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BigID Next vs Couchbase Capella 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 AI Data Analysis
3rd
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
Data Loss Prevention (DLP) (8th), Data Governance (4th), Data Privacy Management Software (1st), Data Security Posture Management (DSPM) (4th)
Couchbase Capella
Ranking in AI Data Analysis
26th
Average Rating
7.6
Reviews Sentiment
7.5
Number of Reviews
2
Ranking in other categories
Database as a Service (DBaaS) (16th)
 

Mindshare comparison

As of May 2026, in the AI Data Analysis category, the mindshare of BigID Next is 0.9%, down from 20.7% compared to the previous year. The mindshare of Couchbase Capella is 0.5%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
BigID Next0.9%
Couchbase Capella0.5%
Other98.6%
AI Data Analysis
 

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.
SupriyaKulkarni - PeerSpot reviewer
Devops Specialist at Amdocs
Good GUI, easy to learn, and simple to install
The architecture is complex. I do understand that. However, the GUI is very user-friendly. Sometimes all these things are a little difficult to understand for a person who is not experienced in Couchbase. There is a constant requirement to upgrade the versions. We need to constantly keep on upgrading the latest version for the newest one. Currently, we are dealing with an issue where some of the servers are on the 6.5 version, and a few have moved to 7.5. So we are in a mixed mode right now. We are having a high IO issue on our servers, which we are already dealing with. We have these cases with Couchbase, with Red Hat, et cetera. We feel like this constant need to upgrade is something that is very mundane yet a very difficult task. If you have three clusters, which have around thirty nodes, the data is quite sensitive. Whenever there is Couchbase upgrade that is going on, we see that our SR is dropped. The purchase rate and success rate drop. This affects our business and the clients. Rebalancing could be improved. I find it to be a very slow process when it comes to rebalancing the clusters. If you talk about other architectures like Oracle, they are pretty fast. Couchbase is a little slower. Rebalancing, taking the node out, doing the upgrade, putting it back, rebalancing it, is a very difficult and cumbersome. For Oracle, we have been running on version 19.5 for the past five years. There were absolutely no issues. Yet for Couchbase, every six months, we have to go do the upgrade.

Quotes from Members

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

Pros

"BigID integrates well with our other products."
"The best feature that BigID offers is data discovery and classification, which is the most powerful engine, allowing connection to many different data sources ranging from cloud to on-premises and from structured to unstructured data, with the ability to build your own classifiers if no connector is available."
"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."
"BigID's scanning feature is its most valuable component."
"BigID is more advanced than Microsoft Purview when it comes to machine learning and AI development tools."
"It provides a unified view across different databases and supports a wide range of data source types, including cloud and on-premises systems."
"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 features that I have found most valuable are the user experience, the credentialing, and that BigID is user friendly."
"The initial setup was straightforward."
"The way the nodes are managed is interesting."
 

Cons

"BigID's user interface was problematic as it was not very user-friendly, though I believe it improved over time."
"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."
"The tool currently lacks security features."
"There are some shortcomings when it comes to Calvirus authentication, which is not yet supported by BigID."
"Improvement could be made in data consent management and data privacy impact assessment."
"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."
"One area where BigID can be improved is the UI, which has a lot of bugs."
"The product could be improved by including a log section for tracking activities, enhancing database integration, and providing more transparency regarding pricing and monitoring activities."
"Rebalancing could be improved."
 

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."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
8%
Insurance Company
8%
Comms Service Provider
6%
Construction Company
19%
Computer Software Company
14%
Performing Arts
9%
Manufacturing Company
9%
 

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 Couchbase Capella?
The architecture is complex. I do understand that. However, the GUI is very user-friendly. Sometimes all these things are a little difficult to understand for a person who is not experienced in Cou...
What is your primary use case for Couchbase Capella?
The solution is basically used to support our ordering system, which generates a huge number of orders for our customers.
What advice do you have for others considering Couchbase Capella?
We are Counchbase customers. Depending on your application, it is good to use Couchbase where you have high OLTP systems where you know there will be constant data loading, deleting, et cetera, hap...
 

Interactive Demo

Demo not available
 

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. Couchbase Capella and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.