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BigID Next vs Druva Data Security Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 22, 2026

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 Security Posture Management (DSPM)
4th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
Data Loss Prevention (DLP) (7th), Data Governance (6th), Data Privacy Management Software (2nd), AI Data Analysis (2nd)
Druva Data Security Cloud
Ranking in Data Security Posture Management (DSPM)
16th
Average Rating
8.6
Reviews Sentiment
6.2
Number of Reviews
3
Ranking in other categories
Cloud Backup (37th), Disaster Recovery as a Service (9th), SaaS Backup (20th)
 

Mindshare comparison

As of January 2026, in the Data Security Posture Management (DSPM) category, the mindshare of BigID Next is 5.6%, down from 6.0% compared to the previous year. The mindshare of Druva Data Security Cloud is 0.4%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Security Posture Management (DSPM) Market Share Distribution
ProductMarket Share (%)
BigID5.6%
Druva Data Security Cloud0.4%
Other94.0%
Data Security Posture Management (DSPM)
 

Featured Reviews

Aniruddha Nath - PeerSpot reviewer
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.
Rupesh Verma - PeerSpot reviewer
Founder, Owner at Xdev Studios
Central console has simplified multi-region deployments and now supports quick customer insights
Druva Data Security Cloud is used with AWS cloud and is public only, with AWS serving as the backend infrastructure. The customer never receives billing for AWS, as the customer receives billing from Druva only.From my perspective, Druva Data Security Cloud is a mature product that uses AWS backup as a backend solution and is available on AWS Cloud. This product is mature, and we do not need to hesitate about it, as it has wider acceptance in the market. AI-driven analytics in Druva Data Security Cloud help to optimize data security by providing correct suggestions and prioritizing action. Given the amount of data security products available and the sprawl of information and tickets that get raised with various concerns that come up, AI is definitely necessary to drill down.

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."
"It provides a unified view across different databases and supports a wide range of data source types, including cloud and on-premises systems."
"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."
"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."
"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."
"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."
"The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers."
"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."
"The most valuable feature of Druva is that it can detect changes in files or laptops and perform incremental backups."
"The centralized management console in this solution and AI-driven analytics are good features."
"From my perspective, Druva Data Security Cloud is a mature product that uses AWS backup as a backend solution and is available on AWS Cloud."
"Over the past five years, I haven't experienced any issues or problems with Druva."
 

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."
"I want them to focus on data mapping, assessment, automation workflow, and privacy incident management."
"There are some shortcomings when it comes to Calvirus authentication, which is not yet supported by BigID."
"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."
"One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur."
"There are some shortcomings when it comes to Calvirus authentication, which is not yet supported by BigID."
"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."
"I suggest improvements in the time it takes to restore data."
"I suggest improvements in the time it takes to restore data."
"They can improve their product quality for Salesforce as they don't have the capability to run that business without Technobind."
"I would rate Druva Data Security Cloud an eight on a scale from one to ten because there are better solutions available in the market in terms of security that give a better stack."
 

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."
"The solution is expensive."
"I think that BigID's pricing is very reasonable."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Insurance Company
9%
Computer Software Company
8%
Manufacturing Company
6%
University
21%
Healthcare Company
9%
Energy/Utilities Company
9%
Insurance Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Large Enterprise11
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...
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 needs improvement with Druva Data Security Cloud?
They could integrate an EDR tool during backup. By integrating with that tool, they could easily rectify cyberattacks, miscellaneous attacks, and ransomware. It can prevent ransomware when data is ...
What is your primary use case for Druva Data Security Cloud?
The typical use case for Druva Data Security Cloud is for backup protection, which prevents ransomware and multiple security threats. The architecture is not complex.
 

Overview

 

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments
Information Not Available
Find out what your peers are saying about BigID Next vs. Druva Data Security Cloud and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.