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BigID vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

BigID
Ranking in Data Governance
7th
Average Rating
8.0
Number of Reviews
9
Ranking in other categories
Data Privacy Management Software (2nd), Data Security Posture Management (DSPM) (7th)
Informatica Intelligent Dat...
Ranking in Data Governance
2nd
Average Rating
7.8
Number of Reviews
180
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (5th), Business-to-Business Middleware (3rd), API Management (8th), Cloud Data Integration (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
 

Featured Reviews

Chenna Vemula - PeerSpot reviewer
Jul 31, 2024
Offers a unified view, supports many data source types, and provides good data discovery
The solution needs to improve: Scan Reliability. Enhancing the functionality and speed of the remote scanner setup is imperative. User Interface Navigation: The dashboards and findings landscape require significant improvement. API Flexibility: It is crucial to make enhancements in data export operations. Navigation and Usability: Some users find catalog navigation challenging due to the lack of a search-by-column feature, making locating specific data difficult. Export Functionality: The export feature tends to be buggy, particularly when dealing with large data sets, leading to delays and necessitating manual intervention FalsePositives: The process has to find a new way to validate the regex match pattern by validating with some external source
Artur-Kowalczyk - PeerSpot reviewer
Mar 29, 2024
Offers cloud version, good connectivity and data profiling features
We had proof of concepts where certain test cases were given to improve the functionality of the vendor regarding the supply chain. So, it was a proof of concept. It was not applied in production. It was just illustrating the capabilities of the platform, and we were comparing it with other…

Quotes from Members

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

Pros

"BigID integrates well with our other products."
"BigID's scanning feature is its most valuable component."
"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."
"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 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."
"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 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."
"Axon has something called Overlay, which can be used to extend the technical lineage."
"We can see all our information on a single screen."
"It has flexibility in extending the data model."
"Informatica MDM has data quality, mastering the data's capability."
"It comes with lot of features and is a one-stop-shop solution for integration, data modeling, and data governance. Everything can be built under one particular umbrella. If any issues come up, then there won't be any blame game saying that it could be an integration issue or an MDM hub issue because it's wholly owned by Informatica. That's the biggest advantage of Informatica MDM over that of any other tools that are available on the market."
"The solution is applicable for both technical and business users."
"The features for data quality, data cataloging, and UI are excellent."
"The feature of auto-onboarding of the assets, enterprise assets via EDC is good."
 

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 tool currently lacks security features."
"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 is expensive. I prefer McAfee."
"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."
"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."
"More classifications about different states are needed"
"One area that needs to improve is the user experience because it is very complex. The trial version is very complex so it's not easy to start using the program immediately. You must study the rules first."
"The biggest pain point for us is the documentation. Typically, you have to go through knowledge forums and knowledge groups to find out about the syntax issues for interfacing with new products. Typically, you've got to deal with someone who has been through the pain before. Their documents are not really up to date with current innovations happening in the industry. As big as they are, you can't really expect it, but that's our pain point."
"Cost-wise, it could be better."
"The product isn't mature enough to provide suitable connectors to various data engines."
"Connectivity could be improved, it can be a little slow."
"I think they should work really hard on UI."
"Its cloud-based version has a few limitations compared to the on-premise version."
"The model is somewhat flexible. There are certain aspects of the model that are not as flexible as we would like. It doesn't do certain things to a great level of depth. So, in situations where we want to drill in to do something specific, we have to essentially copy that data into our own structures in order to add that additional layer of flexibility."
 

Pricing and Cost Advice

"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."
"I think that BigID's pricing is very reasonable."
"The solution is expensive."
"The product is expensive, but so are all competitor tools"
"So, there are plans for licensing. There are subscription-based and usage-based licenses. Also, there are licenses for exceptional analytics, etc. In short, there are different models of licensing for every enterprise."
"I have heard from customers that the product comes with a huge license cost."
"Informatica Axon is expensive."
"The product has a high price point."
"You can purchase licenses for this solution at different intervals. For example, annually or every three years. They recently changed their terms for licensing and now it is more flexible."
"It's a costly solution"
"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
"It's an expensive solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
26%
Computer Software Company
12%
Insurance Company
7%
Manufacturing Company
6%
Financial Services Firm
17%
Computer Software Company
13%
Manufacturing Company
10%
Insurance Company
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?
The solution needs to improve: Scan Reliability. Enhancing the functionality and speed of the remote scanner setup is imperative. User Interface Navigation: The dashboards and findings landscape re...
What is your primary use case for BigID?
BigId is a Data Security Posture Management and Data Loss Prevention solution that scans data systems across the enterprise for passwords, secrets, and PII information. It offers significant benefi...
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: September 2024.
801,394 professionals have used our research since 2012.