BigID Next vs Veritas Data Insight comparison

BigID and Veritas are both solutions in the Data Governance category. BigID is ranked #4 with an average rating of 8.2, while Veritas is ranked #32. BigID holds a 4.9% mindshare in DG, compared to Veritas’s 1.0% 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

7,653 Views
5,051 Comparison Views

100% willing to recommend

Veritas Data Insight

Read 6 Veritas Data Insight reviews

1,589 Views
1,589 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: April 2026).

Buyer's Guide

BigID Next vs. Veritas Data Insight

April 2026

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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

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)

Veritas Data Insight

Ranking in Data Governance

32nd

Average Rating

9.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2026, in the Data Governance category, the mindshare of BigID Next is 4.9%, down from 7.4% compared to the previous year. The mindshare of Veritas Data Insight is 1.0%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
BigID Next	4.9%
Veritas Data Insight	1.0%
Other	94.1%

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.

Read full review

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…

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

"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 integrates well with our other products."

"The features that I have found most valuable are the user experience, the credentialing, and that BigID is user friendly."

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

"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"

"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

"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."

"Veritas is a well-established company, and it has a long legacy; Veritas solutions have expected stability and flexibility, support most of the flexible solutions in the market, and have support for data protection, data monitoring, and things like that, so in these ransomware times, it is a very important company with good solutions."

"The solution allowed us to handle GDPR and we made sure we were ready and had storage optimization."

"The stability has been great."

"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."

"It's a good solution."

"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."

"I love Veritas support."

More Veritas Data Insight pros

Cons

"One area where BigID can be improved is the UI, which has a lot of bugs."

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

"The tool currently lacks security features."

"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."

"BigID needs improvement in terms of automation."

"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."

"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."

"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."

More BigID Next cons

"Its deployment can be a little bit complex. It should be easier to set up."

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

"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."

"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."

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

"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."

More Veritas Data Insight cons

Pricing and Cost Advice

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

"The solution is expensive."

"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."

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

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

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

"The solution is cost-effective."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Insurance Company

Manufacturing Company

Comms Service Provider

Computer Software Company

12%

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 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

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

What is your primary use case for Veritas Data Insight?

I use it for backup and virtual machines, and the databases are on-premises and in the cloud.

See all answers

Comparisons

OneTrust DataGovernance vs BigID Next

Compared 11% of the time

Cyera vs BigID Next

Compared 9% of the time

Varonis Platform vs BigID Next

Compared 8% of the time

Securiti vs BigID Next

Compared 8% of the time

OneTrust Privacy vs BigID Next

Compared 7% of the time

More BigID Next Competitors

Microsoft Purview Data Governance vs Veritas Data Insight

Compared 21% of the time

Varonis Platform vs Veritas Data Insight

Compared 21% of the time

Netwrix Data Classification vs Veritas Data Insight

Compared 15% of the time

Collibra Platform vs Veritas Data Insight

Compared 12% of the time

NetApp Cloud Data Sense vs Veritas Data Insight

Compared 7% of the time

More Veritas Data Insight Competitors

Product Reports

Buyer's Guide

BigID Next

May 2026

Download BigID Next product report

Buyer's Guide

Data Governance

April 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

Veritas Data Insight offers a centralized platform for rapid backups, data categorization, and compliance, crucial for managing data across environments and securing against threats like ransomware.

Veritas Data Insight is renowned for its stability and flexibility, providing comprehensive data protection and monitoring. It supports compliance and risk management with GDPR adherence, audit trails, and user risk-scoring, efficiently managing data across storage repositories. Though powerful, deployment complexity and GUI intuitiveness could improve. Desired enhancements include better cloud integrations and a single management interface. Pricing and technical support require refinement, and while suitable for virtualization, it might benefit from streamlined reporting capabilities and easier interfaces.

What are the key features?

Ease of Use: Offers a unified console for streamlined operations.
GDPR Compliance: Ensures regulatory compliance with data protection laws.
Data Categorization: Differentiates between valuable and non-essential data.
Audit Trail: Maintains comprehensive records for compliance.
User Risk-Scoring: Provides insights into data security risks.
Rapid Backups: Facilitates quick data backup processes.

What benefits should you look for?

Data Protection: Shields against threats like ransomware with robust security.
Cost Efficiency: Aids in optimizing data management costs.
Flexible Management: Adapts to both on-premises and cloud-based environments.
Enhanced Security: Manages access to sensitive information effectively.

Veritas Data Insight is widely implemented across industries to protect data, secure insights, and manage sensitive information. Organizations structure and classify data using it with environments like Office 365, VMware, and Hyper-V. It aids in comprehensive reporting and forecasting, supporting diverse database types while ensuring secure access management within their file structures and folders.

Veritas

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments

Information Not Available

Buyer's Guide

BigID Next vs. Veritas Data Insight

April 2026

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