Ataccama ONE Platform vs BigID vs SAS Data Management comparison

Read 12 BigID reviews

4,631 Views
3,797 Comparison Views

100% willing to recommend

SAS Data Management

Read 18 SAS Data Management reviews

1,638 Views
410 Comparison Views

88% willing to recommend

Ataccama ONE Platform

SAS Data Management

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Ataccama ONE Platform, BigID, and SAS Data Management based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Collibra and others in Data Governance.

To learn more, read our detailed Data Governance Report (Updated: September 2025).

Download the complete report

Data Governance

September 2025

Helped 870,697 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Mindshare comparison

As of October 2025, in the Data Governance category, the mindshare of Ataccama ONE Platform is 2.3%, up from 2.2% compared to the previous year. The mindshare of BigID is 6.8%, down from 7.5% compared to the previous year. The mindshare of SAS Data Management is 1.0%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Market Share Distribution
Product	Market Share (%)
BigID	6.8%
Ataccama ONE Platform	2.3%
SAS Data Management	1.0%
Other	89.9%

Data Governance

Featured Reviews

JohnZacharkan

Senior Architect at SourcEdge

Enhanced data quality with machine learning support in diverse environments

We used Ataccama ONE to read data from the mainframe for a data quality perspective. There's a significant lack in that area with tools being able to interface with mainframe. MetLife has a diverse environment, including DB2, Oracle, SQL Server, legacy, and vSAN files. Being able to work in these various environments and put them to a single data quality tool was very appealing. Additionally, Ataccama supported AI and machine learning, which was one of the features I liked. Furthermore, we were able to interface bidirectionally with Collibra for data governance, catching data quality issues before propagating through the system.

Read full review

Ankita Sabale

Senior Associate - IT Governance and Compliance at Fulcrum Digital Inc

Predefined classifiers in place support sensitive data scanning effectively

BigID does not currently support Kerberos authentication for DataStax. On the user interface, analyzing true and false positives can be challenging, as I can only view 2,000 characters at a time. When tagging scan results, all objects get tagged without the option to untag specific ones. This requires reverting changes through MongoDB, which can result in data loss.

Read full review

Vivek Trivedi

Head finance transformation at Ahli United Bank Ksc

Has robust data governance capabilities and efficient financial alerting features

The platform's robust data governance capabilities ensure strong compliance with regulatory standards. Our dedicated data governance team is responsible for setting policies and monitoring data access and usage. Additionally, we have a Data Protection Officer (DPO) and an independent InfoSec team that work together to enforce these policies. This multi-layered approach ensures that data governance is effectively managed and compliant with all necessary regulations. It is integrated with SQL and Power BI servers for executive management dashboard reporting. This integration supports comprehensive data analysis and reporting needs, which was a key factor in our decision. The value of using vCenter lies in its comprehensive data infrastructure management. It significantly enhances our reporting, day-to-day decision-making, and analytics capabilities. Integrating SaaS with vCenter adds value by streamlining key functions and improving overall organizational efficiency. The solution can be considered expensive, particularly due to infrastructure, maintenance, and ownership costs. The long-term savings and efficiencies gained from using vCenter can justify the investment for large organizations. However, the high costs might not be justifiable for smaller organizations with less data and fewer resources. Conducting a thorough cost-benefit analysis based on the organization's specific needs and scale is recommended. I rate it an eight.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It is also easy to deploy."

"The product’s important feature is data profiling and quality check."

"The notable aspect lies in the workflow structure, where building the workflow aligns significantly with data governance."

"Customer service was excellent, and I would give it a ten out of ten."

"The data profile itself is excellent. You can understand the quality of the data in layman's terms."

"The desktop version of the solution was particularly valuable to me, primarily for creating components. We opted for the data quality aspect to assess the quality of our data warehouse. The functionalities available allowed us to not only check data quality but also serve as an ETL tool. This versatility enabled data transformation and storage in various formats, including files on platforms like SharePoint or local online directories. The flexibility of the tool catered to the specific needs of those building components, contributing to our desired outcomes."

"The drag-and-drop feature is incredibly flexible and straightforward."

"The ease of use of the user console is valuable."

"BigID's scanning feature is its most valuable component."

"BigID has one of the best technical support teams."

"The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers."

"It provides a unified view across different databases and supports a wide range of data source types, including cloud and on-premises systems."

"BigID offers different scan types for data discovery. The most powerful one is the full scan, which scans both data and metadata. However, the metadata scan is faster in comparison."

"BigID is more advanced than Microsoft Purview when it comes to machine learning and AI development tools."

"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."

More BigID pros

"The product offers very good flexibility."

"Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools."

"The technical support is excellent."

"In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features."

"If you compare it to SQL, the memory and development times are very quick."

"This is an established product with powerful data analysis and varied options for user entry points."

"I find the solution to be very stable."

"I am impressed with the tool's ability to customize."

More SAS Data Management pros

Cons

"Data movement is a pain."

"The interfacing to tools such as Collibra was somewhat cumbersome and required more thought."

"Speaking specifically about the version we use, version 12.3, I'm unsure if this has been addressed in subsequent versions. One improvement I'd like to see pertains to the language used in certain components, especially in data quality checks. The language complexity posed a challenge for beginners. Although we had on-site assistance from Ataccama, making it manageable for us, some individuals found it difficult to comprehend, necessitating additional support. The provision of a comprehensive guide for on-premise installation can also be enhanced. The lack of detailed information on the solution's workings and the overwhelming nature of notifications, with extensive content, were areas of concern. Streamlining the notification content in newer versions would significantly expedite issue resolution."

"It is complicated to fetch 20-25 reports when we profile the data."

"They could focus more on marketing the product. The current marketing strategy is not working."

"There is a notable challenge in having to provide detailed filters before the site recognizes the search criteria."

"I believe it would be beneficial if it could enhance its flexibility to connect with a wider range of downstream systems beyond just Excel and Postgres."

"Although DQA can fetch data from most of the commonly used data sources, it has limited modifiers to get data, meaning that the number of technologies from which the data can be acquired is limited. For example, DQA does not support fetching data from Twitter or Facebook. Many competitors have this feature."

"More classifications about different states are needed"

"In terms of what could be improved, when you're looking in a BigID file, you cannot really get the whole file. You have to export it to download it to another platform that allows you to completely view it, or run a program. That was one of the things that was really a disappointing point for me. Not to be able to view everything. There's a lot more data, but you can't get it all at once."

"One concern I have with BigID is regarding certain scans, like the multi-scan. The issue is that we can stop and retrieve these scans, but once they start, they go through an enumeration process."

"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."

"The tool currently lacks security features."

"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."

More BigID cons

"Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics."

"I would like the tool to include the ability to automate the modifications of the integrations."

"The solution is quite expensive and hard to install/configure."

"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."

"With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process."

"The solution could use better documentation."

"The pricing of the solution needs to be improved. They need to work to make it more affordable."

"One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place."

More SAS Data Management cons

Pricing and Cost Advice

"There is no need to buy a license. You can just download it and use it for free."

"Our licensing model wasn't user-specific; instead, we paid fees for the engine and maintenance. As we didn't have a support contract, maintenance fees were likely nonexistent. Regarding the upgrade, we had an account for the initial two or three years, and considering the features provided by the solution, the pricing was reasonable."

"The product is reasonably priced."

"Despite not being extremely low-cost, the pricing appears reasonable, making it a profitable and viable choice for companies that prioritize data security and adhere to specific policies."

"I think that BigID's pricing is very reasonable."

"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."

"The solution is expensive."

"The product is expensive, but so are all competitor tools"

"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 expensive."

"The tool is a bit expensive."

"While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use."

"The licensing model for vCenter is a perpetual license with yearly payments."

See which vendors are best for you

Use our free recommendation engine to learn which Data Governance solutions are best for your needs.

See recommendations

870,697 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

13%

Manufacturing Company

10%

Computer Software Company

Insurance Company

Financial Services Firm

24%

Computer Software Company

Insurance Company

Manufacturing Company

Financial Services Firm

31%

Government

10%

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	3
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	5
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	1
Large Enterprise	8

Questions from the Community

What do you like most about Ataccama ONE Platform?

The notable aspect lies in the workflow structure, where building the workflow aligns significantly with data governa...

What needs improvement with Ataccama ONE Platform?

The interfacing to tools such as Collibra was somewhat cumbersome and required more thought. While it was possible to...

What is your primary use case for Ataccama ONE Platform?

Some of the use cases for Ataccama ONE included data quality, identifying and mapping to Collibra, which was their da...

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 stan...

What needs improvement with BigID?

BigID does not currently support Kerberos authentication for DataStax. On the user interface, analyzing true and fals...

What is your primary use case for BigID?

BigID is part of our data governance project. We onboard data sources in our environment and scan for specific sensit...

What is your experience regarding pricing and costs for SAS Data Management?

From my experience, SAS Data Management is an expensive tool.

What needs improvement with SAS Data Management?

There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS a...

What is your primary use case for SAS Data Management?

Some clients and I are using SAS Data Management for data cleansing, data warehousing, and IoT-related activities suc...

Microsoft Purview Data Governance vs Ataccama ONE Platform

Comparisons

Compared 18% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Ataccama ONE Platform

Compared 16% of the time

Collibra Governance vs Ataccama ONE Platform

Compared 12% of the time

Talend Data Quality vs Ataccama ONE Platform

Compared 8% of the time

Profisee vs Ataccama ONE Platform

Compared 5% of the time

More Ataccama ONE Platform Competitors

Varonis Platform vs BigID

Compared 20% of the time

Cyera vs BigID

Compared 19% of the time

Microsoft Purview Data Governance vs BigID

Compared 14% of the time

Securiti vs BigID

Compared 8% of the time

Microsoft Purview Information Protection vs BigID

Compared 4% of the time

More BigID Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs SAS Data Management

Compared 18% of the time

Collibra Governance vs SAS Data Management

Compared 12% of the time

Protegrity’s Data Protection Platform vs SAS Data Management

Compared 11% of the time

Palantir Foundry vs SAS Data Management

Compared 11% of the time

Microsoft Purview Data Governance vs SAS Data Management

Compared 8% of the time

More SAS Data Management Competitors

Product Reports

Download Ataccama ONE Platform product report

Ataccama ONE Platform

October 2025

Download BigID product report

October 2025

Download SAS Data Management product report

SAS Data Management

September 2025

Also Known As

Ataccama DQ Analyzer

No data available

SAS Data Management Platform, Data Management Platform, DataFlux

Overview

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?

Data Profiling and Cleansing: Enhances data quality with easy configuration.
Flexible Integration: Seamless integration with platforms like Collibra.
Drag-and-Drop Interface: Provides ease in workflow management.
Support for AI and Machine Learning: Offers advanced analytical capabilities.
Data Security: Ensures protection with profiling and masking features.

What benefits and ROI can users expect?

Improved Data Quality: Enhances data accuracy and reliability.
Enhanced Governance: Facilitates better metadata classification and compliance.
Increased Efficiency: Streamlines data integration and transformation processes.
Advanced Analytics: Leverages AI for insightful data analysis.

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.

Ataccama

BigID is a leader in data security, privacy, compliance, and governance: enabling organizations to proactively discover, manage, protect, and get more value from their data in a single platform for data visibility and control. Customers use BigID to reduce their data risk, automate security and privacy controls, achieve compliance, and understand their data across their entire data landscape: including multicloud, hybrid cloud, IaaS, PaaS, SaaS, and on-prem data sources.

Drives visibility and control for all sensitive & critical datah
helps organizations understand and minimize data risk across the cloud & on-prem
AI automation
End-to-end data lifecycle management
DSPM
Data Security
Privacy Automation
Data inventory
Compliance