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BigID Next vs IBM SPSS Statistics 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:
 

ROI

Sentiment score
7.3
BigID Next offers strong ROI through compliance, data management integration, cost savings, automation, and reduced staffing, avoiding fines.
Sentiment score
5.0
IBM SPSS Statistics delivers 50% ROI with its user-friendly interface, saving time and costs for diverse organizations.
We have seen returns across all three aspects: fewer employees needed, money saved, and time saved with BigID.
Senior Security Consultant at a consultancy with 10,001+ employees
It is one of the best tools in the market.
Senior Manager at KPMG
I have seen a return on investment from using BigID, particularly as it is a regulatory and compliance tool that helps avoid potential penalties for non-compliance.
Senior Security Consultant at a consultancy with 10,001+ employees
 

Customer Service

Sentiment score
6.5
BigID Next's support is praised for responsiveness, efficiency, and high customer satisfaction, despite occasional delays and time-consuming initial contact.
Sentiment score
6.1
IBM SPSS Statistics offers variable customer support quality, with multiple help channels, but some users experience delays in response.
Even when I faced issues within the BigID environment, such as unsuccessful connections or new errors, the BigID team resolved them.
Senior Security Consultant at a consultancy with 10,001+ employees
I would rate the customer support a six because you cannot directly reach out to L3 or L2 support if there's a major issue.
Senior Security Consultant at a consultancy with 10,001+ employees
BigID has one of the best technical support teams.
Senior Manager at KPMG
 

Scalability Issues

Sentiment score
6.7
BigID Next is scalable with mixed opinions, excelling in large environments but facing data handling and presentation challenges.
Sentiment score
6.1
IBM SPSS Statistics handles moderate data efficiently, though limitations exist for large datasets, with scalability impacted by resources and licensing.
I have added very large data sources to the BigID environment, and it remains stable.
Senior Security Consultant at a consultancy with 10,001+ employees
BigID is scalable, allowing you to purchase as many scanners as you want.
Senior Security Consultant at a consultancy with 10,001+ employees
 

Stability Issues

Sentiment score
7.5
BigID Next is often seen as reliable with some stability concerns but praised for data security and ease of use.
Sentiment score
7.4
IBM SPSS Statistics is reliable and stable, performing well under moderate data loads, with occasional issues in newer versions.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
Senior Associate - IT Governance and Compliance at Fulcrum Digital Inc
 

Room For Improvement

BigID Next needs enhancements in file access, security, automation, UI navigation, deployment, data governance, and support features.
IBM SPSS Statistics needs improved visualization, integration, user interface, documentation, pricing, and licensing to meet user demands effectively.
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.
Senior Associate - IT Governance and Compliance at Fulcrum Digital Inc
I want them to focus on data mapping, assessment, automation workflow, and privacy incident management.
Senior Manager at KPMG
BigID deserves recognition for the data discovery part, which has been wonderful and quite accurate, along with the confidence level process that allows us to fine-tune results for better accuracy from the database.
Assistant Manager - Cyber : Digital Privacy and Trust at Deloitte
I believe that the owners of IBM SPSS Statistics should think about improving the package itself to be able to treat unstructured data.
Associate Professor Of Statistics at a university with 10,001+ employees
I'm unsure if SPSS has a commercial offering for big servers, unlike KNIME, which does.
Emeritus Professor of Health Services Research at University of South Wales
 

Setup Cost

BigID Next offers premium, capacity-based pricing; valued by large enterprises for advanced features, less feasible for smaller businesses.
IBM SPSS Statistics is costly but justified by comprehensive features, with pricing concerns and special deals for universities noted.
The pricing is competitive in the market, however, I need to ask for the right price.
Senior Manager at KPMG
BigID might be expensive as it involves various paid services, like data retention and graphic rights management.
Senior Associate - IT Governance and Compliance at Fulcrum Digital Inc
 

Valuable Features

BigID Next offers a user-friendly design, seamless Microsoft integration, and powerful data discovery, classification, and protection capabilities.
IBM SPSS Statistics provides comprehensive statistical analysis, modeling, and data handling, featuring user-friendly interface and Python integration.
BigID simplifies things by integrating both data protection and data privacy in one environment, making it easier for end users.
Senior Security Consultant at a consultancy with 10,001+ employees
One of the best features of BigID is its strength in data discovery and governance.
Senior Manager at KPMG
The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers.
Senior Associate - IT Governance and Compliance at Fulcrum Digital Inc
Predictive analytics is the most important part of analytics.
Associate Professor Of Statistics at a university with 10,001+ employees
I mainly used it for cross tabs, correlation, regression, chi-squared tests, and similar analyses often seen in published papers.
Emeritus Professor of Health Services Research at University of South Wales
 

Categories and Ranking

BigID Next
Ranking in AI Data Analysis
2nd
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
Data Loss Prevention (DLP) (7th), Data Governance (6th), Data Privacy Management Software (2nd), Data Security Posture Management (DSPM) (4th)
IBM SPSS Statistics
Ranking in AI Data Analysis
13th
Average Rating
8.2
Reviews Sentiment
6.4
Number of Reviews
40
Ranking in other categories
Data Mining (2nd), Data Science Platforms (9th), AI Research (1st)
 

Mindshare comparison

As of January 2026, in the AI Data Analysis category, the mindshare of BigID Next is 2.7%, down from 16.7% compared to the previous year. The mindshare of IBM SPSS Statistics is 0.5%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Market Share Distribution
ProductMarket Share (%)
BigID2.7%
IBM SPSS Statistics0.5%
Other96.8%
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.
EzzAbdelfattah - PeerSpot reviewer
Associate Professor Of Statistics at a university with 10,001+ employees
Advanced predictive analytics have supported my research and student projects across many methods
The only function I may need to be added or hope to be added to IBM SPSS Statistics is how to treat unstructured data. This mainly exists with IBM SPSS Modeler, but I do not think it is able to treat something like videos and similar content unless you are using languages like Python inside IBM SPSS Modeler or inside IBM SPSS Statistics. For the menu itself, for the selection, it does not exist. Thinking of the future, I believe that the owners of IBM SPSS Statistics should think about improving the package itself to be able to treat unstructured data.
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Insurance Company
9%
Computer Software Company
8%
Manufacturing Company
6%
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
8%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Large Enterprise11
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise6
Large Enterprise20
 

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 do you like most about IBM SPSS Statistics?
The software offers consistency across multiple research projects helping us with predictive analytics capabilities.
What is your experience regarding pricing and costs for IBM SPSS Statistics?
I think the price of the solution is very reasonable. The cost depends; you have the option for subscription or you can purchase the license. Most of our customers are paying every year for a type ...
What needs improvement with IBM SPSS Statistics?
I have faced some challenges with IBM SPSS Statistics; you need to know what you're doing because it's not very user-friendly. It's not something a person can come and intuitively work with. The ba...
 

Also Known As

No data available
SPSS Statistics
 

Overview

 

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments
LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
Find out what your peers are saying about BigID Next vs. IBM SPSS Statistics and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.