Informatica Cloud Data Quality vs. Oracle Enterprise Data Quality

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
Oracle Data Quality
Score 9.5 out of 10
N/A
Oracle Enterprise Data Quality is, as the name would suggest, a data quality offering from Oracle for enterprises.N/A
Pricing
Informatica Cloud Data QualityOracle Enterprise Data Quality
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica Cloud Data QualityOracle Data Quality
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 QualityOracle Enterprise Data Quality
Considered Both Products
Informatica Cloud Data Quality
Chose Informatica Cloud Data Quality
There was not an evaluation period, since the product was already purchased by my company. I performed the installation and did the implementation.
Oracle Data Quality
Chose Oracle Enterprise Data Quality
Oracle Enterprise Data Quality is affordable and I find it more resourceful. Using it is easy too thanks to the improved UI.
Top Pros
Top Cons
Features
Informatica Cloud Data QualityOracle Enterprise Data Quality
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
Oracle Enterprise Data Quality
9.6
7 Ratings
7% above category average
Data source connectivity9.36 Ratings9.57 Ratings
Data profiling9.26 Ratings10.07 Ratings
Master data management (MDM) integration8.96 Ratings9.57 Ratings
Data element standardization8.26 Ratings9.57 Ratings
Match and merge8.76 Ratings9.57 Ratings
Address verification9.06 Ratings9.56 Ratings
Best Alternatives
Informatica Cloud Data QualityOracle Enterprise Data Quality
Small Businesses
HubSpot Operations Hub
HubSpot Operations Hub
Score 8.1 out of 10
HubSpot Operations Hub
HubSpot Operations Hub
Score 8.1 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Informatica Cloud Data QualityOracle Enterprise Data Quality
Likelihood to Recommend
9.3
(20 ratings)
9.5
(7 ratings)
Likelihood to Renew
6.6
(14 ratings)
-
(0 ratings)
Usability
8.0
(1 ratings)
-
(0 ratings)
Availability
9.0
(2 ratings)
-
(0 ratings)
Performance
9.0
(1 ratings)
-
(0 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 QualityOracle Enterprise Data Quality
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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Oracle
When it comes to cleaning large data, for instance customer data, Oracle Enterprise Data Quality comes in handy and offers best features that makes it easy to clean data and visualize any flows
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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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Oracle
  • Ease of management within Oracle Data Integrator (ODI) and effectivity of EDQ Director
  • Ease of installation with web based client.
  • Data Quality issues solved quickly, easily and jobs are controlled within Oracle Data Integrator (ODI) seamlessly.
  • Setup is straightforward. Java web application (OEDQ Director) helped us for not installing any client application.
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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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Oracle
  • Oracle Data Quality requires a mobile version, which would apprehend many users.
  • Oracle Data Quality has an inflexible UI, which should be more enhanced.
  • Oracle Data Quality fails to revise prices, which are candid solutions in controlling the number of subscribers.
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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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Oracle
No answers on this topic
Usability
Informatica
Easy to use not only for developers but also business users
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Oracle
No answers on this topic
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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Oracle
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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Oracle
No answers on this topic
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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Oracle
I know of TDQ. We looked at the feature of TDQ and decided due to the license cost that we would use EDQ
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Scalability
Informatica
Scalability works as expected and it is truly an enterprise system.
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Oracle
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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Oracle
  • OEDQ reduces a lot of the manual work to review bad addresses.
  • OEDQ helps to validate similar records and make it easier to keep customer loyalty.
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