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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:
 

Customer Service

Sentiment score
9.0
BigID's customer service is supportive and responsive, offering efficient technical assistance, though occasionally delayed or limited in scope.
No sentiment score available
 

Room For Improvement

Sentiment score
5.1
BigID struggles with file viewing, security, reliability, regional classifiers, consent management, cost, and centralized access limitations.
No sentiment score available
 

Scalability Issues

Sentiment score
6.7
BigID is popular for scalability but requires extra effort and tools, with varying performance and some adoption limitations.
No sentiment score available
 

Setup Cost

Sentiment score
7.4
BigID offers modular pricing based on features, making it cost-effective for large enterprises but less suitable for small businesses.
No sentiment score available
 

Stability Issues

Sentiment score
7.8
BigID is valued for its stability, leadership, user-friendly interface, and effective training, despite occasional scan visibility issues.
No sentiment score available
 

Valuable Features

Sentiment score
7.8
BigID provides powerful data discovery, classification, and governance features, enhancing compliance and security across diverse data sources.
No sentiment score available
 

Categories and Ranking

BigID
Ranking in Data Governance
7th
Average Rating
8.0
Reviews Sentiment
7.4
Number of Reviews
10
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
8.0
Reviews Sentiment
6.9
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) (2nd), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (4th), 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.
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Computer Software Company
11%
Insurance Company
8%
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?
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: October 2024.
816,406 professionals have used our research since 2012.