BigID Next vs InfoScale comparison

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BigID Next

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Executive Summary

We performed a comparison between BigID Next and InfoScale based on real PeerSpot user reviews.

Find out in this report how the two Data Loss Prevention (DLP) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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

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BigID Next vs. InfoScale

September 2026

Helped 915,341 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 Loss Prevention (DLP)

13th

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Governance (8th), Data Privacy Management Software (1st), Data Security Posture Management (DSPM) (6th), AI Data Analysis (8th), Data Security Platforms (DSP) (1st)

InfoScale

Ranking in Data Loss Prevention (DLP)

19th

Average Rating

8.6

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (25th), High Availability Clustering (1st), Disaster Recovery (DR) Software (13th), Data Storage for Kubernetes (2nd), Autonomous Operational Resilience (4th)

Mindshare comparison

As of October 2026, in the Data Loss Prevention (DLP) category, the mindshare of BigID Next is 2.2%, down from 3.8% compared to the previous year. The mindshare of InfoScale is 0.1%. It is calculated based on PeerSpot user engagement data.

Data Loss Prevention (DLP) Mindshare Distribution
Product	Mindshare (%)
BigID Next	2.2%
InfoScale	0.1%
Other	97.7%

Data Loss Prevention (DLP)

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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TABISH JAVED

Site Reliability Engineer (Certified) at Kyndryl India

Automated recovery has minimized downtime and supports seamless multi‑datacenter failover

Beyond pricing, there are areas where I would like to see InfoScale improved or enhanced. Veritas offers three management approaches. The first, which Veritas currently recommends, is Veritas Operation Manager. The second is the Cluster Manager Java Console graphical interface. The Cluster Manager Java Console has not been revised since version 6.1 or 6.2. This tool was critical for me, particularly valuable when managing small cluster footprints of 20 to 30 server nodes. I relied heavily on this tool, but Veritas has moved away from it in favor of Operation Manager. I recommend Veritas continue evolving this tool rather than discarding it. The third approach is the command line, suitable for individuals with extensive Veritas expertise and experience, but command line use in live environments consumed excessive time, leading me to prefer the graphical interface. Apart from pricing, I have not discovered disadvantages. The product is excellent. My concern is Veritas discarding the Cluster Manager Java Console in favor of Veritas Operation Manager. Setting up Operation Manager requires time and a dedicated server that runs continuously. I had to create a single server just for Veritas Operation Manager. While this works well for larger environments with hundreds of clusters, it is less useful for smaller deployments. I still recommend Veritas reconsider this application and evolve it by incorporating new features from Veritas Operation Manager. Adding these new features to the Java console would be beneficial because that tool runs on my laptop without consuming environment resources, and I can connect directly to clusters from my laptop. I am not opposing Veritas Operation Manager, which is excellent and resembles hardware management consoles for power machines, but smaller tools that previously performed these tasks should remain as options to provide clients with greater ease. From a features and functionality perspective, I do not find missing features in InfoScale at this moment. However, I am not actively using Veritas, managing only legacy machines on older hardware. I am upgrading operating systems but not Veritas due to contract expiration and end-of-life status. The contract is not being renewed because the customer wants to move away. Since I have not logged into VCS since 2021 and transferred responsibilities to another team, I am unaware of features arriving in version 8 or beyond and cannot comment specifically on recent Veritas introductions.

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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

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

"My experience with BigID has been very positive and memorable, as BigID is simple, straightforward, and reliable when it comes to data discovery and data scanning exercises."

"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."

"Although I was serving the client rather than my own organization, BigID has made scans faster and more efficient, and the DSR results are much more accurate."

"BigID integrates well with our other products."

"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 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

"It integrates well with other solutions."

"The best feature in InfoScale is the file system, which is the greatest feature as you can get any storage LUN from any hardware because it's software-defined and create a volume that can consist of storage from two or more different vendors, which avoids any vendor lock-in and makes it easier when you expand as time goes."

"InfoScale does that all by itself without any dependency on different solutions."

"It's a stable solution."

"The best feature is that it supports high availability and automatic failover, which minimizes downtime and helps the environment reduce downtime and improve high availability for critical applications."

"InfoScale's ability to maintain data integrity and availability during a cyber event such as a ransomware attack is excellent."

"From a recovery standpoint, InfoScale is excellent and easy to manage."

"It offers High Availability for many applications, including Oracle and SAP environment."

More InfoScale pros

Cons

"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."

"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."

"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."

"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."

"More classifications about different states are needed"

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

More BigID Next cons

"My experience with pricing, setup cost, and licensing indicates that pricing is a little higher and should be reduced since most companies cannot afford it."

"While InfoScale is mainly used by enterprise-level customers, it does not inherently support many applications, which presents a scalability issue."

"The primary concern is licensing cost, as the customer is unwilling to invest further and has begun cost-cutting measures."

"Based on my experience with support, I would rate them a nine, only because occasionally the first person I talk to does not know more than I do and it needs to be escalated to reach someone more knowledgeable."

"It's very difficult to implement."

"My experience with pricing, setup cost, and licensing is that it is a bit expensive, but rather than that, because it is used in critical environments with no competitor, most of the customers go for it anyways."

"It could be more stable and more secure."

"Many customers can see the benefit of InfoScale, but they are usually not able to purchase the product because the license cost is very high."

More InfoScale cons

Pricing and Cost Advice

"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."

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

"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."

"Our clients pay for licensing on a yearly basis."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Manufacturing Company

11%

Insurance Company

Comms Service Provider

Financial Services Firm

18%

Manufacturing Company

Outsourcing Company

Media Company

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	4
Large Enterprise	6

Questions from the Community

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 advice do you have for others considering BigID?

I have covered information regarding data scanning, data classification, and the DSAR module, as these are the parts I have worked on, apart from developing custom connectors for a few data sources...

What is your experience regarding pricing and costs for Veritas InfoScale Availability?

My experience with pricing, setup cost, and licensing is that it is a bit expensive, but rather than that, because it is used in critical environments with no competitor, most of the customers go f...

What needs improvement with Veritas InfoScale Availability?

InfoScale can be improved if it added more robust reporting features; it has reporting, but it is very simple. If it created an integration with a reporting tool that makes it official, customers c...

What is your primary use case for Veritas InfoScale Availability?

My main use case for InfoScale is that we use it in many scenarios. In some scenarios, we use it for clustering for a product like Enterprise Vault, using InfoScale Enterprise, where we handle the ...

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Product Reports

Download BigID Next product report

BigID Next

October 2026

Download InfoScale product report

September 2026

Also Known As

No data available

Veritas InfoScale Availability, Arctera InfoScale for Kubernetes

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

InfoScale delivers robust data availability and protection for enterprises by managing critical workloads across hybrid cloud environments, ensuring minimal downtime and seamless performance.

InfoScale is designed to enhance data resilience and operational efficiency. By enabling quick data access across hybrid infrastructures, it reduces potential downtime and enhances business continuity. Its scalable architecture adapts to dynamic workloads, providing reliable performance under pressure while maintaining seamless integration with cloud-based solutions.

What are the key features of InfoScale?

Data Resiliency: Ensures continuous data availability through advanced clustering and replication technologies.
Scalability: Supports dynamic scaling to meet changing demands without compromising performance.
Cloud Integration: Offers seamless transition and operation within cloud environments.
Automated Operations: Streamlines management processes with automation to reduce manual intervention.

What benefits and ROI should users consider?

Increased Uptime: Improved reliability translates to reduced business interruption.
Cost Efficiency: Potentially lowers operational costs through optimized resource allocation.
Enhanced Security: Provides robust protection measures for critical data assets.
Operational Agility: Facilitates swift adaptation to evolving business requirements.

InfoScale is particularly effective in sectors such as healthcare and finance where data integrity and uptime are crucial. Its implementation empowers industries to handle data-intensive operations efficiently, ensuring continuity and compliance with industry standards.

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments

Wayne State University, Zenith Mart