

Ataccama ONE Platform and BigID Next compete in the data management sphere. Ataccama ONE Platform has an advantage in scalability and governance for diverse environments, while BigID Next edges ahead with its strong emphasis on privacy and compliance.
Features: Ataccama ONE Platform is notable for data profiling, quality checks, and flexible deduplication processes. It seamlessly integrates with Collibra for governance and supports AI and machine learning. BigID Next stands out with its advanced scanning capabilities for structured and unstructured data and its robust classification features, which bolster security and compliance.
Room for Improvement: Ataccama ONE Platform struggles with handling large volumes of data and has a complex interface needing better documentation. Enhancements are required in performance for large datasets and process automation. BigID Next should improve its user interface, scan reliability, and automation features. Security enhancement and more classifier options, alongside better scan result management, are areas for improvement.
Ease of Deployment and Customer Service: Ataccama ONE Platform is typically deployed on-premises or in hybrid cloud settings and offers strong support despite potential delays in issue resolution. BigID Next is lauded for its flexible deployment in private or hybrid clouds, with generally satisfactory customer service, though support quality can be inconsistent.
Pricing and ROI: Ataccama ONE Platform offers a free entry-level version with well-priced additional features, boosting ROI through efficient data management. BigID Next, while expensive, provides modular pricing, appealing to organizations with high data demands. Effective integration can result in substantial ROI, especially for businesses requiring stringent compliance.
Legally, financially, and reputationally, addressing these data quality issues was crucial, and implementing Ataccama was a major step for them.
Money got saved and time got saved because previously, data quality was addressed through SQL and Python.
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.
MetLife worked with senior developers who made a positive impact on our experience.
We can raise a ticket using Jira, and they address it as soon as possible based on priority.
If it is a small issue, they tend to respond very quickly and they try to answer the question.
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.
As the volume increases, the performance of Ataccama ONE Platform decreases.
Ataccama ONE Platform's scalability is high, supporting large volumes of data and complex logic with flexible deployment options.
There was a concern with the architectural team about how much processing Ataccama ONE would need as usage scaled up.
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 updates were worth implementing, with no significant problems observed.
We are still developing the application, so there have not been many crashes or instabilities.
Ataccama ONE Platform is stable.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
The documentation part can be improved because documentation is key for any organization or tool.
It would be beneficial if these interactions could be more plug-and-play and less code-intensive, making them more efficient and easier to set up.
After every change and every match and merge rule you apply, you need to reprocess the entire record, which has to again go through the match and merge rules.
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.
What made the costing a problem with Ataccama ONE Platform is related to licensing, as it is every one year.
The only concern I had was that some features like address validation cost a little extra with the basic plan.
I have heard that the licensing and setup costs are quite high, especially if we try to connect for a support call.
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.
We were able to interface bidirectionally with Collibra for data governance, catching data quality issues before propagating through the system.
It is very good in scalability.
Ataccama ONE Platform has positively impacted our organization because before its implementation, completing tasks such as more than 100 or thousands of rules took more than a week. Now, we complete those tasks in less than two or three days due to the automation and one-time task capability.
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.
| Product | Market Share (%) |
|---|---|
| BigID | 5.2% |
| Ataccama ONE Platform | 2.3% |
| Other | 92.5% |


| Company Size | Count |
|---|---|
| Small Business | 4 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 5 |
| Large Enterprise | 11 |
Ataccama ONE Platform provides a comprehensive solution for profiling, cleansing, and integrating data with a user-friendly drag-and-drop interface, enhancing data quality and governance.
Ataccama ONE Platform enhances data profiling and cleansing with easy configuration and robust integration, such as with Collibra. Users value its drag-and-drop capabilities, supporting mainframe, AI, and machine learning. The platform improves data security through profiling and masking while offering extensive integration options. Some areas needing improvement include large database handling and batch management. Additional support for social media data sources, better documentation, and clearer language would be beneficial. Enhanced interfaces, particularly with Collibra, and refined notification systems are desired. This platform suits users seeking improvements in data quality, governance classification, and data migration, connecting with sources like Microsoft SQL, Oracle, and Teradata.
What are the key features of Ataccama ONE Platform?In industries like finance and healthcare, Ataccama ONE Platform facilitates data quality management and ensures compliance by connecting with data sources such as Microsoft SQL and Oracle. These industries utilize it for data migration tasks, ensuring data integrity through mapping and transformation processes.
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.
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