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Informatica Intelligent Data Management Cloud (IDMC) vs Toad Data Point comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 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 Data Integration
4th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (9th), Business-to-Business Middleware (5th), 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 (3rd), Product Information Management (PIM) (1st), Data Observability (2nd)
Toad Data Point
Ranking in Data Integration
28th
Average Rating
9.0
Reviews Sentiment
7.6
Number of Reviews
5
Ranking in other categories
Data Preparation Tools (5th)
 

Mindshare comparison

As of August 2025, in the Data Integration category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 4.3%, down from 6.5% compared to the previous year. The mindshare of Toad Data Point is 0.5%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Saikat Ghosh - PeerSpot reviewer
Match and merge functionality is still the best but cloud version needs more functionality
There are various areas for improvement in IDMC. Enhancements on basic data management functionality and the UI front, such as multiple templates and improved grid views, would be beneficial. Bulk data management features could be improved from the UI perspective to get to the level of the on prem versions of Informatica MDM. The tool needs to mature but missing small but important features, like restricted dynamic attributes functionality, data inheritance rules in master hierachies, identifiers not being passed in jobs is a drawback.
Aaron Payne - PeerSpot reviewer
Offers power developers the tooling they need
I am not the end user of this solution. I am not close enough to it because I manage the platform that it runs against. The end users who use the Toad tool come against the database that my team manages, so it is hard for me to provide any area for improvement when it comes to the Toad tool. However, in the administration case, cost is a significant issue. The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version. Scalability is difficult when it is that costly.

Quotes from Members

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

Pros

"Offers data lineage feature"
"​The tool manually checks on applying business rules and helps to implement them."
"The way that the solution scans is very useful."
"On a scale of 1-10, I rate Informatica Intelligent Data Management Cloud (IDMC) a 10 out of 10."
"I like EDC's self-service capabilities. You can put the catalog on the intranet inside the organization, so users can search for something. People in the research world have specialized systems, and you might find data from various places that sound similar."
"The solution has multiple valuable features for metadata collection"
"The advanced features like task flow and conditional integration are particularly useful."
"The most valuable feature of Informatica Axon has been the data marketplace."
"The Connectivity and Connection Manager supports a broad number of connection types, and it is trivial for end-users to set up their own connections to sources."
"It provides better SQL development tooling than SQL Developer, which is not a sufficient tool for all development use cases. It offers power developers the tools they need."
"The most valuable features of Toad Data are you could write a parameterized query and it wouldn't error out, it would give you the parameters that you could input. The auto-formatting feature is useful because it was great for keeping your queries neat and understandable. The auto comment, and uncomment toggles that you could do were convenient."
"With Toad Data Point, I can automate most steps automatically."
"The best thing about it is its automation features."
"One of the greatest features is that you can get data from anywhere to anywhere with Toad Data Point."
"We love it."
"I have never experienced any issues with customer service."
 

Cons

"New machine learning could be added to Informatica MDM because the solution is outdated and is not moving with the current trends. The solution is good, but it definitely needs a lot of improvement and needs to speed up as per the market."
"The stability and the integration of the solution have room for improvement."
"Inserting the GenAI into the master data management will reduce the overall effort of operational activities."
"They have too many diversified products. If you don't know Informatica, it's very confusing and feels very idiotic."
"There are a small number of UI bugs that occur on occasion."
"One thing Informatica could improve is the way IPUs are used. Each customer purchases a certain amount of IPUs per month, but you can use more or less than that defined quantity. The only problem is if you don't use the all your IPUs, they don't carry over into the next month. I think customers should have the ability to transfer unused IPUs into the next month or year. This improvement could help give customers more flexibility, especially since cloud solutions need flexibility in how we use and pay for them."
"There is room for improvement at the highest level in terms of useability and connectors for various types of new applications. The row processing performance could be better because you experience some latency dealing with high volumes of data. Most organizations will be dealing with multiple cloud applications, so you could see performance issues moving from one system to another."
"One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities."
"It's not user-friendly. Once you start using it, you eventually get to know the features."
"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version."
"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."
"I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky."
"The Mac license is incredibly expensive. It is 1,600 dollars each, which is more than the Windows version. Scalability is difficult when it is that costly."
"On the scheduling server, some scheduled reports just sit there and never execute for the first time. After manually executing the first time, they run with no issues."
"Toad Data could improve by having additional features, such as query prediction. This could help someone who's not the strongest programmer. If the software could help them write queries correctly it would be very helpful, especially for small development teams or teams that lack the input skills necessary to write and program efficiently."
"It's not user-friendly. Once you start using it, you eventually get to know the features."
 

Pricing and Cost Advice

"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"The pricing is high compared to other tools on the market."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."
"The price of Informatica Cloud Data Integration could be reduced."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"It's a costly solution"
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"The Mac licenses are expensive, costing 1,600 dollars each. This is much higher than for the Windows version. I maintain a very limited number of licenses due to this cost."
"The cost of this product is reasonable."
"The price of Toad Data Point was approximately $500 annually."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
11%
Manufacturing Company
10%
Insurance Company
7%
Financial Services Firm
30%
Healthcare Company
12%
Insurance Company
7%
Manufacturing Company
6%
 

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 is your experience regarding pricing and costs for Toad Data Point?
The pricing for Toad Data Point is where it gets into trouble. Microsoft is free, so if you get SQL Server, you get all the other stuff with it. You have to use several Microsoft tools that don't a...
What needs improvement with Toad Data Point?
I used their report writing a little bit, however, it could improve since it's not a really good report writer and it's a little clunky.
What is your primary use case for Toad Data Point?
When I use it, I'm using it for writing SQL or testing SQL code. I used to use it for moving data, loading files into database tables, from tables to other tables.
 

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
Concordia University
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. Toad Data Point and other solutions. Updated: August 2025.
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