BigID Next vs Veritas Data Insight comparison

BigID and Veritas are both solutions in the Data Governance category. BigID is ranked #6 with an average rating of 8.3, while Veritas is ranked #20 with an average rating of 9.0. BigID holds a 5.2% mindshare in DG, compared to Veritas’s 0.9% mindshare. Additionally, 100% of BigID users are willing to recommend the solution, compared to 100% of Veritas users who would recommend it.

BigID Next

Read 15 BigID Next reviews

5,072 Views
3,855 Comparison Views

100% willing to recommend

Veritas Data Insight

Read 6 Veritas Data Insight reviews

1,372 Views
1,372 Comparison Views

100% willing to recommend

BigID Next

Veritas Data Insight

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Executive SummaryUpdated on Jan 22, 2026

BigID Next and Veritas Data Insight are competitors in the data management solutions category. User feedback indicates BigID Next has an advantage in pricing and support, while Veritas Data Insight is preferred for its comprehensive feature set, making it more ideal for large organizations.

Features: BigID Next offers strong data classification, discovery, and scanning capabilities for both structured and unstructured data. It supports compliance with various regulations and employs advanced machine learning. However, it lacks features for portable drive storage. Veritas Data Insight is notable for its high speed in classifying unstructured data, efficient data security management, and risk-scoring capabilities.

Room for Improvement: BigID Next could improve its file-viewing capabilities, data governance, security features, and automation. There are also challenges with scan reliability and certain authentication methods. Veritas Data Insight would benefit from advancements in reporting, virtualization, and price competitiveness, which could enhance user appeal.

Ease of Deployment and Customer Service: BigID Next supports a variety of deployments including Private and Hybrid Clouds and On-premises, with helpful technical support despite some solution delivery delays. Veritas Data Insight is limited to On-premises and Hybrid Cloud but is praised for a reliable support system that effectively assists users.

Pricing and ROI: BigID Next is considered expensive but offers good ROI through compliance assistance and fine reduction. Its modular pricing may suit specific organizational needs. Veritas Data Insight faces similar cost criticisms but is seen as cost-effective in regions like Brazil, delivering strong compliance and data management value.

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

Buyer's Guide

BigID Next vs. Veritas Data Insight

December 2025

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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 (2nd), Data Security Posture Management (DSPM) (4th), AI Data Analysis (2nd)

Veritas Data Insight

Ranking in Data Governance

20th

Average Rating

9.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Governance category, the mindshare of BigID Next is 5.2%, down from 7.8% compared to the previous year. The mindshare of Veritas Data Insight is 0.9%, 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	5.2%
Veritas Data Insight	0.9%
Other	93.9%

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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Humberto Tahara

Senior Solution Architect Pre-Sales at Invent Cloud Soluções em Tecnologias Ltda

Legacy backup works well with good UI and amazing support

I use it for backup and virtual machines, and the databases are on-premises and in the cloud It's a good solution. It's been in business a long time working with backup. I love it for legacy backup work, I think so. I need more options for virtualization. I know it's good for virtualization, but…

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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 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 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."

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

"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 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."

"BigID integrates well with our other products."

"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 stability has been great."

"Veritas Data Insight has been instrumental in managing and categorizing data across our storage repository. The tool identifies valuable business data and distinguishes it from non-essential data. This capability empowers us to separate and exclude unnecessary data from our long-term retention strategy. Its valuable feature is alert mitigation."

"It's a good solution."

"Data Insight is a good product to do everything. It is kind of transparent to administrators. It is also a very good solution with regards to GDPR compliance and regulations. Veritas is a well-established company, and it has a long legacy. Veritas solutions have expected stability and flexibility. It supports most of the flexible solutions in the market and has support for data protection, data monitoring, and things like that. In these ransomware times, it is a very important company with good solutions."

"The features I find most valuable in Veritas Data Insight include its exceptional speed in classifying unstructured data and its user risk-scoring functionality."

"The most valuable features of Veritas Data Insight are the ease of use, one console deployment for the administration, and backups that can be done in minutes. It is a very fast solution."

"I love Veritas support."

Cons

"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."

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

"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."

"BigID is expensive. I prefer McAfee."

"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."

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

"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."

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

More BigID Next cons

"The nature of both data processing and start processes often involves varying timeframes for retrieval, mainly dependent on the historical data being accessed. When the request involves pulling information from six months or two years ago, the process may take longer."

"I need more options for virtualization. I know it's good for virtualization, but another product might be easier to work with, like sending to VendCap and Restore."

"I need more options for virtualization."

"Veritas Data Insight's reporting capabilities require enhancement."

"The solution is not lacking any features at this time."

"Its deployment can be a little bit complex. It should be easier to set up. The ease of use of this solution can also be improved, and it could have a cleaner, up-to-date, and intuitive GUI. There are a lot of competitors out there with much nicer GUI and easier setup. It should have a better connection with the cloud sources and much more monitoring. I would like to have a single management interface for on-premises and cloud deployments so that we don't have to switch between them. Its technical support can also be a little bit better."

"Veritas Data Insight can improve the price."

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 solution is expensive."

"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."

"For Veritas Data Insight, the usage is based on a per-terabyte model. The annual cost for this usage is approximately one million dollars. It would be roughly 50,000 dollars to provide a more accurate equivalent."

"Licensing is based on the number of users or the usage in terabytes."

"It is my understanding that the license with one year of support is, per user, around 25 Euros."

"The solution is cost-effective."

"The price of Veritas Data Insight could improve, it is expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

23%

Insurance Company

Computer Software Company

Manufacturing Company

Computer Software Company

14%

Financial Services Firm

10%

Performing Arts

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	5
Large Enterprise	11

No data available

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...

See all answers

What needs improvement with BigID?

One area where BigID can be improved is the UI, which has a lot of bugs. I believe that if they improve their UI experience, that would greatly help. In general, sometimes you see bugs, but there's...

See all answers

What is your primary use case for BigID?

My main use case for BigID includes data discovery and classification, DSAR automation, and data remediation. I use BigID for data discovery and classification in my work by identifying where perso...

See all answers

What do you like most about Veritas Data Insight?

Veritas Data Insight has been instrumental in managing and categorizing data across our storage repository. The tool identifies valuable business data and distinguishes it from non-essential data. ...

See all answers

What is your experience regarding pricing and costs for Veritas Data Insight?

The price in Brazil is not good, however, all tools in Brazil are expensive due to all of the taxes. When compared to others, such as Data Protector, Dell, or other tools, Veritas has a good price.

See all answers

What needs improvement with Veritas Data Insight?

I need more options for virtualization. I know it's good for virtualization, but another product might be easier to work with, like sending to VendCap and Restore. The interface is easier to work w...

See all answers

Comparisons

Cyera vs BigID Next

Compared 17% of the time

Varonis Platform vs BigID Next

Compared 14% of the time

Securiti vs BigID Next

Compared 10% of the time

Microsoft Purview Data Governance vs BigID Next

Compared 9% of the time

OneTrust DataGovernance vs BigID Next

Compared 9% of the time

More BigID Next Competitors

Microsoft Purview Data Governance vs Veritas Data Insight

Compared 36% of the time

Varonis Platform vs Veritas Data Insight

Compared 25% of the time

Netwrix Data Classification vs Veritas Data Insight

Compared 24% of the time

Collibra Platform vs Veritas Data Insight

Compared 15% of the time

More Veritas Data Insight Competitors

Product Reports

Buyer's Guide

BigID Next

January 2026

Download BigID Next product report

Buyer's Guide

Data Governance

January 2026

Download Veritas Data Insight product report

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

Data Insight gives you the analytics, tracking, and reporting necessary to deliver organizational accountability for file use and security. Designed to manage the needs of organizations with petabytes of data and billions of files, Data Insight integrates with archiving and security solutions to prevent data loss and ensure policy-based data retention.

-Automate governance through workflows and customization
-Drive efficiencies and cost savings in your unstructured data environment
-Maintain regulatory compliance for information access, use, and retention
-Protect confidential information from unauthorized use and exposure

Veritas

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments

Information Not Available

Buyer's Guide

BigID Next vs. Veritas Data Insight

December 2025

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