Try our new research platform with insights from 80,000+ expert users

Alteryx Designer Cloud vs Informatica Intelligent Data Management Cloud (IDMC) comparison

 

Comparison Buyer's Guide

Executive Summary

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

Alteryx Designer Cloud
Average Rating
0.0
Number of Reviews
1
Ranking in other categories
Data Preparation Tools (6th)
Informatica Intelligent Dat...
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
185
Ranking in other categories
Data Integration (2nd), Data Quality (1st), Business Process Management (BPM) (11th), Business-to-Business Middleware (5th), API Management (8th), 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)
 

Mindshare comparison

While both are Database Services solutions, they serve different purposes. Alteryx Designer Cloud is designed for Data Preparation Tools and holds a mindshare of 8.6%, up 7.6% compared to last year.
Informatica Intelligent Data Management Cloud (IDMC), on the other hand, focuses on Data Management Platforms (DMP), holds 15.5% mindshare, up 13.7% since last year.
Data Preparation Tools
Data Management Platforms (DMP)
 

Featured Reviews

reviewer1464411 - PeerSpot reviewer
Robust, great for financial decision making, and very scalable
This product really needs to improve its ease of use. The solution needs to do a better job of promoting and marketing itself. Alteryx is much better at this and as a consequence is more recognizable. Trifacta needs to showcase its technology better. It truly should encompass the A to Z execution of how you execute business process modeling in an intelligent automation form. A future release needs to be something that's easier to handle. I wouldn't say a layman should be able to use the solution as data wrangling is something that somebody has got to really be certified in. I have a friend who's worked at IBM for 30 years, and now he's just getting certified as a data scientist. However, if the solution was designed as something that really could assist a new data scientist or kids coming out of college, something that's easier for them to wrap their heads around, that would be helpful. The interface on Trifacta is way too busy. I used to do UX and it's just awful. It looks a little bit like Excel. I can't stand it. The UI of Alteryx is much, much better.
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.

Quotes from Members

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

Pros

"It works well for data scientists and can really help them drill down on the information in order to give management tangible data points for larger business decisions."
"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 application integration will give you more flexibility when dealing with APIs."
"The Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations."
"We can scan anything."
"The staging and hierarchical features are the most valuable."
"I rate the technical support a ten out of ten."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"It has a more UI-based tool, and the scripting is good."
 

Cons

"This product really needs to improve its ease of use."
"Informatica's issue is the licensing. Right now, there are a lot of new gen MDMs that are offering a lot in a single licensing model."
"Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data."
"Informatica MDM could improve the interdependency with integration. The solution sometimes becomes a bit difficult to change considering a lot of interdependency with the integration. There can be some improvement in the workflows and they can introduce more artificial intelligence."
"Informatica is very expensive."
"Needs to implement the new workflow with simple steps and a quick visualization with a 360 view of the data."
"If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."
"The ability of the product to leverage the power of big data could be improved."
"The vendor should have more training resources: online classes, free tutorial videos, etc."
 

Pricing and Cost Advice

Information not available
"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
"Informatica Axon is expensive."
"It's offers value for money. They're more competitive with respect to pricing and offerings."
"Informatica MDM is a costly solution because it comes as a bundle. They are also globally positioning themselves and are definitely working on very upgraded technologies. If someone wanted to do it on the cloud, they have a lot of flexibility because they upgrade themselves according to the current needs. It definitely comes with a lot of features and that's the reason why it's costly. The licensing cost should be approximately one million dollars. It's about four to five times that of other vendors."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"The product has a high price point."
"It is an expensive solution. I would say it is the most expensive solution in the market."
"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."
report
Use our free recommendation engine to learn which Data Preparation Tools solutions are best for your needs.
854,338 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
9%
Insurance Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

Ask a question
Earn 20 points
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

Vodafone, Stanford University, Nike, Ericsson, Samsung, Intel, Google, Thmson Reuters, Honeywell, Dow, Deloitte, Barclays
The Travel Company, Carbonite
Find out what your peers are saying about Alteryx, Bright Data, SAS and others in Data Preparation Tools. Updated: May 2025.
854,338 professionals have used our research since 2012.