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BigID Next vs Zaloni Data Platform 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 Governance
6th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
Data Loss Prevention (DLP) (7th), Data Privacy Management Software (2nd), Data Security Posture Management (DSPM) (4th), AI Data Analysis (2nd)
Zaloni Data Platform
Ranking in Data Governance
38th
Average Rating
6.6
Number of Reviews
2
Ranking in other categories
Data Preparation Tools (13th)
 

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 Zaloni Data Platform is 0.7%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Market Share Distribution
ProductMarket Share (%)
BigID Next5.3%
Zaloni Data Platform0.7%
Other94.0%
Data Governance
 

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.
reviewer1476264 - PeerSpot reviewer
Solution Architect at a financial services firm with 10,001+ employees
Solid multi-ingestion tool but with poor exception handling
The major pain point with Zaloni is that their exception handling is not good. If any event happens (an event is when the job stops in the middle of the process), it doesn't tell you at which point it failed and it doesn't tell the operations team how they should take corrective actions unless you call Zaloni and then identify the issues. That is one issue. Another issue is that sometimes your jobs fail and if you run it a second time, it will go through. A third area it could be improved is the deployment process. When you want to deploy anything, it has a lot of manual processes. For example, you have to create your password in an encrypted format, and then you have to use a lot of manual deployment process. They should actually be building something else, like using Jenkins or automating their process. I have suggested to them that they have to improve their deployment process because they want everyone to run a manual deployment. It takes a lot of time, about half a day, for any single deployment. Then test it, then it might not work, and then reverting back is not easy because of the manual deployment process. I think in recent versions they added a lot of upgrades and additional features including a lot of integrations. Before it was just AWS, later they extended it to Azure. I'm not sure how they have extended it to GCP. It has some built-in features and a lot of improvements now because the UI and the features were not easy to navigate. Regarding showing the metrics, it's okay. I will say it's neither easy nor hard, there is whatever is required. Lastly, on the governance side, it's not very good. We faced some issues with the Ranger version. Ranger was an authentication tool on big data and Zaloni had some compatibility issues with the Ranger at that time. Later they said those are all going to be resolved, but at that time it had some issues. I'm not sure whether it was working with the Sentry or not.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"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."
"The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers."
"Data classification is highly effective due to its automatic capabilities."
"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."
"BigID has one of the best technical support teams."
"The data classification offered by the tool can help companies improve their security strategy"
"You can create a lot of ingestions based on the file levels or based on the time."
"The most valuable feature is the ability to map data and write workflows with logic inside them."
 

Cons

"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."
"BigID's user interface was problematic as it was not very user-friendly, though I believe it improved over time."
"More classifications about different states are needed"
"One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur."
"Improvement could be made in data consent management and data privacy impact assessment."
"One area where BigID can be improved is the UI, which has a lot of bugs."
"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."
"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."
"Technical support is in need of improvement."
"The major pain point with Zaloni is that their exception handling is not good. If any event happens, it doesn't tell you at which point it failed and it doesn't tell the operations team how they should take corrective actions unless you call Zaloni and then identify the issues. That is one issue."
 

Pricing and Cost Advice

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

By visitors reading reviews
Financial Services Firm
22%
Insurance Company
9%
Computer Software Company
8%
Retailer
6%
No data available
 

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...
Ask a question
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Comparisons

 

Also Known As

No data available
ZDP
 

Overview

 

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments
CDS Global, AIG,
Find out what your peers are saying about BigID Next vs. Zaloni Data Platform and other solutions. Updated: December 2025.
881,346 professionals have used our research since 2012.