Atlan vs BigID Next comparison

Atlan and BigID are both solutions in the Data Governance category. Atlan is ranked #12 with an average rating of 8.3, while BigID is ranked #4 with an average rating of 8.2. Atlan holds a 2.0% mindshare in DG, compared to BigID’s 4.9% mindshare. Additionally, 100% of Atlan users are willing to recommend the solution, compared to 100% of BigID users who would recommend it.

Atlan

Read 10 Atlan reviews

2,229 Views
2,162 Comparison Views

100% willing to recommend

BigID Next

Read 15 BigID Next reviews

7,653 Views
5,051 Comparison Views

100% willing to recommend

Atlan

BigID Next

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 22, 2026

BigID Next and Atlan are leading contenders in the data management platform category. BigID holds the upper hand in data security and scanning features, whereas Atlan shines with user-friendly design and integration ease.

Features: BigID Next is known for its robust data discovery capabilities, advanced data classification, and integration with machine learning tools that enhance its data governance offerings. It is effective for managing both structured and unstructured data and offers customizable classifiers suitable for complex data environments. Atlan, renowned for seamless integration with numerous data sources, features an intuitive user interface that simplifies data cataloging. Its automated lineage and communication platform integration enable efficient metadata management and collaboration.

Room for Improvement: BigID needs enhancements in data visualization, additional security features, and improved automation. Addressing issues like intermittent scan failures and limited Kerberos support would also be beneficial. Atlan could improve its governance capabilities, lineage features, and workflows. Focusing more on business data and advanced reporting functions would enhance its enterprise appeal.

Ease of Deployment and Customer Service: BigID offers diverse deployment options across private, public, and hybrid clouds, as well as on-premises solutions, allowing for organizational flexibility. Its technical support is responsive, though accessing higher support tiers can be challenging. Atlan provides multiple deployment choices with a preference for public cloud environments and maintains consistent support quality, making it ideal for cloud-heavy users.

Pricing and ROI: BigID’s pricing aligns with its extensive feature set, making it suitable for large enterprises prioritizing compliance and detailed data governance, although it may be seen as costly. Atlan employs a user-based licensing model that is cost-effective for mid-sized companies, offering a competitive ROI with strong engagement and scalability features. While both products offer valuable capabilities, Atlan focuses on user engagement and BigID on comprehensive API integration and scanning depth.

To learn more, read our detailed Atlan vs. BigID Next Report (Updated: April 2026).

Buyer's Guide

Atlan vs. BigID Next

April 2026

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Helped 893,221 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:

Categories and Ranking

Atlan

Ranking in Data Governance

12th

Average Rating

8.4

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

Metadata Management (4th)

BigID Next

Ranking in Data Governance

4th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Loss Prevention (DLP) (8th), Data Privacy Management Software (1st), Data Security Posture Management (DSPM) (4th), AI Data Analysis (3rd)

Mindshare comparison

As of May 2026, in the Data Governance category, the mindshare of Atlan is 2.0%, up from 1.8% compared to the previous year. The mindshare of BigID Next is 4.9%, down from 7.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
BigID Next	4.9%
Atlan	2.0%
Other	93.1%

Data Governance

Featured Reviews

Peter Neumann

IT consultant at Pathfinder

Has struggled to meet business needs but supports technical data exploration and transparency

Atlan can be improved by concentrating more on business data since it is developed from developers for developers, and it needs to be more business relevant. For instance, when re-importing data model diagrams, Atlan provides some diagram automation that is not connected to the business glossary, which I consider a significant fault. Atlan needs to improve by focusing more on the business side of data, not only on technical aspects.If you want to focus on technical considerations, it would be beneficial to have an interface with a real business data modeling tool such as Erwin or other business data tools, since data modeling is not the same as Draw.io. Additionally, Atlan can improve its workflows, which are hard to understand. Working with templates, Excel import, export, and running automations is not self-explanatory, and you always need help from Atlan support team. If business people want to use it and run their own reports, it must be easier to customize for their business needs.

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Aniruddha Nath

Senior Security Consultant at a consultancy with 10,001+ employees

Data discovery has transformed compliance workflows and automation now speeds up requests and remediation

The best feature that BigID offers is data discovery and classification, which is the most powerful engine. It allows connecting to many different data sources, ranging from cloud to on-premises to structured to unstructured data. If there is no connector available, you can build your own classifiers as well. Regarding the custom classifier option, you can build custom classifiers using regular expressions, and I have done that if you know how to create regular expressions. Custom connectors are something you create to connect to a database where the connector is not available. BigID has positively impacted my organization as it's a very powerful tool, especially with the increasing regulatory compliances for different countries such as GDPR, CCPA, and India's recent DPDPA act. Having these tools in place greatly helps organizations avoid any penal charges for not being compliant with the regulatory compliances. For example, regarding compliance or reduced risks for my clients, the DSAR process I was talking about allows organizations to respond quickly to user data deletion requests under GDPR law, which traditionally has a 30-day or 60-day timeline. In larger organizations, when the number of requests is high, it becomes tedious. However, using DSAR automation with BigID, it's almost instantaneous; instead of 30 days, you can respond in just one day to what users have requested.

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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 interfaces and automated imports have helped me with transparency, as we have different sources from different techniques such as DBT, Snowflake, and other regular databases, making it effective to connect these sources and navigate through them, filter them, and enrich the data with additional meter information."

"By switching to Atlan, we have increased our productivity and saved a lot of business time through automation."

"Overall, I rate Atlan a nine out of ten."

"Atlas is quite intuitive."

"As a senior analytics engineer, Atlan's ability to show end-to-end data lineage is the most important feature for me."

"By switching to Atlan, we have increased our productivity and saved a lot of business time."

"The AI part is integrated for enriching metadata engagement, making it a comprehensive tool."

"The best feature of Atlan is its integration with communication platforms like Microsoft Teams and Slack, so business users don't have to go into a data catalog to see metadata about data assets."

More Atlan pros

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

"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 integrates well with our other products."

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

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

"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."

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

"I like BigID's in-depth discovery and scanning capabilities, especially for unstructured data. This feature is a standout compared to competitors. The tool's data classification capabilities are impressive. It offers custom classifiers and a blend of regular exploration and artificial intelligence, making it a next-generation solution. This enhances data security, and its security posture management is straightforward and user-friendly."

More BigID Next pros

Cons

"There are some improvements. There is a feature called Playbooks, which basically allows me to automate certain activities that would otherwise be manual. It's a very interesting feature, but there is room to improve it because, depending on the task you automate, the playbooks seem to have a hard time handling the task. So, it could be improved there. Even though it's a great feature, it can evolve further."

"Certain UI changes could make Atlan more user-friendly."

"The challenge is in the lineage, where it requires improvement."

"In my experience, it might be less suited for collaboration across teams."

"Certain UI changes could make Atlan more user-friendly."

"One of the main areas for improvement is its governance capabilities. Atlan supports only basic out-of-the-box workflows, and it becomes challenging to customize features like how data owners should approve access to data assets."

"Customer support for Atlan is not so proactive."

"The challenge is in the lineage, where it requires improvement. Atlas needs to capture areas where organizations use less known applications."

More Atlan cons

"I want them to focus on data mapping, assessment, automation workflow, and privacy incident management. The privacy tools have not been widely used, and they have not invested much in privacy code privacy tools."

"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."

"Improvement could be made in data consent management and data privacy impact assessment."

"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."

"BigID's user interface was problematic as it was not very user-friendly, though I believe it improved over time."

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

"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."

More BigID Next cons

Pricing and Cost Advice

"We pay per-user license. It's a different classification model than with other solutions, where they usually charge you for resources. So, that was a better model for us. And because of this difference in models or classification, it was cheaper for us to go with Atlan."

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

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

"The solution is expensive."

"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 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."

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Top Industries

By visitors reading reviews

Manufacturing Company

17%

Financial Services Firm

11%

Insurance Company

Computer Software Company

Financial Services Firm

20%

Insurance Company

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	1
Large Enterprise	9

By reviewers
Company Size	Count
Small Business	5
Large Enterprise	11

Questions from the Community

What is your experience regarding pricing and costs for Atlan?

My experience with pricing, setup cost, and licensing is that the licensing cost is a bit flexible but not affordable for smaller organizations. It might be way out of their budget, but it is very ...

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What needs improvement with Atlan?

Atlan can be improved by enhancing their support process by reducing the resolution time. They have really bad and incomplete documentation, so they should work on the documentation as well, especi...

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What is your primary use case for Atlan?

My main use case for Atlan is to define a flexible set of metadata, including measuring the quality of said data. Atlan is also a partner of ours, so we use it to integrate with our own tool. It al...

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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 standout compared to competitors. The tool's data classification capabilities are i...

See all answers

What needs improvement with BigID?

One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur. I think the BigID team is aware of this and works on resolving iss...

See all answers

What is your primary use case for BigID?

BigID's main use case is connecting to various data sources to perform the data discovery process, classify the data within those systems, and identify sensitive information across various structur...

See all answers

Comparisons

Microsoft Purview Data Governance vs Atlan

Compared 22% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Atlan

Compared 12% of the time

Collibra Platform vs Atlan

Compared 12% of the time

Alation Data Catalog vs Atlan

Compared 11% of the time

Securiti vs Atlan

Compared 2% of the time

More Atlan Competitors

OneTrust DataGovernance vs BigID Next

Compared 11% of the time

Cyera vs BigID Next

Compared 9% of the time

Securiti vs BigID Next

Compared 8% of the time

Varonis Platform vs BigID Next

Compared 8% of the time

OneTrust Privacy vs BigID Next

Compared 7% of the time

More BigID Next Competitors

Product Reports

Buyer's Guide

Atlan

May 2026

Download Atlan product report

Buyer's Guide

BigID Next

May 2026

Download BigID Next product report

Overview

Atlan is a comprehensive data management platform designed to enhance data democratization, governance, and collaboration across departments in organizations. It offers a centralized data catalog, intuitive user interface, and robust governance framework to ensure data security and compliance. Users appreciate its efficiency in streamlining processes, promoting better communication, and providing insightful analytics, which drive organizational growth and success.

Atlan

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?

User-Friendly Interface: Easily navigable for streamlined data operations.
Microsoft Integration: Seamless compatibility with Microsoft platforms.
Data Scanning Capabilities: Efficiently scans structured and unstructured data.
Data Classification and Discovery: Identifies and categorizes sensitive data.
Security Labels: Supports predefined and custom security labels.
Automation for PII Requests: Automates privacy request management.
Compliance Adherence: Aligns with GDPR and CCPA requirements.
Scheduling Scans: Facilitates planned data assessments.
Machine Learning: Enhances data mapping, auditing, and management.

What benefits should users look for?

Enhanced Compliance: Supports adherence to major privacy laws like GDPR and CCPA.
Data Mapping Efficiency: Improves data locating and classification.
Automation Features: Saves time with automated data request handling.
Comprehensive Integration: Works well with existing security tools.
Holistic Data View: Offers clear insights into data storage and use.

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.

BigID

Sample Customers

Information Not Available

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments

Buyer's Guide

Atlan vs. BigID Next

April 2026

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