Ataccama ONE Platform vs BigID vs Varonis Platform comparison

Read 12 BigID reviews

4,631 Views
3,797 Comparison Views

100% willing to recommend

Varonis Platform

Read 14 Varonis Platform reviews

9,243 Views
4,437 Comparison Views

92% willing to recommend

Ataccama ONE Platform

Varonis Platform

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Ataccama ONE Platform, BigID, and Varonis Platform 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).

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Data Governance

September 2025

Helped 869,785 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 Varonis Platform is 10.6%, up from 8.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Market Share Distribution
Product	Market Share (%)
Varonis Platform	10.6%
BigID	6.8%
Ataccama ONE Platform	2.3%
Other	80.3%

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.

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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.

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Frederic Delos

Senior Cloud Engineer at a financial services firm with 10,001+ employees

Offers the ability to identify sensitive areas, allowing you to drill down into the sensitive data

The most effective feature for me is its ability to identify sensitive areas, allowing you to drill down into the sensitive data, provided you have access, to determine whether it's a false positive or a true positive. That's the best thing for me, out of all of it. It's got everything, like other ones, but I like to be able to look at something if I'm doing forensics on the alert and say, "Okay, do I really need to do something with this?" For example, we don't want sensitive data in our OneDrive. So it identifies the sensitive data that's possibly in the OneDrive. And what I can do is look at it and identify whether it's actually sensitive data in Datalert or whether it looks like sensitive data, but I know it's a false positive. If it is a false positive, I can basically say ignore this pattern based on X, Y, and Z, you know, whether it's Redjax or keyword proximity. So I like that. With other tools, I gotta go through a whole process because it's a little bit more complex. Here, I can tag it and bag it in one shot. And the next good time I scan, it slips over it. So it helps in that.

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Quotes from Members

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

Pros

"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."

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

"It is also easy to deploy."

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

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

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

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

"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."

"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."

"The data classification offered by the tool can help companies improve their security strategy"

"The tool's most valuable feature is correlation. Using BigID's data classification capabilities has strengthened our data security. It lets me classify and connect data, which helps me manage data at various classification levels."

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

"One of the most valuable things in a data-focused world is a tool, a technology that's data-centric, not trying to master data management or whatever else. It's a source of truth for what data an organization holds, giving it the ability to catalog, categorize, and understand its data."

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

"Data classification is highly effective due to its automatic capabilities."

More BigID pros

"I also appreciate the reporting feature, which allows for the extraction of various reports based on specific needs. These reports can be used for audit purposes, such as tracking changes in file locations or deletions."

"The solution's classification engine is highly configurable and efficient."

"The solution has significantly improved data security and compliance posture by allowing us to track and monitor activities. We can see who accesses data and when files are created and understand what's happening in our environment."

"It can easily identify unusual behavior or access patterns that may pose a potential threat, while operating as a unified reporting system."

"The telemetry to capture everything and the reports are very easy to configure without having a developer degree."

"The solution ensures that users have not accidentally shared sensitive information with the wrong people or too many people."

"The most important feature is remediation. In remediation support, there is no group permission. We'll go ahead and remediate the access from the Dell folder to the parent folder."

"Varonis offers robust data access governance, allowing us to understand which sensitive data exists and who has access to it."

More Varonis Platform pros

Cons

"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."

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

"Data movement is a pain."

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

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

"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."

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

"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."

"BigID is making some forays into the GRC space, and that's a natural progression. I'd like to see that improve so that data governance is better, data risk is identified, and the ability to control and mitigate it."

"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."

"BigID needs improvement in terms of automation."

"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."

"There are some shortcomings when it comes to Calvirus authentication, which is not yet supported by BigID."

"Some users find catalog navigation challenging due to the lack of a search-by-column feature, which makes it difficult to locate specific data quickly."

"I want them to focus on data mapping, assessment, automation workflow, and privacy incident management."

"More classifications about different states are needed"

More BigID cons

"The remediation process can be improved. There will be no existing permission group for the McAfee channel domains. We can create a new permissions group for the required folder."

"I'd like to see automatic updates for this solution. Currently, it's a manual process to update all the keywords"

"We have Microsoft Office 365. I just saw an article today which says that they're actually getting integrated with Microsoft Office 365, which would be a useful feature. For user-based reports, log on activity, and stuff like that, it doesn't seem to really be present like Log360. That could just be my inexperience with it. I've been dealing with it for only about two and a half months."

"The GUI should be more functional. There should be a process for connecting through Chrome, Internet Explorer, etc."

"One area for improvement is the calculation engine. When applying rules in Varonis, especially for large datasets (terabytes of data), the calculations can be slow and require time to process. Speeding up this process would be beneficial."

"The solution's areas of improvement are the interface and the dependency on on-premises deployment for some components."

"It is significantly complex."

"Varonis requires more access permissions for its core functions compared to competitors, which can be a concern for companies about data safety."

More Varonis Platform 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."

"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."

"The product is reasonably priced."

"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 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."

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

"You could do a subscription, where you pay yearly, or you could purchase it outright. The licensing cost is based on the number of users on the system that you are monitoring."

"Licensing is on an annual basis. Maintenance and renewal fees are separate. Varonis Datalert is quite expensive."

"It's expensive, kind of, really expensive."

"The platform is expensive. I rate the pricing a nine out of ten."

"Varonis Platform wasn't certainly the cheapest solution."

"The pricing is good. It neither expensive nor cheap. It is average."

"I would rate the pricing an eight out of ten, with ten being the most expensive."

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869,785 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

15%

Manufacturing Company

Computer Software Company

Insurance 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	2
Midsize Enterprise	1
Large Enterprise	11

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 do you like most about Varonis Platform?

The solution has significantly improved data security and compliance posture by allowing us to track and monitor acti...

What needs improvement with Varonis Platform?

Varonis started as an on-premises solution and is transitioning to cloud. It hasn't fully moved yet, which is an area...

What is your primary use case for Varonis Platform?

The primary use case for Varonis Platform is data discovery, specifically for discovering sensitive data in our organ...

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

Cyera vs BigID

Compared 18% 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

Collibra Governance vs BigID

Compared 4% of the time

More BigID Competitors

Microsoft Purview Data Governance vs Varonis Platform

Compared 20% of the time

Cyera vs Varonis Platform

Compared 11% of the time

Wiz vs Varonis Platform

Compared 5% of the time

Microsoft Purview Information Protection vs Varonis Platform

Compared 3% of the time

Netskope Data Loss Prevention (DLP) vs Varonis Platform

Compared 3% of the time

More Varonis Platform Competitors

Product Reports

Download Ataccama ONE Platform product report

Ataccama ONE Platform

October 2025

Download BigID product report

October 2025

Download Varonis Platform product report

Varonis Platform

September 2025

Also Known As

Ataccama DQ Analyzer

No data available

SlashNext Complete

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