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BigID Next vs Segment comparison

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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:
 

ROI

Sentiment score
7.3
BigID Next offers strong ROI through compliance, data management integration, cost savings, automation, and reduced staffing, avoiding fines.
Sentiment score
6.1
Segment enhances personalized marketing, data integration, and conversion rates, achieving higher revenue, engagement, and ROI with reduced costs.
It is one of the best tools in the market.
Senior Manager at KPMG
We have seen returns across all three aspects: fewer employees needed, money saved, and time saved with BigID.
Senior Security Consultant at a consultancy with 10,001+ employees
I have seen a return on investment from using BigID, particularly as it is a regulatory and compliance tool that helps avoid potential penalties for non-compliance.
Senior Security Consultant at a consultancy with 10,001+ employees
Engineering effort related to data integration and tracking maintenance decreased by roughly 40 to 50%.
Senior Quality Analyst at a consultancy with 51-200 employees
If, for example, I made about 5,000 people who had already purchased not be targeted by advertising, I was saving a considerable amount of money that could be around €10,000 to €15,000.
Ecommerce Director at a transportation company with 51-200 employees
It's hard to quantify exactly the hours spent, but from that abandoned basket flow, it was something around seven million DKK that has been made since we launched it.
Web and marketing automation specialist at a logistics company with 5,001-10,000 employees
 

Customer Service

Sentiment score
6.9
BigID Next's support is praised for responsiveness, efficiency, and high customer satisfaction, despite occasional delays and time-consuming initial contact.
Sentiment score
6.9
Segment's customer service is praised for responsiveness and knowledge, despite some delays, with generally positive ratings.
BigID has one of the best technical support teams.
Senior Manager at KPMG
I would rate the customer support a six because you cannot directly reach out to L3 or L2 support if there's a major issue.
Senior Security Consultant at a consultancy with 10,001+ employees
developing the custom connectors was relatively easy because of the courses I attended at BigID University and the support given by the BigID engineering team.
Senior Security Consultant at a consultancy with 10,001+ employees
Segment's customer support is amazing.
Web and marketing automation specialist at a logistics company with 5,001-10,000 employees
At our initial phase, whenever I required any help related to the setup, I contacted them and they provided me with the solution in very little time.
Senior Quality Analyst at a consultancy with 51-200 employees
I received my reply from Segment support team within 24 hours.
Senior Product Manager at Optiblack
 

Scalability Issues

Sentiment score
6.9
BigID Next is scalable with mixed opinions, excelling in large environments but facing data handling and presentation challenges.
Sentiment score
6.3
Segment efficiently handles scalability, managing high traffic and datasets, adapting well to increased user demands without major changes.
I have added very large data sources to the BigID environment, and it remains stable.
Senior Security Consultant at a consultancy with 10,001+ employees
BigID is scalable, allowing you to purchase as many scanners as you want.
Senior Security Consultant at a consultancy with 10,001+ employees
As our user base, event volumes, and number of integrations increased over time, Segment was able to handle the additional load without requiring any major architectural changes from our side.
Senior Quality Analyst at a consultancy with 51-200 employees
Segment's scalability can be measured in terms of transaction volume, which it handled very well for us in terms of millions of records.
It should be flexible and robust enough when it comes to handling different streams of data once the product is set up.
Product Manager at a university with 10,001+ employees
 

Stability Issues

Sentiment score
7.5
BigID Next is often seen as reliable with some stability concerns but praised for data security and ease of use.
Sentiment score
8.4
Segment reliably manages large volumes efficiently with strong uptime, minimizing disruptions and avoiding Friday deployments to ensure stability.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
Senior Associate - IT Governance and Compliance at Fulcrum Digital Inc
I have not experienced any critical outages directly impacting our business operations.
Senior Quality Analyst at a consultancy with 51-200 employees
Segment is very stable with no major issues encountered.
Engenheiro de Software at a outsourcing company with 10,001+ employees
 

Room For Improvement

BigID Next needs enhancements in file access, security, automation, UI navigation, deployment, data governance, and support features.
Segment needs enhanced integration, simplicity, customization, and flexibility, with improvements in identity management, AI, onboarding, and scalability.
There is also an issue with incident tagging, where all objects get tagged without an option to untag specific ones, and reverting changes is only possible through MongoDB Central, which can lead to data loss for certain periods.
Senior Associate - IT Governance and Compliance at Fulcrum Digital Inc
I want them to focus on data mapping, assessment, automation workflow, and privacy incident management.
Senior Manager at KPMG
BigID deserves recognition for the data discovery part, which has been wonderful and quite accurate, along with the confidence level process that allows us to fine-tune results for better accuracy from the database.
Assistant Manager - Cyber : Digital Privacy and Trust at Deloitte
More flexibility in pricing models or clear scaling options would make it easier for mid-sized companies to expand usage without significant budget concerns.
Senior Quality Analyst at a consultancy with 51-200 employees
Ask the difficult questions to Segment about how the data will be used from a storage perspective and from a processing perspective.
Product Manager at a university with 10,001+ employees
Segment needs better integration with, or a much simpler integration with, external tools.
Ecommerce Director at a transportation company with 51-200 employees
 

Setup Cost

BigID Next offers premium, capacity-based pricing; valued by large enterprises for advanced features, less feasible for smaller businesses.
Segment's pricing is high but valuable for growing enterprises, with licensing restrictions and costly penalties for exceeded usage.
BigID might be expensive as it involves various paid services, like data retention and graphic rights management.
Senior Associate - IT Governance and Compliance at Fulcrum Digital Inc
The pricing is competitive in the market, however, I need to ask for the right price.
Senior Manager at KPMG
revealing that Segment is much cheaper, particularly regarding premium licensing.
Data Manager API at a tech vendor with 51-200 employees
It is relatively cheap and very useful at that price point.
Owner and Founder
The cost is very high, but it is worth it.
Ecommerce Director at a transportation company with 51-200 employees
 

Valuable Features

BigID Next offers a user-friendly design, seamless Microsoft integration, and powerful data discovery, classification, and protection capabilities.
Segment streamlines data integration and personalization, enhancing efficiency and scalability while reducing complexity and optimizing campaigns.
One of the best features of BigID is its strength in data discovery and governance.
Senior Manager at KPMG
BigID simplifies things by integrating both data protection and data privacy in one environment, making it easier for end users.
Senior Security Consultant at a consultancy with 10,001+ employees
The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers.
Senior Associate - IT Governance and Compliance at Fulcrum Digital Inc
I think predictive audiences require a 360 view of the customer in order to create these types of AI audiences because they use a lot of different data points.
Web and marketing automation specialist at a logistics company with 5,001-10,000 employees
Segment has improved our data quality and our ease of collection, and most importantly, it has saved us time by not having to maintain a custom tool for server-side tracking.
Data Engineer at a consultancy with 10,001+ employees
Segment has positively impacted my organization by reducing implementation time to one-third of what it previously took.
Senior Product Manager at Optiblack
 

Categories and Ranking

BigID Next
Ranking in Data Governance
8th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
Data Loss Prevention (DLP) (12th), Data Privacy Management Software (1st), Data Security Posture Management (DSPM) (5th), AI Data Analysis (8th), Data Security Platforms (DSP) (1st)
Segment
Ranking in Data Governance
11th
Average Rating
7.8
Reviews Sentiment
6.2
Number of Reviews
15
Ranking in other categories
Web Analytics (3rd), Customer Data Platforms (CDP) (1st)
 

Mindshare comparison

As of September 2026, in the Data Governance category, the mindshare of BigID Next is 4.1%, down from 6.7% compared to the previous year. The mindshare of Segment is 0.7%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
BigID Next4.1%
Segment0.7%
Other95.2%
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.
Thiago Vernizzi - PeerSpot reviewer
Engenheiro de Software at a outsourcing company with 10,001+ employees
Behavioral insights have powered personalized investor journeys and data-driven campaigns
I have not used Segment for more than a year, so I am not aware of its current evolution, but I know there was a migration from Segment to Adobe as a strategic decision by XP bank, which pointed out unified databases as an improvement area compared to Segment, where they effectively utilized AI for creative marketing campaign generation. The necessary improvements in Segment based on my experience focus on providing more tools for the marketing team, particularly using AI to create campaigns through images and short videos, enhancing communication with end customers via offer banners in a more automated and effective manner.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
11%
Insurance Company
7%
Comms Service Provider
7%
Outsourcing Company
14%
University
9%
Financial Services Firm
9%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Large Enterprise11
By reviewers
Company SizeCount
Small Business7
Midsize Enterprise1
Large Enterprise6
 

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 needs improvement with Segment?
I think Segment can improve in terms of identity management, possibly in some of the protocols by adding more flexibility. I also see the need for more free-form searches such as regex or condition...
What is your primary use case for Segment?
My main use case for Segment is as a CDP to create a centralized view of the customer and help integrate the activation of audiences to downstream services. A specific example of how I use Segment ...
 

Comparisons

 

Also Known As

No data available
Segment.io
 

Overview

 

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments
Nokia, rdio, Bonobos, LiveNation, Atlassian
Find out what your peers are saying about BigID Next vs. Segment and other solutions. Updated: September 2026.
913,683 professionals have used our research since 2012.