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BigID vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 3, 2024

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
Ranking in Data Governance
8th
Average Rating
8.0
Reviews Sentiment
7.4
Number of Reviews
10
Ranking in other categories
Data Privacy Management Software (3rd), Data Security Posture Management (DSPM) (7th)
Informatica Intelligent Dat...
Ranking in Data Governance
2nd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
181
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (7th), Business-to-Business Middleware (3rd), API Management (7th), Cloud Data Integration (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (1st), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (2nd), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Featured Reviews

Scott Margolis - PeerSpot reviewer
Commendable and robust data-centric tool
The initial setup is complex. There's a nuance to it, and that's one of the things that's been interesting as the technologies evolve. It's not complex in and of itself. You can install it quickly and attach data quickly. The complexity arises because most organizations I've worked with are thinking about their data for the first time. So, while installing the software and operationalizing it is easy, the onboarding and understanding of the data, design, legacy systems, and everything from Oracle to side-based to MS Access, that's where it gets tricky. They need to catalog, correlate, combine, rationalize, and really think through it all. So, the software itself is easy to implement and operate. But the operational side, from the client's perspective, requires a commitment. It's like buying a circular saw and expecting to build a house. The tool will take you some of the way, but if you don't have the underlying knowledge, you're going to struggle.
Raj Sethupathi - PeerSpot reviewer
Offers profiling and address standardization but can be complicated
Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.

Quotes from Members

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

Pros

"The data classification offered by the tool can help companies improve their security strategy"
"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."
"BigID integrates well with our other products."
"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."
"BigID's scanning feature is its most valuable component."
"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 features that I have found most valuable are the user experience, the credentialing, and that BigID is user friendly. Additionally, you can deploy to several other Microsoft platforms and you can use it for other things, like a bigger element or a report."
"Data synchronization tasks."
"The solution's technical support is pretty good, especially since the turnaround time is good."
"We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors."
"The solution offers good data governance."
"The most valuable feature is data discovery. This is the most exciting feature for all of the banks."
"The Provisioning tool is something that is really handy for everyone. It is my pick as the best feature."
"It's helpful in integration, and it can be moved around in SharePoint. So, from the SharePoint View, data integration and reporting, it help a lot in that way."
"It is quite easy to use and flexible."
 

Cons

"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 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."
"The tool currently lacks security features."
"Improvement could be made in data consent management and data privacy impact assessment."
"More classifications about different states are needed"
"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."
"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."
"BigID is expensive. I prefer McAfee."
"While my company operates on the cloud, we have seen that Informatica Cloud Data Integration has some performance issues causing it to lag."
"I would like to see better visuals for business users, such as a dashboard where they can precisely track where problems are."
"We would like to have accessibility to the repository."
"Once the data is masked, we won't be able to reverse it back to its original value."
"Informatica Axon's response times and certain aspects of the admin panel could be enhanced for better usability."
"They could improve technical support because it is not good enough at the moment."
"IEDC can improve the comparison of lineages."
"Database access is highly restricted particularly if you're using the cloud version."
 

Pricing and Cost Advice

"The product is expensive, but so are all competitor tools"
"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."
"I think that BigID's pricing is very reasonable."
"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."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"It's a very expensive solution"
"We saw an ROI. We have been able to get data from various sources and consolidate it into a data lake, which is helping us in data analytics."
"The pricing is high compared to other tools on the market."
"The product is not very pocket-friendly for small and medium-sized businesses, and it is understandable because of the kind of features the tool gives."
"The price is very high and has become a big concern for our customers who require the solution in order for their business to function smoothly."
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Top Industries

By visitors reading reviews
Financial Services Firm
26%
Computer Software Company
10%
Insurance Company
8%
Manufacturing Company
7%
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
BigID needs improvement in terms of automation. Its automation capabilities are limited compared to Purview. While BigID can generate outcomes, it is not adept at automating business processes, whi...
What is your primary use case for BigID?
I have used BigID to scan for data discovery, data protection, analyze where the data is found, data classification, and data mapping. I integrated BigID with Microsoft Purview to expand the scope ...
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
What are the biggest benefits of using Informatica Cloud Data Integration?
When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
 

Also Known As

No data available
ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
 

Learn More

 

Overview

 

Sample Customers

Home Depot, Grant Thornton LLP, Cimpress, Fidelity Investments
The Travel Company, Carbonite
Find out what your peers are saying about BigID vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: January 2025.
831,265 professionals have used our research since 2012.