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Alteryx 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:
 

ROI

Sentiment score
7.1
Alteryx provided fast ROI and efficiency, saving time and costs, with benefits in automation and resource allocation despite its price.
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
7.3
Alteryx support is responsive but varies, with users often relying on community and partners for effective solutions.
Sentiment score
6.9
Informatica offers strong support, praised for expertise but needing consistent response times; priority and contracts affect service quality.
The customer service was not good because we weren't premium support users.
I contacted customer support once or twice, and they were quick to respond.
Due to the tool's maturity limitations, solutions are not always simple and often require workarounds.
 

Scalability Issues

Sentiment score
7.3
Alteryx is scalable and enterprise-ready but can be costly and challenging with extremely large datasets and production workflows.
Sentiment score
7.3
Informatica Intelligent Data Management Cloud offers scalable solutions, handling large volumes with proper planning and excellent documentation for user satisfaction.
Alteryx is scalable, and I would give it eight out of ten.
As a SaaS platform, IDMC is quite scalable and provides complete flexibility.
 

Stability Issues

Sentiment score
7.9
Alteryx is stable and efficient, praised for handling large datasets, with minor glitches noted in complex workflows.
Sentiment score
7.7
Informatica IDMC is generally reliable despite occasional issues, with strong vendor support ensuring minimal downtime and manageable bugs.
I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.
I have not encountered any lagging, crashing, or instability in the system during these three months of usage.
Stability is crucial because IDMC holds business-critical data, and it needs to be available all the time for business users.
 

Room For Improvement

Alteryx needs better visualization, integration, pricing, cloud support, documentation, scalability, and advanced analytics to remain competitive.
Informatica IDMC needs UI improvements, better automation, pricing review, enhanced support, and performance enhancements for optimal usability.
The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.
The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.
It would be beneficial if Alteryx could lower its price or introduce a loyalty program for individual consultants and freelancers like me.
The tool needs to mature in terms of category-specific attributes or dynamic attributes.
 

Setup Cost

Alteryx pricing starts high, but discounts and ROI potential make it suitable for medium to large enterprises.
Informatica IDMC pricing is high, varies by project, and often suits large enterprises with negotiable options.
Some were hesitant to pay $4000 per seat.
Alteryx is expensive.
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
It ranges from a quarter million to a couple of million a year.
 

Valuable Features

Alteryx simplifies data integration and analysis with a user-friendly interface, supporting robust automation and rapid data processing.
Informatica IDMC provides flexible data management with seamless integration, AI capabilities, and robust governance for efficient data handling.
The tool also provides functionality for dashboarding, report bursting, and handling multi-currency and multi-language situations.
It offered quick development, with the ability to process large datasets.
The tool's flexibility in saving processes and using a vast amount of available memory has been extremely helpful.
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

Alteryx
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
81
Ranking in other categories
Predictive Analytics (1st), Data Science Platforms (4th), Data Preparation Tools (1st)
Informatica Intelligent Dat...
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), Data Governance (2nd), 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

While both are Database Services solutions, they serve different purposes. Alteryx is designed for Predictive Analytics and holds a mindshare of 22.9%, down 26.4% compared to last year.
Informatica Intelligent Data Management Cloud (IDMC), on the other hand, focuses on Data Management Platforms (DMP), holds 17.8% mindshare, up 13.9% since last year.
Predictive Analytics
Data Management Platforms (DMP)
 

Featured Reviews

Theresa McLaughlin - PeerSpot reviewer
Quick development enables seamless data processing despite occasional support issues
There were times when the product would fail during development without an apparent reason. The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system. Licensing negotiations were problematic, affecting our product usage. For instance, our licenses were temporarily lost during negotiations when an agreement couldn't be reached.
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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Top Industries

By visitors reading reviews
Financial Services Firm
24%
Manufacturing Company
10%
Computer Software Company
9%
Healthcare Company
6%
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 is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this. It can handle over 2 billion rows of...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. - Featu...
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

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
The Travel Company, Carbonite
Find out what your peers are saying about Alteryx, SAP, RapidMiner and others in Predictive Analytics. Updated: March 2025.
842,690 professionals have used our research since 2012.