement

BigID struggles with file viewing, security, reliability, regional classifiers, consent management, cost, and centralized access limitations.
Microsoft Purview Information Protection needs enhancements in integration, affordability, reporting, AI, feature reintroduction, and comprehensive data protection.
There is also an issue with incident tagging, where all objects get tagged without an option to untag specific ones, and reverting changes is only possible through MongoDB Central, which can lead to data loss for certain periods.
Having a roadmap or updates about new releases would be helpful for demonstrating to clients.
Clarifying product features and use cases would help avoid such confusion.
Purview could better integrate with third-party tools.
 

Setup Cost

BigID offers modular pricing based on features, making it cost-effective for large enterprises but less suitable for small businesses.
Microsoft Purview Information Protection offers competitive pricing, attractive bundling, and flexible licensing options, appealing to enterprise buyers.
BigID might be expensive as it involves various paid services, like data retention and graphic rights management.
I talked to people who had compared it to other products on the market, and they're spending five figures to get started.
Our focus is on helping customers maximize their software investment.
The pricing is not very high and is considered fine.
 

Valuable Features

BigID provides powerful data discovery, classification, and governance features, enhancing compliance and security across diverse data sources.
Microsoft Purview excels in data protection with encryption, labeling, cross-platform security, and seamless integration, enhancing compliance and efficiency.
The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers.
Microsoft Copilot is an advantage because it's enterprise-grade AI.
It's paramount to have a single solution for information protection.
Regardless of the education, the employee might share the information anyway, so the AI shouldn't be the first point of failure. It should be a human making good decisions.
 

Categories and Ranking

BigID
Ranking in Data Governance
8th
Ranking in Data Privacy Management Software
3rd
Average Rating
8.2
Reviews Sentiment
7.3
Number of Reviews
11
Ranking in other categories
Data Security Posture Management (DSPM) (7th)
Microsoft Purview Informati...
Ranking in Data Governance
5th
Ranking in Data Privacy Management Software
1st
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
12
Ranking in other categories
Microsoft Security Suite (15th)
 

Mindshare comparison

As of February 2025, in the Data Governance category, the mindshare of BigID is 7.0%, up from 4.9% compared to the previous year. The mindshare of Microsoft Purview Information Protection is 2.6%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance
 

Featured Reviews

Scott Margolis - PeerSpot reviewer
Commendable and robust data-centric tool
The initial setup is complex. There's a nuance to it, and that's one of the things that's been interesting as the technologies evolve. It's not complex in and of itself. You can install it quickly and attach data quickly. The complexity arises because most organizations I've worked with are thinking about their data for the first time. So, while installing the software and operationalizing it is easy, the onboarding and understanding of the data, design, legacy systems, and everything from Oracle to side-based to MS Access, that's where it gets tricky. They need to catalog, correlate, combine, rationalize, and really think through it all. So, the software itself is easy to implement and operate. But the operational side, from the client's perspective, requires a commitment. It's like buying a circular saw and expecting to build a house. The tool will take you some of the way, but if you don't have the underlying knowledge, you're going to struggle.
Heidi Hasting - PeerSpot reviewer
Provides an essential audit trail that helps prevent accidental exposure of sensitive data, but the changing product names are confusing
One of the key features of Microsoft Purview Information Protection is the auto-classification functionalities, although I have found them to be less effective in complex scenarios. The policy toggle, demanding justification for downgrading labels, provides an essential audit trail that helps prevent accidental exposure of sensitive data. The security tools integrate well. I like that you can scan several data or informational assets, such as your SharePoint list, Teams, etc., and bring them into Purview as a central repository. Partnering with other products, like Sentinel, for logging capability and inventory provides a service across the board. It's essential that Purview automatically prevents highly sensitive corporate secrets and data from being ingested into generative AI models, but the reality is that AI is a tool. It's problematic if consumers rely on a tool to protect them because they must be educated first. Regardless of the education, the employee might share the information anyway, so the AI shouldn't be the first point of failure. It should be a human making good decisions.
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Top Industries

By visitors reading reviews
Financial Services Firm
26%
Computer Software Company
10%
Insurance Company
7%
Manufacturing Company
7%
Financial Services Firm
20%
Computer Software Company
12%
Retailer
7%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
BigID needs improvement in terms of automation. Its automation capabilities are limited compared to Purview. While BigID can generate outcomes, it is not adept at automating business processes, whi...
What is your primary use case for BigID?
I have used BigID to scan for data discovery, data protection, analyze where the data is found, data classification, and data mapping. I integrated BigID with Microsoft Purview to expand the scope ...
What do you like most about Microsoft Purview Information Protection?
It ensures that sensitive data is automatically safeguarded, even for email attachments, regardless of the user or device.
What is your experience regarding pricing and costs for Microsoft Purview Information Protection?
Initially, Purview's cost seemed quite high because it was for personal use. I was scanning a tiny tenant and thinking, "If I extrapolate this to an enterprise-scale tenant, it will be quite costly...
What needs improvement with Microsoft Purview Information Protection?
The communication around Microsoft product names and functionalities can be confusing, like when they combined Office 365 Risk and Compliance with Azure Purview. Then, they added Purview Hub to Fab...
 

Also Known As

No data available
Microsoft Information Protection
 

Overview

 

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments
Information Not Available
Find out what your peers are saying about BigID vs. Microsoft Purview Information Protection and other solutions. Updated: January 2025.
838,640 professionals have used our research since 2012.