BigID Next vs Vanta comparison

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BigID Next

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Executive SummaryUpdated on Jan 22, 2026

BigID Next and Vanta are both prominent in data privacy and compliance management. BigID Next holds an edge with its feature-rich capabilities, whereas Vanta excels in integration and cost-effectiveness.

Features: BigID Next is equipped with advanced data discovery and classification technologies, robust compliance insights, and strong data governance capabilities. It supports various data types, including structured and unstructured data, and provides customizable classifiers for detailed data analysis. Vanta is notable for its seamless automation of compliance processes, prebuilt control frameworks, and real-time integration with services like AWS and New Relic, helping users maintain compliance efficiently.

Room for Improvement: BigID Next could enhance support for flash drives and improve customization flexibility for broad environments. While it effectively scans data sources, its setup can be resource-intensive. Users also desire fewer false positives from scans. Vanta could benefit from improved handling of complex workflows, more intuitive setup guidance for less experienced users, and enhanced user feedback to avoid redundant tasks in policy management. Additionally, better support for documentation across different compliance standards would be beneficial.

Ease of Deployment and Customer Service: Vanta offers a straightforward and rapid deployment process, with strong customer support aiding smooth implementation, which is attractive for quick compliance setup. BigID Next, although providing more deployment flexibility, demands more resources, often requiring bespoke configurations but offers comprehensive assistance through its support teams.

Pricing and ROI: BigID Next entails a higher initial cost, justified by its comprehensive suite of advanced features, appealing to businesses with complex data management needs. Vanta provides a cost-effective solution, targeting smaller operations with its competitive ROI and efficient compliance management, making it a favorable choice for budget-conscious businesses.

To learn more, read our detailed BigID Next vs. Vanta Report (Updated: December 2025).

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BigID Next vs. Vanta

December 2025

Helped 881,707 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

BigID Next

Ranking in Data Governance

6th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Loss Prevention (DLP) (7th), Data Privacy Management Software (1st), Data Security Posture Management (DSPM) (4th), AI Data Analysis (2nd)

Vanta

Ranking in Data Governance

13th

Average Rating

8.6

Reviews Sentiment

5.3

Number of Reviews

Ranking in other categories

Compliance Consulting (1st), Compliance Management (3rd)

Mindshare comparison

As of February 2026, in the Data Governance category, the mindshare of BigID Next is 5.3%, down from 7.9% compared to the previous year. The mindshare of Vanta is 1.3%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Market Share Distribution
Product	Market Share (%)
BigID Next	5.3%
Vanta	1.3%
Other	93.4%

Data Governance

Featured Reviews

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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reviewer2585640

Consultant at a consultancy with 11-50 employees

Compliance workflows have become organized and automation supports ongoing healthcare audits

There are always tons of rooms for improvement for Vanta. I kind of exaggerated a little bit about the policy control. I don't really love the way they handle the revision management of that feature. If I'm on V1 of the policy document and I make some changes to it, then I get rid of V1 and then I re-upload V2. It's not that it keeps a running history of each of the different revisions. A little bit of an issue with that, but workable. I don't really have any negative complaint right now that would be worthwhile expressing. It's just that there's a lot of features. The UI is not super intuitive, but now that I've worked with it for a couple of years, I know how to navigate and get around. Initially, it was a little bit of a struggle understanding how these things would all work.

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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 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 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."

"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."

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

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

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

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

More BigID Next pros

"The product has provided automated security controls for our cloud provider. It helps to automate security checks. Vanta offers a list of things that can be done to achieve ISO 27001 compliance."

"After implementing those changes with Vanta, we tracked specific outcomes and metrics and improved compliance scores, which we can see in Vanta."

"They integrate into New Relic as a performance monitoring tool."

"The most valuable feature of Vanta would be the time savings from the automation and the continuous compliance monitoring once set up."

"Task management and vendor assurance are the most valuable features. It is also an easy tool to use."

"It helps us track the compliance of the components listed in our partner's directory. We can also check if the password manager, XML, and three log policies have been properly implemented on the desktop."

"The most valuable feature of Vanta is its prebuilt control frameworks."

"Vanta provides a necessary repository that any compliance expert will look at and recognize right away."

More Vanta pros

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."

"One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur."

"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."

"More classifications about different states are needed"

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

"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."

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

"The tool currently lacks security features."

More BigID Next cons

"Permissions for platform users have been an issue. We've had to give admin access to Vanta for another team member to view all items."

"Failed tests for device CVEs seem to be cumulative, meaning I have to clear all CVEs before the test will pass, which makes it difficult to resolve the test before the next round of CVEs are published."

"Scalability could be improved."

"Currently, Vanta's user access review module is still in development, and we've been giving them continuous feedback to help them improve that."

"They have an AI generator for the system description for SOC 2, however, the outline is a little sketchy."

"The main area for improvement in Vanta is the user interface's refresh rate."

"Some of the tool's automated tests do not work the way it should."

"I would tell others looking into using Vanta to use it for HITRUST E1 and I1 assessments, as the R2 assessments are still a work in progress."

More Vanta cons

Pricing and Cost Advice

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

"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."

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

"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."

"Vanta is expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Insurance Company

Computer Software Company

Manufacturing Company

Computer Software Company

18%

Financial Services Firm

10%

University

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Large Enterprise	11

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	3
Large Enterprise	1

Questions from the Community

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...

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...

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...

What do you like most about Vanta?

The most valuable feature of Vanta is its prebuilt control frameworks.

What needs improvement with Vanta?

Failed tests for device CVEs seem to be cumulative, meaning I have to clear all CVEs before the test will pass, which makes it difficult to resolve the test before the next round of CVEs are publis...

What is your primary use case for Vanta?

My use case involves SOC 2 and ISO 27001 compliance.

Varonis Platform vs BigID Next

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Compared 8% of the time

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Sprinto vs Vanta

Compared 7% of the time

Microsoft Purview Data Governance vs Vanta

Compared 6% of the time

Credo AI vs Vanta

Compared 3% of the time

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Product Reports

Download BigID Next product report

BigID Next

February 2026

Download Vanta product report

January 2026

Overview

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

Vanta helps companies scale security practices and automate compliance for the industry’s most sought after standards - SOC 2, ISO 27001, HIPAA, PCI DSS, GDPR, and CCPA.

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments

Care Directives, Shortcut , Nayya, Heizenrader, Treasury Prime