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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:
 

ROI

Sentiment score
8.2
BigID offers high ROI through excellent API integration and comprehensive data management, ensuring compliance with strict privacy regulations.
Sentiment score
7.1
Informatica Cloud enhances data quality and processes, with ROI influenced by master data, change management, and adoption rates.
 

Customer Service

Sentiment score
8.0
BigID's technical support is responsive and well-rated, offering prompt assistance and effective issue resolution, despite occasional delays.
Sentiment score
6.9
Informatica offers strong support, praised for expertise but needing consistent response times; priority and contracts affect service quality.
BigID has one of the best technical support teams.
Professional service provides early and efficient support.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
 

Scalability Issues

Sentiment score
7.0
BigID is scalable and adaptable but requires additional tools for data presentation; experiences vary among users.
Sentiment score
7.3
Informatica Intelligent Data Management Cloud offers scalable solutions, handling large volumes with proper planning and excellent documentation for user satisfaction.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
 

Stability Issues

Sentiment score
7.5
BigID is reliable with effective training, though issues exist with visibility and tagging; expected to improve over time.
Sentiment score
7.7
Informatica IDMC is generally reliable despite occasional issues, with strong vendor support ensuring minimal downtime and manageable bugs.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
 

Room For Improvement

BigID users seek enhanced data governance, security features, classifiers, automation, and interface improvements, with better consent management and large export handling.
Informatica IDMC needs UI improvements, better automation, pricing review, enhanced support, and performance enhancements for optimal usability.
There is also an issue with incident tagging, where all objects get tagged without an option to untag specific ones, and reverting changes is only possible through MongoDB Central, which can lead to data loss for certain periods.
I want them to focus on data mapping, assessment, automation workflow, and privacy incident management.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
 

Setup Cost

BigID offers modular pricing based on capacity, valued for advanced features in data-intensive sectors like healthcare and technology.
Informatica IDMC pricing is high, varies by project, and often suits large enterprises with negotiable options.
BigID might be expensive as it involves various paid services, like data retention and graphic rights management.
The pricing is competitive in the market, however, I need to ask for the right price.
It ranges from a quarter million to a couple of million a year.
 

Valuable Features

BigID provides user-friendly data discovery, classification, and governance with advanced AI tools, enhancing security and compliance across data sources.
Informatica IDMC provides flexible data management with seamless integration, AI capabilities, and robust governance for efficient data handling.
One of the best features of BigID is its strength in data discovery and governance.
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 platform's ability to pull in data from other platforms without the need for an additional integration tool enhances its appeal.
 

Categories and Ranking

BigID
Ranking in Data Governance
5th
Average Rating
8.2
Reviews Sentiment
7.3
Number of Reviews
12
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
7.8
Reviews Sentiment
6.8
Number of Reviews
182
Ranking in other categories
Data Integration (3rd), Data Quality (1st), Business Process Management (BPM) (11th), Business-to-Business Middleware (4th), API Management (8th), 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)
 

Mindshare comparison

As of March 2025, in the Data Governance category, the mindshare of BigID is 7.6%, up from 5.5% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 6.8%, down from 10.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance
 

Featured Reviews

Ankita Sabale - PeerSpot reviewer
Predefined classifiers in place support sensitive data scanning effectively
BigID does not currently support Kerberos authentication for DataStax. On the user interface, analyzing true and false positives can be challenging, as I can only view 2,000 characters at a time. When tagging scan results, all objects get tagged without the option to untag specific ones. This requires reverting changes through MongoDB, which can result in data loss.
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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Use our free recommendation engine to learn which Data Governance solutions are best for your needs.
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Top Industries

By visitors reading reviews
Financial Services Firm
26%
Computer Software Company
10%
Insurance Company
7%
Manufacturing Company
7%
Financial Services Firm
17%
Computer Software Company
12%
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 does not currently support Kerberos authentication for DataStax. On the user interface, analyzing true and false positives can be challenging, as I can only view 2,000 characters at a time. W...
What is your primary use case for BigID?
BigID is part of our data governance project. We onboard data sources in our environment and scan for specific sensitive data sets, such as SSN numbers, passport numbers, and medical information, w...
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
 

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: March 2025.
842,651 professionals have used our research since 2012.