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BigID Next vs Logikcull comparison

 

Comparison Buyer's Guide

Executive Summary

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
7th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
Data Loss Prevention (DLP) (11th), Data Governance (8th), Data Privacy Management Software (1st), Data Security Posture Management (DSPM) (5th), Data Security Platforms (DSP) (1st)
Logikcull
Ranking in AI Data Analysis
353rd
Average Rating
7.6
Number of Reviews
2
Ranking in other categories
eDiscovery (14th), Investigation Management Software (1st), AI Legal & Compliance (136th)
 

Mindshare comparison

As of August 2026, in the AI Data Analysis category, the mindshare of BigID Next is 0.7%, down from 23.3% compared to the previous year. The mindshare of Logikcull is 0.0%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
BigID Next0.7%
Logikcull0.0%
Other99.3%
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.
VS
Senior Paralegal at Wilenchik & Bartness Law Office
Powerfully simple legal software for processing, reviewing, and producing data
First of all, uploading the documents is super easy. You just throw it in a zip, and unless it's a PST, then you can throw it in directly. The process of tagging, and searching. It's got a greatly intuitive, advanced search mechanism. The best part of all is just the downloading of the actual Bates stamped documents, and then sharing them with other people. Then you can see when the other party has accessed it. So if they say, "I never got it." Then you can say, "Yeah, you did here. Here, you accessed it on this day at this time. So you did." It's like a date and time stamp. The dashboards are gorgeous. They have helped me through so many possibilities — I could talk all day about Logikcull. When you're getting ready to produce, it will say "You have things that are marked privileged." Or "You have things that are potentially privileged." What Logikcull does is gather as many email addresses for law firms in the world as possible. They will gather those email addresses, and then if there are any of those email addresses that come up, they will say, "These are potentially privileged. You might want to look at them before you produce them." They've got a good quality control mechanism within the program too. Eclipse SE doesn't because it's server-based, so you have to do quality control on your own. There's this built-in "Wait a minute. Don't produce, look at this first, before you do the production." It has really saved me a couple of times.

Quotes from Members

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

Pros

"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."
"BigID has one of the best technical support teams."
"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."
"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."
"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."
"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."
"The data classification offered by the tool can help companies improve their security strategy"
"The most valuable feature which I found was that it was very user-friendly."
"The most valuable feature which I found was that it was very user-friendly. It's a very new age-friendly tech for uploading the data into the software. It also has a wonderful representation of data in terms of dashboards and pivot charts where you get your data represented in various angles and projections."
"Uploading the documents is super easy. You just throw it in a zip, and unless it's a PST, then you can throw it in directly."
"Logikcull has been a huge time saver."
 

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."
"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."
"Improvement could be made in data consent management and data privacy impact assessment."
"One concern I have with BigID is regarding certain scans, like the multi-scan. The issue is that we can stop and retrieve these scans, but once they start, they go through an enumeration process."
"BigID's user interface was problematic as it was not very user-friendly, though I believe it improved over time."
"BigID needs improvement in terms of automation."
"BigID is expensive. I prefer McAfee."
"One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur."
"If you have extensive litigation projects involving many clients, you might want to go for the standard tools like Relativity."
"It would be better if they could include a technology-assisted review feature, which brings artificial intelligence into the cloud and the system itself. It would be great savings in terms of time and costs as you won't have a person manually going into a dense asset of documents and doing it."
"The guys over at Logikcull will do everything possible to avoid a screen-share — they do everything via text."
 

Pricing and Cost Advice

"I think that BigID's pricing is very reasonable."
"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 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 product is expensive, but so are all competitor tools"
"The solution is expensive."
"Logikcull is very expensive. I wish it were less expensive."
"The cost depends on the case size of the data and the number of projects they're expecting to encounter. If it's small to medium-sized, this tool will be very good because it has a pay-as-you-go feature instead of an hourly billing rate, where they bill you every hour, and you have to go through the structure from beginning to end."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
10%
Insurance Company
8%
Comms Service Provider
6%
University
18%
Construction Company
15%
Legal Firm
13%
Financial Services Firm
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 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...
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Comparisons

 

Overview

 

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments
Williams, Veolia, Salesforce, NYC, The Sierra Club Foundation, Unisys, Zenefits, Airgas, Haynes Boones, Earth Justice
Find out what your peers are saying about BigID Next vs. Logikcull and other solutions. Updated: June 2026.
909,153 professionals have used our research since 2012.