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BigID Next vs Tech 42 AI Agent Starter Pack built with AgentCore 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
8th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
15
Ranking in other categories
Data Loss Prevention (DLP) (12th), Data Governance (8th), Data Privacy Management Software (1st), Data Security Posture Management (DSPM) (6th)
Tech 42 AI Agent Starter Pa...
Ranking in AI Data Analysis
210th
Average Rating
10.0
Number of Reviews
2
Ranking in other categories
AI Observability (35th), AI Content Creation (74th)
 

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.
NP
Vice President of Information Technology at a consumer goods company with 201-500 employees
AI foundation has accelerated deployment of internal knowledge agents on existing cloud infrastructure
I am exploring creating AI agents for multiple internal company knowledge repositories This product significantly accelerated our ability to deploy an AI agent within our AWS infrastructure. Instead of spending time designing architecture, wiring up memory, guardrails, and tool integrations, I…

Quotes from Members

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

Pros

"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."
"The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers."
"It provides a unified view across different databases and supports a wide range of data source types, including cloud and on-premises systems."
"BigID is more advanced than Microsoft Purview when it comes to machine learning and AI development tools."
"BigID's scanning feature is its most valuable component."
"BigID integrates well with our other products."
"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 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."
"This is an extremely easy way to start with an AI agent that includes components necessary for production-ready use."
"Instead of spending time designing architecture, wiring up memory, guardrails, and tool integrations, I was able to establish an AI foundation in a matter of hours."
 

Cons

"BigID's user interface was problematic as it was not very user-friendly, though I believe it improved over time."
"One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur."
"More classifications about different states are needed"
"One area where BigID can be improved is the UI, which has a lot of bugs."
"The tool currently lacks security features."
"BigID is expensive. I prefer McAfee."
"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."
"It would be nice to be able to run the CloudFormation stacks in other AWS regions."
"Additional frameworks would be good to add."
 

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."
"I think that BigID's pricing is very reasonable."
"The solution is expensive."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
10%
Insurance Company
8%
Comms Service Provider
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 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 is your experience regarding pricing and costs for Tech 42 AI Agent Starter Pack built with AgentCore?
There is no upfront cost for the product, and expenses are limited to pay-as-you-go AWS infrastructure and AI model consumption.
What needs improvement with Tech 42 AI Agent Starter Pack built with AgentCore?
It would be nice to be able to run the CloudFormation stacks in other AWS regions.
What is your primary use case for Tech 42 AI Agent Starter Pack built with AgentCore?
I am exploring creating AI agents for multiple internal company knowledge repositories.
 

Comparisons

No data 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. Tech 42 AI Agent Starter Pack built with AgentCore and other solutions. Updated: June 2026.
902,894 professionals have used our research since 2012.