

SAS Data Management and BigID Next compete in the data management and governance category. SAS Data Management appears to have an edge in data integration and user friendliness for job creation, while BigID Next stands out in data discovery and regulatory compliance capabilities.
Features: SAS Data Management offers capabilities in data standardization, transformation, and verification. It provides comprehensive data management functionalities such as ETL processes, data integration, and cloud compatibility. Additionally, its interface facilitates easy job creation for both technical and non-technical users. BigID Next excels in data discovery and governance, offering robust cataloging and classification for structured and unstructured data. It is particularly effective in identifying and managing sensitive information, which is crucial for regulatory compliance and data privacy.
Room for Improvement: SAS Data Management could improve in areas like cost management, licensing flexibility, and better documentation. Users have pointed to complexities in installation and database connectivity. BigID Next could enhance its security features, improve scan reliability, and refine its user interface. Users have also highlighted the need for improved data connection configurations and more comprehensive support for GRC features.
Ease of Deployment and Customer Service: SAS Data Management supports primarily on-premises deployments with hybrid cloud options, and its customer service is seen as variable with areas for improvement, especially in technical support. BigID Next offers flexible deployment options across private, public, and hybrid cloud environments and generally receives high marks for customer service, though its centralized access model might require adjustments for specific deployments.
Pricing and ROI: SAS Data Management is viewed as costly but offers a substantial ROI for large organizations with complex data needs, despite being a barrier for smaller enterprises. BigID Next, though premium-priced, provides modular purchasing options that can be more cost-effective for organizations with extensive data sources. Its value in data discovery and compliance contributes to its perception of high cost aligned with its robust feature set.
It is one of the best tools in the market.
We have seen returns across all three aspects: fewer employees needed, money saved, and time saved with BigID.
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.
BigID has one of the best technical support teams.
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.
developing the custom connectors was relatively easy because of the courses I attended at BigID University and the support given by the BigID engineering team.
The support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.
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.
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
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.
From my experience, SAS Data Management is an expensive tool.
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.
The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS.
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
| Product | Market Share (%) |
|---|---|
| BigID Next | 5.3% |
| SAS Data Management | 1.5% |
| Other | 93.2% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 1 |
| Large Enterprise | 8 |
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.
Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.
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