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Informatica Intelligent Data Management Cloud (IDMC) vs Posidex Technologies Data Quality comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Informatica Intelligent Dat...
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) (6th), Business-to-Business Middleware (3rd), API Management (7th), Cloud Data Integration (3rd), Data Governance (2nd), 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)
Posidex Technologies Data Q...
Average Rating
9.0
Number of Reviews
1
Ranking in other categories
Data Scrubbing Software (8th)
 

Mindshare comparison

While both are Data Quality Tools solutions, they serve different purposes. Informatica Intelligent Data Management Cloud (IDMC) is designed for Data Management Platforms (DMP) and holds a mindshare of 17.5%, up 14.0% compared to last year.
Posidex Technologies Data Quality, on the other hand, focuses on Data Scrubbing Software, holds 2.0% mindshare, down 2.7% since last year.
Data Management Platforms (DMP)
Data Scrubbing Software
 

Featured Reviews

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.
reviewer797259 - PeerSpot reviewer
The data cleansing and standardization it offers has helped us in our credit decisions for underwriters
The primary use cases of the solution are: Ensuring data quality Data cleansing of the input data Deduplication of the customer and his/her demographic information from multiple data sources against the existing customer base. Scanning the customer records against the negative customer list…

Quotes from Members

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

Pros

"I like the connectivity and richness of features for the technical team, the maturity of the product, and that it had a cloud version. There is Informatica Cloud, and it is part of the Informatica Cloud platform."
"The solution's scalability is high."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"In the latest version, I like the outlay of the business roles creation. I like seeing that visualization as you're building it, as opposed to going through metatables or XML mappings. We liked that piece, and it makes it more intuitive for the business."
"The fuzzy matching capability is a great feature."
"Informatica MDM has data quality, mastering the data's capability."
"The most valuable features are data quality, data integrate transformations, match-merge, and a few MDM solutions we build into data quality transformation."
"What I like best about Informatica MDM is its structured, table-based approach. Unlike Reltio, where data is only visible through the UI and cloud-based, the solution allows access to normalized tables. This means I can directly query and see data in each table. For instance, I can easily get all customer details from the customer table. However, for more complex queries, like seeing all customer interactions with the organization, some SQL knowledge is needed to join different tables and retrieve the details."
"The data cleansing and standardization it offers, and near real-time response, has helped us in our credit decisions for underwriters, thereby getting the right customer onboarded."
 

Cons

"I think they should work really hard on UI."
"Though EDC has maximum coverage, a few things were not available to scan, but I think EDC is evolving to address this issue."
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"The solution is quite expensive."
"They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently."
"Informatica MDM can improve the data catalog and data marketplace."
"The customer servive and support could be faster. There is a slow turnaround."
"The configuration process is pretty lengthy and challenging and could be made easier to understand."
"Having the solution in big data technologies is something Posidex is working on."
 

Pricing and Cost Advice

"I have no idea what the price actually is. It is probably not going to be the cheapest, but it is a pretty stable and robust platform from the backend standpoint."
"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."
"The pricing is quite flexible."
"The pricing is high compared to other tools on the market."
"I have heard from customers that the product comes with a huge license cost."
"The solution's pricing model is easy, but it is very expensive."
"We got a 50% discount."
"The product is very expensive"
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Government
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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 ...
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Also Known As

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
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Overview

 

Sample Customers

The Travel Company, Carbonite
ICICI Bank, HDFC Bank, Reliance Capital, Tata Motor Finance Ltd, ICICI Prudential Life Insurance Company, Bharti Airtel Limited, Idea Cellular, Credit Information Bureau
Find out what your peers are saying about Palantir, Informatica, Oracle and others in Data Management Platforms (DMP). Updated: December 2024.
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