Informatica Cloud Data Quality vs. Talend Data Fabric

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Informatica Cloud Data Quality
Score 8.5 out of 10
N/A
The vendor states that Informatica Data Quality empowers companies to take a holistic approach to managing data quality across the entire organization, and that with Informatica Data Quality, users are able to ensure the success of data-driven digital transformation initiatives and projects across users, types, and scale, while also automating mission-critical tasks.N/A
Talend Data Fabric
Score 9.4 out of 10
N/A
The Talend Data Fabric helps organizations to achieve and maintain complete, trustworthy, and uncompromised data, so that they can stay in control, mitigate risk, and drive value.N/A
Pricing
Informatica Cloud Data QualityTalend Data Fabric
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica Cloud Data QualityTalend Data Fabric
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Informatica Cloud Data QualityTalend Data Fabric
Considered Both Products
Informatica Cloud Data Quality
Chose Informatica Cloud Data Quality
Informatica data quality is better than all the products today except that competitors have better report formatting. For example: Global ID and Talend have better profiling reports for business users ( charting.. etc). Informatica is lacking in this area.
Chose Informatica Cloud Data Quality
Talend ETL provides a more integrated Data Quality tool but the choice for IDQ was completed before I started and company is entrenched with Informatica
Talend Data Fabric

No answer on this topic

Top Pros
Top Cons
Features
Informatica Cloud Data QualityTalend Data Fabric
Data Quality
Comparison of Data Quality features of Product A and Product B
Informatica Cloud Data Quality
8.9
6 Ratings
0% below category average
Talend Data Fabric
-
Ratings
Data source connectivity9.36 Ratings00 Ratings
Data profiling9.26 Ratings00 Ratings
Master data management (MDM) integration8.96 Ratings00 Ratings
Data element standardization8.26 Ratings00 Ratings
Match and merge8.76 Ratings00 Ratings
Address verification9.06 Ratings00 Ratings
Best Alternatives
Informatica Cloud Data QualityTalend Data Fabric
Small Businesses
HubSpot Operations Hub
HubSpot Operations Hub
Score 8.1 out of 10

No answers on this topic

Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10

No answers on this topic

Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
Oracle Coherence
Oracle Coherence
Score 7.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Informatica Cloud Data QualityTalend Data Fabric
Likelihood to Recommend
9.3
(20 ratings)
9.5
(7 ratings)
Likelihood to Renew
6.6
(14 ratings)
8.0
(1 ratings)
Usability
8.0
(1 ratings)
7.0
(1 ratings)
Availability
9.0
(2 ratings)
-
(0 ratings)
Performance
9.0
(1 ratings)
-
(0 ratings)
Support Rating
-
(0 ratings)
10.0
(1 ratings)
Online Training
10.0
(1 ratings)
-
(0 ratings)
Implementation Rating
10.0
(1 ratings)
-
(0 ratings)
Product Scalability
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
Informatica Cloud Data QualityTalend Data Fabric
Likelihood to Recommend
Informatica
Helps to increase productivity, optimize costs, and democratize data across multiple cloud environments with cloud ETL and ELT. Capacity to integrate data sources at scale and with ease. Has cloud data integration capabilities that cover diverse sets of patterns, use cases, and users ensuring we have well-architected and seamless automated data pipelines.
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Qlik
Truly trusted contact center where the effective solution is always guaranteed. It is not a one-off fix to a specific data integration or management problem. It is a permanent and scalable solution to manage all of your data under a unified environment. Easy to use, great performance, used it for our internal data warehouse. Easy to build and connect to our data sources such as Salesforce, Netsuite, and Marketo.
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Pros
Informatica
  • The matching algorithms in IDQ are very powerful if you understand the different types that they offer (e.g., Hamming Distance, Jaro, Bigram, etc..). We had to play around with it to see which best suit our own needs of identifying and eliminating duplicate customers. Setting up the whole process (e.g., creating the KeyGenerator Transformation, setting up the matching threshold, etc..) can be somewhat time consuming and a challenge if you don't first standardize your data.
  • The integration with PowerCenter is great if you have both. You can either import your mappings directly to PowerCenter or to an XML file. The only downside is that some of the transformations are unique to IDQ, so you are not really able to edit them once in PowerCenter.
  • The standardizer transformation was key in helping us standardize our customer data (e.g., names, addresses, etc..). It was helpful due to having create a reference table containing the standardized value and the associated unstandardized values. What was great was that if you used Informatica Analyst, a business analyst could login and correct any of the values.
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Qlik
  • It supports a wide variety of connectors (Systems/endpoints)
  • It provides great flexibility for developers as it not only has a lot of predefined ready to use the function but also provides the ability to use complex java code within the platform. Great tool if you have good developers available.
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Cons
Informatica
  • Several partnerships diminishing the value of technologies
  • Unable to get list of objects from Repository (like sources & targets) that don't have any dependency
  • Scheduling: The built-in scheduling tool has many constraints such as handling Unix/VB scripts etc. Most enterprises use third party tools for this.
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Qlik
  • The print and export functionality are missing in the Community version which frustrates a lot of our clients as well as internal users.
  • The learning curve is very steep for all Talend products including DQ.
  • Lack of easy to create workflows for jobs that can be repeated.
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Likelihood to Renew
Informatica
As pointed out earlier, due all the robust features IDQ has, our use f the product is successful and stable. IDQ is being used in multiple sources (from CRM application and in batch mode). As this is an iterative process, we are looking to improve our system efficiency using IDQ.
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Qlik
Lack of report export and publication! Steep learning curve!
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Usability
Informatica
Easy to use not only for developers but also business users
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Qlik
At this moment the usability of Talend Data Quality is optimal, too bad I cannot say the same in the first three months, it was always a problem due to its steep learning curve, but what matters is being able to use it effectively at this precise moment.
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Reliability and Availability
Informatica
The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server
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Qlik
No answers on this topic
Performance
Informatica
Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.
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Qlik
No answers on this topic
Support Rating
Informatica
No answers on this topic
Qlik
Talend Data Quality gave us direct help in the learning process and prevented us from taking many more months to adapt and I appreciate this from the heart, I think that thanks to the support we can have very detailed reports that help increase the use of Talend Data Quality in the company.
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Alternatives Considered
Informatica
Informatica Data Quality has a wide range of cleansing features, that are detailed, professional, and accurate in scaling down the required database. Further, Informatica Data Quality ensures there is proper collaboration, and this fosters businesses to have the freedom of working closely with several programs. Finally, Informatica Data Quality design is authentic and allows personalization.
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Qlik
The engine with which it works to process a lot of information is striking, the comparison also being the connectors it has for different RDBMS, which other tools do not count as they are GNU licenses or community editions. The friendly and intuitive environment is what catches the eye. that's why I choose Talend over any other tool
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Scalability
Informatica
Scalability works as expected and it is truly an enterprise system.
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Qlik
No answers on this topic
Return on Investment
Informatica
  • Integration with tools like PowerCenter helped faster delivery of product, and at the same time conversion
  • Reduce overall project cost due to bad data , bad quality, exceptions identified nearing go-live and post production
  • Employee efficiency is increased exponentially due to more automated, customized tool
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Qlik
  • Definitely simplified the development efforts on our end in doing the data integration, saving lots of human hours.
  • Small company, so cost could be a problem for these services, but works so far.
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ScreenShots