

IBM SPSS Statistics and BigID Next compete in data analysis and data governance categories, respectively. IBM SPSS Statistics has the upper hand for statistical analysis due to its robust modeling techniques, whereas BigID Next excels in data governance with advanced scanning and classification capabilities that aid compliance.
Features: IBM SPSS Statistics offers regression models and decision trees for complex quantitative analysis and a user-friendly interface. BigID Next is valuable for its structured and unstructured data classification, advanced data discovery, and comprehensive view of data.
Room for Improvement: IBM SPSS Statistics could improve data visualization, cost, and integration with other tools. BigID Next needs enhancements in data handling accuracy, bug fixes in its interface, and improved automation.
Ease of Deployment and Customer Service: IBM SPSS Statistics is primarily on-premises, offering flexibility but lacking cloud scalability, with robust yet sometimes delayed technical support. BigID Next has more cloud deployment options, relying on online and local support, but struggles with complex issues.
Pricing and ROI: IBM SPSS Statistics is often considered expensive, but its comprehensive analytics justify the cost, leading to significant ROI. BigID Next’s modular pricing is cost-effective for specific industries, despite its high price, offering good ROI for extensive data needs.
We have seen returns across all three aspects: fewer employees needed, money saved, and time saved with BigID.
It is one of the best tools in the market.
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.
Even when I faced issues within the BigID environment, such as unsuccessful connections or new errors, the BigID team resolved them.
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.
BigID has one of the best technical support teams.
I have added very large data sources to the BigID environment, and it remains stable.
BigID is scalable, allowing you to purchase as many scanners as you want.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
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.
I want them to focus on data mapping, assessment, automation workflow, and privacy incident management.
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.
I believe that the owners of IBM SPSS Statistics should think about improving the package itself to be able to treat unstructured data.
I'm unsure if SPSS has a commercial offering for big servers, unlike KNIME, which does.
The pricing is competitive in the market, however, I need to ask for the right price.
BigID might be expensive as it involves various paid services, like data retention and graphic rights management.
BigID simplifies things by integrating both data protection and data privacy in one environment, making it easier for end users.
One of the best features of BigID is its strength in data discovery and governance.
The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers.
Predictive analytics is the most important part of analytics.
I mainly used it for cross tabs, correlation, regression, chi-squared tests, and similar analyses often seen in published papers.
| Product | Market Share (%) |
|---|---|
| BigID | 2.7% |
| IBM SPSS Statistics | 0.5% |
| Other | 96.8% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 6 |
| Large Enterprise | 20 |
BigID Next offers advanced data discovery, classification, and governance tools, streamlining compliance with privacy laws while integrating seamlessly with Microsoft platforms.
BigID Next provides comprehensive data management through machine learning-enhanced capabilities, supporting data discovery and classification for both structured and unstructured data. By simplifying processes for GDPR and CCPA compliance, and facilitating data scanning and mapping across databases, it optimizes data management. Automation is central to its design, with solutions for DSAR requests, organizing data with security labels, and ensuring a holistic organizational data view. Improvements in navigation, bug fixes, and scan reliability remain essential, along with enhancing classifiers for broader region coverage.
What features does BigID Next offer?BigID Next is commonly implemented in industries needing robust data governance, such as finance and healthcare, where data privacy and compliance with regulations are critical. It aids in scanning and classifying extensive data volumes, helping businesses maintain regulatory compliance while managing data risks effectively.
IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.
IBM SPSS Statistics Benefits
Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:
IBM SPSS Statistics Features
Reviews from Real Users
IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.
An Emeritus Professor of Health Services Research at a university writes, "The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can in a multidimensional setup space. It's the multidimensional space facility that is most useful."
A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”
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