

BigID Next and SAP Business Data Cloud are two distinct competitors in the data solutions market. While BigID focuses on data governance, SAP Analytics Cloud has an upper hand with its extensive capabilities in business intelligence and predictive analytics.
Features: BigID Next features advanced data discovery, in-depth scanning, and AI-driven data classification capabilities, making it highly effective for data privacy and compliance across various sectors. It supports a wide range of data types and sources, which is crucial for holistic data governance. SAP Business Data Cloud's strengths lie in predictive analytics, visualization, and machine learning, offering integrated planning and support for complex applications, making it suitable for advanced analytics and BI needs.
Room for Improvement: BigID could benefit from improving data consent management, API flexibility, and enhancing user navigation for a better user experience. It should also develop more effective classifiers and automation capabilities. SAP Business Data Cloud needs better connectivity with non-SAP systems, improved visualization features, and enhanced pricing strategies to cater to different business sizes, alongside improving scalability and user experience.
Ease of Deployment and Customer Service: BigID Next offers flexibility with private cloud and hybrid deployment options and strong technical support, though users have noted occasional delays and a structured escalation process. SAP Business Data Cloud provides public cloud deployment integrated with other SAP products. While generally reliable, some users have reported delay issues with customer support.
Pricing and ROI: BigID is priced as a premium solution based on capacity, making it expensive yet justifiable by its compliance features, providing good ROI through data management efficiencies. SAP Business Data Cloud, although costly for planning functionalities, is competitively priced for its analytics capabilities. Both offer value for money but cater to different market needs, with BigID more suitable for large enterprises with complex data governance needs, and SAP appealing to those leveraging broader SAP ecosystems.
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.
We have saved a lot on the number of employees, and implementation time for the projects has reduced significantly since we started using the standard features of SAP Business Data Cloud.
Once the content is available, then it is a faster go-live with lesser cost in implementation, and that would give an ROI.
It will definitely reduce the need for more staff to handle this technology.
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.
I would give the technical support for SAP Business Data Cloud a 10 out of 10.
On a scale from 0 to 10, I would rate their support 10 out of 10.
The technical support is a very well-organized service, with a lot of tools for me as a consultant and for the end user on how to contact SAP support and get issues solved.
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.
The scalability of SAP Business Data Cloud has been strong, as it has handled growth in data volume, user demand, and reporting requirements without significant performance issues.
It meets the needs of organizations requiring cloud-native architecture, support for large-scale SAP and non-SAP integrations, elastic compute and storage capabilities, and enterprise-grade governance.
SAP Analytics Cloud can be used by a small company, and it can be used by a large corporate.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
You have a chance to test it on your test tenant in small increments, so it should not break your productive reports and productive environment.
It has been reliable for reporting, analytics, and data integration activities.
This really allowed virtual access to data, which means there was no heavy replication of data involved, greatly improving performance.
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.
On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family.
If SAP can come up with innovative options to reduce licensing costs, many customers would incline toward SAP Business Data Cloud.
If I compare the cost with SAP competitors, I find that when creating an enterprise data lake, if I don't use SAP Business Data Cloud and make it directly in the hyperscalers, it is pretty much cheaper than doing the same in SAP Business Data Cloud.
BigID might be expensive as it involves various paid services, like data retention and graphic rights management.
The pricing is competitive in the market, however, I need to ask for the right price.
If I compare the cost with SAP competitors, I find that when creating an enterprise data lake, if I don't use SAP Business Data Cloud and make it directly in the hyperscalers, it is pretty much cheaper than doing the same in SAP Business Data Cloud.
From a planning license perspective, SAC on that side is very expensive if you need developer features.
SAP Business Data Cloud is at a disadvantage when compared to tools like Talend or Informatica, which are cheaper and more capable.
One of the best features of BigID is its strength in data discovery and governance.
BigID simplifies things by integrating both data protection and data privacy in one environment, making it easier for end users.
The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers.
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
SAP Business Data Cloud has positively impacted my organization by federating SAP data, which is now available for all to use.
The main standout feature is BDC Connect, as it is very useful for sharing data without replicating to third-party tools such as Enterprise Databricks, Snowflake or even in the near future, Google BigQuery as well as Microsoft Fabric.
| Product | Mindshare (%) |
|---|---|
| SAP Business Data Cloud | 0.6% |
| BigID Next | 4.2% |
| Other | 95.2% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 47 |
| Midsize Enterprise | 21 |
| Large Enterprise | 77 |
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?
What benefits should users look for?
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.
SAP Business Data Cloud (SAP BDC) is a unified, intelligent data platform — part of the SAP Business AI Platform — that governs SAP and third-party data through a business data fabric. As an evolution of our industry-leading data, analytics and planning solutions, Business Data Cloud brings together Datasphere, Analytics Cloud, and Business Warehouse with a unified experience that delivers transformational insights across all lines of business. By harmonizing mission-critical data with the business processes and logic that give it meaning, SAP BDC delivers a trusted foundation for analytics and AI, empowering data teams and business leaders to make faster, more confident decisions.
What are the most important features of SAP Business Data Cloud?
What benefits or ROI should users look for in SAP Business Data Cloud?
SAP Business Data Cloud is a key component of SAP's vision for the autonomous enterprise. By unifying data connectivity, governance, semantic modeling, and analytics in a single cloud-native platform, SAP BDC eliminates fragmentation and complexity — serving as the connective tissue that ties your entire enterprise together and positioning organizations for long-term success in an AI-driven world.
We monitor all Data Governance reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.