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BigID Next vs SAS Viya Platform 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 Governance
4th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
Data Loss Prevention (DLP) (8th), Data Privacy Management Software (1st), Data Security Posture Management (DSPM) (4th), AI Data Analysis (3rd)
SAS Viya Platform
Ranking in Data Governance
30th
Average Rating
8.4
Reviews Sentiment
5.4
Number of Reviews
9
Ranking in other categories
Data Integration (46th), Data Quality (21st), Data Management Platforms (DMP) (8th)
 

Mindshare comparison

As of May 2026, in the Data Governance category, the mindshare of BigID Next is 4.9%, down from 7.4% compared to the previous year. The mindshare of SAS Viya Platform is 0.4%. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
BigID Next4.9%
SAS Viya Platform0.4%
Other94.7%
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.
KK
Assistant Manager Data Analytics (WFM) at Johari Digital Healthcare Limited
Modern analytics has transformed large data into faster insights and streamlined reporting
There are some areas of improvement I would mention regarding SAS Viya Platform. New users may find it complex initially, as its learning curve can be steep. Understanding CAS and different components is very challenging for a new user. The cost is also quite high; SAS Viya Platform via SaaS can be expensive compared to some open-source or other cloud alternatives. There are also some limitations in Visual Analytics. While it is easy to use, it could be more flexible compared to Power BI or Tableau. These are the main improvement areas where SAS Viya Platform should focus. I would add some additional pointers about needed improvements in SAS Viya Platform. Regarding customer support, it is good, but the response time for complex issues can sometimes be slower than expected. The documentation and learning resources are not very beginner-friendly, making it challenging for beginners to navigate. Regarding integration, it could be smoother with Databricks, Snowflake, and Power BI, but it is more complex than it should be. Since updates are automatic, users are sometimes not fully aware of changes or new features that are being updated, as compared to Power BI, which publishes updates on its website. SAS Viya Platform should work on these aspects.

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."
"The features that I have found most valuable are the user experience, the credentialing, and that BigID is user friendly."
"BigID integrates well with our other products."
"The features that I have found most valuable are the user experience, the credentialing, and that BigID is user friendly. Additionally, you can deploy to several other Microsoft platforms and you can use it for other things, like a bigger element or a report."
"The data classification offered by the tool can help companies improve their security strategy"
"The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers."
"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."
"One of the most valuable things in a data-focused world is a tool, a technology that's data-centric, not trying to master data management or whatever else. It's a source of truth for what data an organization holds, giving it the ability to catalog, categorize, and understand its data."
"Eliminating the need for separate visualization tools has greatly affected my team's workflow because it is just one integrated tool, one integrated platform."
"Using SAS Viya Platform allows my organization to conduct advanced statistical tests, present data in better ways with efficient and good graphical representation, and this helps my company grow more."
"SAS Viya Platform has positively impacted my organization by saving time compared to when we were using SAS 9.4, as we can now work on two to three projects simultaneously within one hour, which is a significant improvement."
"Since starting to work with SAS Viya Platform, the positive impact we have seen includes improvements in distributing data sets for better analytics and machine learning."
"SAS Viya Platform is a great tool for our data analytics purpose, particularly how data profiling stands out compared to other tools impressed me."
"Using SAS Viya Platform, I saw approximately a thirty to forty percent reduction in data processing time due to CAS in-memory computing, and I also reduced manual reporting efforts by approximately forty to fifty percent through automation and self-service dashboards, which definitely saved resources for my organization."
"In my experience, the best feature of SAS Viya Platform is that it is very quick in doing the analysis, does the job very quickly and very well without any issues, and I was able to do multiple analyses at the same time."
"SAS Viya Platform is a very advanced platform at the current time, and I recommend using SAS Viya Platform for all data visualization, data analysis, and statistical analysis."
 

Cons

"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."
"One area where BigID can be improved is the UI, which has a lot of bugs."
"There are some shortcomings when it comes to Calvirus authentication, which is not yet supported by BigID."
"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."
"There are some shortcomings when it comes to Calvirus authentication, which is not yet supported by BigID."
"The challenge we encountered was with data connection across multiple databases. We struggled with configuring the data connection successfully. However, with the assistance of dynamic teams, we resolved this issue."
"Improvement could be made in data consent management and data privacy impact assessment."
"The tool currently lacks security features."
"SAS Viya Platform has a bit of a learning curve. It was not easy to start with."
"The cost is also quite high; SAS Viya Platform via SaaS can be expensive compared to some open-source or other cloud alternatives."
"I have one complaint about SAS Viya Platform: it offers so many options in each application that someone new who is not familiar with SAS functionality might have trouble, as the learning curve can be very hard for a new learner."
"On the SAS compute server, the platform sometimes gets stuck or lags, which could be improved in SAS Viya Platform."
"I sometimes experienced downtime with SAS Viya Platform, but the SAS support team helped."
"I rate it a nine because for a fresher, the platform might not be entirely intuitive."
"I think SAS Viya Platform could be improved as it is a little bit limited; for instance, you have to purchase specific features such as charts and quality control, so it is not a full analytics product."
"I would advise others looking into using SAS Viya Platform to go ahead if their budget allows."
 

Pricing and Cost Advice

"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 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."
"I think that BigID's pricing is very reasonable."
"The product is expensive, but so are all competitor tools"
"The solution is expensive."
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%
Construction Company
31%
Manufacturing Company
11%
Healthcare Company
11%
Comms Service Provider
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Large Enterprise11
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise5
Large Enterprise3
 

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 is your experience regarding pricing and costs for SAS Viya Platform?
My experience with pricing, setup cost, and licensing for SAS Viya Platform was smooth. I did not have any hiccups, and I do not have a say on the pricing.
What needs improvement with SAS Viya Platform?
There are some areas of improvement I would mention regarding SAS Viya Platform. New users may find it complex initially, as its learning curve can be steep. Understanding CAS and different compone...
What is your primary use case for SAS Viya Platform?
My main use cases are data analytics, reporting, and data transformation. It helps in handling large data sets efficiently using CAS, which is an in-memory processing engine. My primary use case is...
 

Overview

 

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments
Information Not Available
Find out what your peers are saying about BigID Next vs. SAS Viya Platform and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.