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Informatica Cloud Data Quality vs Talend Data Quality comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Informatica Cloud Data Quality
Ranking in Data Quality
3rd
Average Rating
8.4
Number of Reviews
11
Ranking in other categories
No ranking in other categories
Talend Data Quality
Ranking in Data Quality
6th
Average Rating
8.0
Number of Reviews
20
Ranking in other categories
Data Scrubbing Software (1st)
 

Mindshare comparison

As of November 2024, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 2.6%, up from 1.9% compared to the previous year. The mindshare of Talend Data Quality is 3.7%, down from 6.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

TaherDungrawala - PeerSpot reviewer
Jul 5, 2024
Has good reusability and CDI features
We've 300-400 data quality rules and different kinds of rules for completeness, conformity, and timeliness. We're using Informatica to implement those rules in Cloud Data Quality Informatica has CDI. So, if you find some issues, you can always integrate your CDI and then fix your data. The…
WesamHabboub - PeerSpot reviewer
Jan 16, 2024
Stands out for its user-friendly interface, robust community support, competitive pricing and strategic approach to improving data accuracy
Its greatest asset lies in its user-friendly interface, specifically within the Talend Open Studio, known for its ease of use and familiarity among users. The robust community support proves invaluable when encountering challenges, providing a reliable resource for issue resolution. Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users. The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work. This functionality enables a streamlined process for identifying, assigning, and subsequently addressing data quality issues.

Quotes from Members

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

Pros

"We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog."
"The most valuable feature is the rule specification."
"Stability-wise, I rate the solution a ten out of ten."
"An advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution."
"Initial setup was fairly easy."
"The reusability factors are nice. The Cloud Data Quality is much better. A major flaw in the previous version was integration with the catalog, which is now seamless."
"The user-friendliness and performance of Informatica is quite impressive."
"The profiling features are much better than the on-premise version."
"We have used value frequency and patterns. We have been it impressed with these functions as they have helped us in making decisions in transformation work."
"It offers advanced features that allow you to create custom patterns and use regular expressions to identify data issues."
"It’s easy to monitor the processes. Every morning I’ll open the Talend Administration Center to check the status of the process. Within seconds I’m able to see which process ran successfully and which have failed and why they failed."
"The solution is customizable."
"It has definitely streamlined certain processes.​"
"Provides a flexible development environment to the coder.​"
"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."
"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."
 

Cons

"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"In the on-premises version, features like web service consumer and web service provider are available, but these functionalities are currently unavailable in the cloud edition."
"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."
"Accessing data as a service is essential, especially for validations requiring external data services. This goes beyond basic syntactic checks, like ensuring an email address contains the @ symbol or .com domain. Instead, it's about advanced validation, such as verifying if an email address exists or if a phone number is valid."
"The integration with older technology and cloud quality needs improvement."
"Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM."
"Logical views are a little bit behind in comparison to the on-premise version."
"Support response time could be better."
"If we encounter issues, it’s most likely when using the Talend Open Studio. The studio can be slow, get stuck, or crash. But again, it can be caused by the resources of your machine or your connection with the repository. If we encounter issues with the Studio we restart the Studio. In emergencies, we create and use a new workspace."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."
"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."
"Finding assistance with issues can be spotty. With Python, there are literally millions of open source answers which are recent and apply to the version that we are using."
"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
"I would say that some of the support elements need improvement."
 

Pricing and Cost Advice

"We pay for a yearly subscription."
"Informatica Cloud Data Quality is a costly solution."
"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
"It's a subscription-based platform, we renew it every year."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Manufacturing Company
10%
Computer Software Company
8%
Logistics Company
7%
Financial Services Firm
14%
Computer Software Company
12%
Manufacturing Company
10%
Energy/Utilities Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Informatica Cloud Data Quality?
The profiling features are much better than the on-premise version.
What needs improvement with Informatica Cloud Data Quality?
Accessing data as a service is essential, especially for validations requiring external data services. This goes beyond basic syntactic checks, like ensuring an email address contains the @ symbol ...
What is your primary use case for Informatica Cloud Data Quality?
We use the solution to validate emails, telephone numbers, and postal codes. It can also create some data quality rules using the Cloud app's data quality function.
What do you like most about Talend Data Quality?
The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.
What is your experience regarding pricing and costs for Talend Data Quality?
There are many data quality tools available, but some can be expensive. Talend Data Quality stands out because it is often provided for free if you already have Talend Data Integration, which means...
What needs improvement with Talend Data Quality?
Talend suite might have a missing product, particularly in the commercial master aspect. This would contribute to completing the overall picture, though the focus isn't necessarily on economic cons...
 

Also Known As

Cloud Data Quality Radar
No data available
 

Overview

 

Sample Customers

Freddie Mac, Rabobank
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about Informatica Cloud Data Quality vs. Talend Data Quality and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.