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BigID Next vs Informatica Intelligent Data Management Cloud 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)
Informatica Intelligent Dat...
Ranking in AI Data Analysis
297th
Average Rating
7.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

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.
RS
Senior Delivery Architect at Capgemini
Improved data migration has supported governance and AI matching yet still needs smoother self-service
I would not characterize it as a drawback, but there are a few things which were good at that time but have now become stable. The older transformations that have degraded now have to be changed. I would not say it has to be something that needs to be updated or upgraded, but the bottom line is there needs to be updates for data migration and all that. Multiple companies, including my consulting service firm, have created accelerators for upgrading those things. Ultimately, I would say that it is still stable. If there is nothing to be updated or created, then our job would be done. I would say it is mixed regarding self-service data preparation features for non-technical users, as it is a tool that has been around for a long time. There is a significant amount of information on the internet to help us out, including many KB articles. However, I would suggest to Informatica that there should be a different approach in providing KB articles and information. The information should be provided in a seamless way for the entire functions, not in bits and pieces across different places. For instance, if I need to create a data model, the entire process flow, including database objects, entity objects, business entities, entity views, and all that should be presented in that particular direction as a project situation, rather than scattered across plain sections.

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."
"The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers."
"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."
"Data classification is highly effective due to its automatic capabilities."
"BigID's scanning feature is its most valuable component."
"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."
"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."
"Informatica Intelligent Data Management Cloud has pretty good services to handle data governance, data lineage, and data management."
"Ultimately, I would say Informatica is still leading in the entire MDM space with multiple different users."
 

Cons

"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."
"I want them to focus on data mapping, assessment, automation workflow, and privacy incident management. The privacy tools have not been widely used, and they have not invested much in privacy code privacy tools."
"More classifications about different states are needed"
"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."
"One improvement I would suggest is addressing the intermittent failures of BigID scans, as there are times when some errors occur."
"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."
"Improvement could be made in data consent management and data privacy impact assessment."
"There are some shortcomings when it comes to Calvirus authentication, which is not yet supported by BigID."
"For Informatica Intelligent Data Management Cloud in general, as a product and service, I would rate it somewhere between seven to seven point five, particularly for the AI part because it is still new and still needs multiple refinements and efficiencies."
"I have not seen any return on investment at the moment or any tangible benefits so far."
 

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 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."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
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 Informatica Intelligent Data Management Cloud?
I am not sure about the pricing side of Informatica Intelligent Data Management Cloud. That is something a different team works on.
What needs improvement with Informatica Intelligent Data Management Cloud?
I would like to have more AI capabilities. Looking at AI and the market AI currently has, AI capabilities will definitely help.
What is your primary use case for Informatica Intelligent Data Management Cloud?
I cannot disclose use cases because that is something confidential we have. However, services-wise, I can say that Informatica Intelligent Data Management Cloud has very good services for data gove...
 

Comparisons

No data available
 

Overview

 

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments
Information Not Available
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