

BigID Next and erwin Data Intelligence are competing in the field of data management solutions. BigID Next seems to have the upper hand in data discovery and classification, while erwin Data Intelligence excels in metadata management and mapping.
Features:BigID Next offers advanced data discovery, in-depth scanning capabilities, and custom classifiers, making it particularly strong in handling both structured and unstructured data. Its AI-enhanced security features provide compliance with various regulations, ideal for complex data environments. erwin Data Intelligence provides comprehensive metadata management, data mapping, and automated lineage analysis, making it a solid choice for organizations looking for centralized data governance and enhanced connectivity with its smart connectors.
Room for Improvement:BigID Next requires improvements in automation, scan reliability, and user interface navigation. There's also a need for better management of false positives and additional geographic-specific classifiers. erwin Data Intelligence could enhance workflow integration, SDK functionalities, and data quality assessments. Some users find its interface complex and suggest improvements in user experience and connector compatibility.
Ease of Deployment and Customer Service:BigID Next is flexible with private cloud, hybrid, and on-premises deployment options and offers prompt technical support, though some delays in general support are reported. erwin Data Intelligence also offers similar deployment options, with generally positive technical support, but some feedback suggests delays and complexities in deployment, especially with customization and updates.
Pricing and ROI:BigID Next is a premium product with pricing that matches its advanced features, offering significant ROI by ensuring compliance and reducing penalties, suitable for larger organizations. erwin Data Intelligence is competitively priced, appealing to budget-conscious organizations with its ROI benefits stemming from automation and reduced labor costs, making it a favorable option for those focusing on data governance and metadata management.
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.
Compared to competitor products like Collibra, erwin Data Intelligence is more cost-effective, providing a data catalog and data lineage views without the high costs associated with governance software.
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.
Even when I faced issues within the BigID environment, such as unsuccessful connections or new errors, the BigID team resolved them.
BigID has one of the best technical support teams.
Quest technical support is very good, as they provide not only a technical help desk but also a data automation team that creates and customizes smart connectors, offering a wealth of skilled support.
We often have to escalate and call multiple times to get a response to our cases.
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.
Regarding scalability, I would rate erwin Data Intelligence as an eight or nine for its ability to expand.
When we tried to connect erwin Data Intelligence to ERP on Oracle Cloud, specifically Oracle Fusion, we encountered many problems.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
It is good for small and medium enterprises, but larger enterprises with huge amounts of metadata might face some issues.
From my perspective, I would rate the stability of erwin Data Intelligence as an eight or nine out of ten.
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.
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 want them to focus on data mapping, assessment, automation workflow, and privacy incident management.
erwin Data Intelligence could improve particularly in the UI, as they are using old technologies that are not modern and do not serve the current requirements of the modern market.
The dashboard in erwin Data Intelligence is customizable, and you can easily create different views.
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.
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 best features BigID offers are data discovery and DSR, along with the policies they provide, including custom policies that we can create to ensure scans and results are accurate.
This feature is probably the most valuable because it allows for automated reverse engineering of lineage.
The mind maps clarify for the business the related business terms and the relation between the business terms and other technical terms and technical data products, and they are very effective.
| Product | Mindshare (%) |
|---|---|
| BigID Next | 4.4% |
| erwin Data Intelligence | 2.1% |
| Other | 93.5% |


| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
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.
erwin Data Intelligence is a comprehensive platform for metadata management, data cataloging, and governance. It enables organizations to gain insights, improve traceability, and streamline compliance through its advanced features.
Focusing on data lineage, metadata repositories, and seamless integrations, erwin Data Intelligence provides a unified perspective of enterprise data. Its robust capabilities include Smart Data Connectors for automation, efficient data visualization with mind maps, and adaptable metadata properties. While the platform integrates well into existing systems, areas for improvement include automation, SDK inconsistencies, and the need for better data quality assessments. Use cases highlight its importance in enhancing business data models and regulatory compliance.
What are the key features of erwin Data Intelligence?Industries implementing erwin Data Intelligence often focus on mapping data sources and integrating governance with ETL tools. This supports comprehensive data management strategies, enabling business teams to better locate, understand, and utilize data effectively. Its application in metadata management and automated reporting is particularly valuable in sectors requiring stringent regulatory compliance.
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