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Informatica Intelligent Data Management Cloud (IDMC) vs Oracle Big Data SQL comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 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

Informatica Intelligent Dat...
Ranking in Cloud Data Integration
3rd
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) (13th), Business-to-Business Middleware (4th), API Management (8th), 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 (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
Oracle Big Data SQL
Ranking in Cloud Data Integration
17th
Average Rating
8.6
Reviews Sentiment
7.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2025, in the Cloud Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 5.9%, down from 10.6% compared to the previous year. The mindshare of Oracle Big Data SQL is 0.4%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration
 

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.
Mohamed Moustafa - PeerSpot reviewer
Offers good scalability, strong stability and seamless integration
The user interface is really user-friendly and intuitive. It was a major plus. The integration process was smooth. Oracle's security is good and significantly better than that of other solutions I've encountered. Previously, we had separate data interfaces for 15 concrete mixing plants, requiring manual document creation in Oracle. Now, with integrated automation, production has become much easier and more efficient over the past three years.

Quotes from Members

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

Pros

"Axon has a marketplace that allows you to showcase all the assets the data owner has, so they can request access. That's one feature we use extensively. Axon also offers great visibility and intuitive searchability, allowing you to easily search data assets. You can check the lineage and see the work EDC does. EDC handles all the classification, cataloging, and lineage. It's integrated with Axon, and anyone can see that."
"It's good for tool management, maintaining the golden record of customer status."
"I know that there are two good features, APN and ServiceNow but we haven't explored all of its features yet."
"The data quality component is very good."
"Informatica is user-friendly, stable, and scalable. These three aspects are the most valuable for us. If we can make it work well with the CRM, we can continue or try again this year to complete that part of the project. I am confident that this kind of solution is what we need because we have a third-party resource that works in the development."
"MDM doesn't require a separate IDQ."
"The capability of the tool to scan and capture the metadata from a variety of sources is one of the capabilities that I find most useful. The central repository into which it is going to put that captured metadata is the best."
"The metadata management of Informatica is great."
"The user interface is really user-friendly and intuitive."
"This solution can maintain a large volume of data and is flexible to what data it can handle. The performance is very good."
 

Cons

"The integration with other data management tools can be enhanced. For instance, there is no integration with tools like Collibra or Hubview."
"They have too many diversified products. If you don't know Informatica, it's very confusing and feels very idiotic."
"It can be improved in terms of performance and execution. I'm expecting better performance. It currently has some restrictions in terms of execution. For example, if we want to run it in the command mode and execute it, there are some restrictions, and we are facing some issues with a huge volume of data. These restrictions are not there in Informatica PowerCenter because we are able to execute a huge volume of data, and there are more ways to execute it."
"I would like to see support for more data sources."
"If I compare it with other MDM solutions in the market, one thing that can definitely be improved is automation to help with the configuration. Currently, when we are creating any staging of base object tables, all the columns have to be configured manually in the Informatica Hub Console. A lot of tables and different kinds of business columns have to be configured manually. There should be an automated process for this, especially in the Dev environment. When people are creating tables and columns from scratch, if there is a backend automated process for that, it would be really helpful. In Stibo, a similar feature is there wherein you can tag attributes to certain objects. It would be helpful if Informatica also provides a similar option. It would reduce the manual effort. It could be that such a feature is already there, but I am not aware of it."
"The user interface of the product needs to be improved"
"It would be helpful if there was a GenAI feature integrated into the system, especially regarding the data quality."
"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."
"The solution could improve by adding more advanced features."
"There is room for improvement in the pricing."
 

Pricing and Cost Advice

"It is cost effective and an easily accessible tool."
"It's a costly solution"
"it's expensive, but if you're looking for a stable solution, Informatica MDM is a good one to choose."
"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."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."
"Its pricing model can be improved."
"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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Insurance Company
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 ...
What do you like most about Oracle Big Data SQL?
The user interface is really user-friendly and intuitive.
What needs improvement with Oracle Big Data SQL?
There is room for improvement in the pricing.
What is your primary use case for Oracle Big Data SQL?
With Oracle Big Data SQL, I primarily managed data organization and structure. It helped streamline data within the system. I integrated Oracle with other systems. I worked with Oracle integrations...
 

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
No data available
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Information Not Available
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. Oracle Big Data SQL and other solutions. Updated: April 2025.
850,076 professionals have used our research since 2012.