Informatica Cloud Data Quality vs. Informatica PowerCenter

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
Informatica PowerCenter
Score 7.8 out of 10
N/A
Informatica PowerCenter is a metadata driven data integration technology designed to form the foundation for data integration initiatives, including analytics and data warehousing, application migration, or consolidation and data governance.N/A
Pricing
Informatica Cloud Data QualityInformatica PowerCenter
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica Cloud Data QualityInformatica PowerCenter
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 QualityInformatica PowerCenter
Considered Both Products
Informatica Cloud Data Quality
Chose Informatica Cloud Data Quality
We looked at other products. It was an easy decision because we already had experience with Informatica PowerCenter.
Chose Informatica Cloud Data Quality
IDQ is used by a department at my organisation to ensure and enhance the data quality. The usage was started with address standardization and now it had been brought to altogether a next level of quality check where it fixes duplicates, junk characters, standardize the names, …
Chose Informatica Cloud Data Quality
IDQ has good integration with Informatica Powercenter and helps to clean and transform the data
Chose Informatica Cloud Data Quality
We choose Informatica Data Qualtiy mainly because we had so many internal Informatica Powercenter Resources as well as it was easy to use and Analyst is user friendly tool for the clients / end users for quick glance at data
Chose Informatica Cloud Data Quality
SAP Info Steward. I have been using this tool in my past pharma organisation where the integration and target system was SAP. Though this integrates well but where far slower and had fewer quality checks than IDQ.
Informatica PowerCenter
Chose Informatica PowerCenter
PowerCenter can be run from different types of OSs and can integrate with multiple types of databases and applications compared to SSIS. PowerCenter performs better with any type of database due to its ability to use native drivers to read as well as load data. Due to its seam …
Chose Informatica PowerCenter
PowerCenter is the industry leader when it comes to interfacing with multiple source and target systems. The graphical interface increases employee productivity while reducing human resource expenditures and training requirements. These other tools offer some similar …
Top Pros
Top Cons
Features
Informatica Cloud Data QualityInformatica PowerCenter
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
Informatica PowerCenter
-
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
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Informatica Cloud Data Quality
-
Ratings
Informatica PowerCenter
8.5
18 Ratings
3% above category average
Connect to traditional data sources00 Ratings9.018 Ratings
Connecto to Big Data and NoSQL00 Ratings8.014 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Informatica Cloud Data Quality
-
Ratings
Informatica PowerCenter
7.5
18 Ratings
11% below category average
Simple transformations00 Ratings8.018 Ratings
Complex transformations00 Ratings7.018 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Informatica Cloud Data Quality
-
Ratings
Informatica PowerCenter
8.2
18 Ratings
0% above category average
Data model creation00 Ratings9.015 Ratings
Metadata management00 Ratings8.016 Ratings
Business rules and workflow00 Ratings9.018 Ratings
Collaboration00 Ratings6.116 Ratings
Testing and debugging00 Ratings9.017 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Informatica Cloud Data Quality
-
Ratings
Informatica PowerCenter
9.0
15 Ratings
9% above category average
Integration with data quality tools00 Ratings9.015 Ratings
Integration with MDM tools00 Ratings9.013 Ratings
Best Alternatives
Informatica Cloud Data QualityInformatica PowerCenter
Small Businesses
HubSpot Operations Hub
HubSpot Operations Hub
Score 8.1 out of 10
Skyvia
Skyvia
Score 9.6 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 QualityInformatica PowerCenter
Likelihood to Recommend
9.3
(20 ratings)
8.0
(21 ratings)
Likelihood to Renew
6.6
(14 ratings)
10.0
(4 ratings)
Usability
8.0
(1 ratings)
9.0
(3 ratings)
Availability
9.0
(2 ratings)
-
(0 ratings)
Performance
9.0
(1 ratings)
9.4
(2 ratings)
Support Rating
-
(0 ratings)
9.0
(2 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 QualityInformatica PowerCenter
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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Informatica
1.- Scenaries with poor sources of data is not recomended (Very bad ROI). The solution is for medium-big enterprises with a lot of sources of data and users. 2.- Bank and finance enviroment to integrate differente data form trading, Regulatory reports, decisions makers, fraud and financial crimes because in this kind of scenary the quality of data is the base of the business. 3.- Departments of development and test of applications in enterprises because you can design enviroments, out of the production systems, to development and test the new API's or updateds made.
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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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Informatica
  • Informatica Powercenter is an innovative software that works with ETL-type data integration. Connectivity to almost all the database systems.
  • Great documentation and customer support.
  • It has a various solution to address data quality issues. data masking, data virtualization. It has various supporting tools or MDM, IDQ, Analyst, BigData which can be used to analyze data and correct it.
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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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Informatica
  • There are too many ways to perform the same or similar functions which in turn makes it challenging to trace what a workflow is doing and at which point (ex. sessions can be designed as static or re-usable and the override can occur at the session or workflow, or both which can be counter productive and confusing when troubleshooting).
  • The power in structured design is a double edged sword. Simple tasks for a POC can become cumbersome. Ex. if you want to move some data to test a process, you first have to create your sources by importing them which means an ODBC connection or similar will need to be configured, you in turn have to develop your targets and all of the essential building blocks before being able to begin actual development. While I am on sources and targets, I think of a table definition as just that and find it counter intuitive to have to design a table as both a source and target and manage them as different objects. It would be more intuitive to have a table definition and its source/target properties defined by where you drag and drop it in the mapping.
  • There are no checkpoints or data viewer type functions without designing an entire mapping and workflow. If you would like to simply run a job up to a point and check the throughput, an entire mapping needs to be completed and you would workaround this by creating a flat file target.
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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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Informatica
Our team enjoys using Informatica and feels that it is one of the best ETL tools on the market.
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Usability
Informatica
Easy to use not only for developers but also business users
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Informatica
Positives; - Multi User Development Environment - Speed of transformation - Seamless integration between other Informatica products. Negatives; - There should be less windows to maintain developers' focus while using. You probably need 2 big monitors when you start development with Informatica Power Center. - Oracle Analytical functions should be natively used. - E-LT support as well as ETL support.
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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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Informatica
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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Informatica
PowerCenter is robust and fast, and it does a great job meeting all the needs, not just the most commercially vocal needs. In the hands of an expert power user, you can accomplish almost anything with your data. It is not for new users or intermittent users-- for that the Cloud version is a better fit. Be prepared for costly connectors (priced differently for each source or destination you are working with), and just be planful of your projects so you are not paying for connectors you no longer need or want
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Support Rating
Informatica
No answers on this topic
Informatica
Informatica power center is a leader of the pack of ETL tools and has some great abilities that make it stand out from other ETL tools. It has been a great partner to its clients over a long time so it's definitely dependable. With all the great things about Informatica, it has a bit of tech burden that should be addressed to make it more nimble, reduce the learning curve for new developers, provide better connectivity with visualization tools.
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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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Informatica
While Talend offers a much more comfortable interface to work with, Informatica's forte is performance. And on that front, Informatica Enterprise Data Integration certainly leaves Talend in the dust. For a more back-end-centric use case, Informatica is certainly the ETL tool of choice. On the other hand, if business users would be using the tool, then Talend would be the preferred tool.
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Scalability
Informatica
Scalability works as expected and it is truly an enterprise system.
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Informatica
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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Informatica
  • The data pipeline automation capability of Informatica means that few resources are needed to pre-process the data that ultimately resides in a Data Warehouse. Once a workflow is implemented, manual intervention is not needed.
  • PowerCenter did require more resources and time for installation and configuration than was expected/planned for.
  • The lack of or minimal support of unstructured data means that newer sources of dynamic/changing data cannot be easily processed/transformed through PowerCenter workflows.
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