Informatica Cloud Data Quality vs. SAS Data Management

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Informatica Cloud Data Quality
Score 8.4 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
SAS Data Management
Score 8.0 out of 10
N/A
A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.N/A
Pricing
Informatica Cloud Data QualitySAS Data Management
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica Cloud Data QualitySAS Data Management
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
Features
Informatica Cloud Data QualitySAS Data Management
Data Quality
Comparison of Data Quality features of Product A and Product B
Informatica Cloud Data Quality
8.9
6 Ratings
2% above category average
SAS Data Management
-
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
SAS Data Management
8.3
10 Ratings
0% below category average
Connect to traditional data sources00 Ratings8.610 Ratings
Connecto to Big Data and NoSQL00 Ratings8.19 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Informatica Cloud Data Quality
-
Ratings
SAS Data Management
6.7
8 Ratings
20% below category average
Simple transformations00 Ratings6.18 Ratings
Complex transformations00 Ratings7.48 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Informatica Cloud Data Quality
-
Ratings
SAS Data Management
6.7
8 Ratings
18% below category average
Data model creation00 Ratings5.56 Ratings
Metadata management00 Ratings7.47 Ratings
Business rules and workflow00 Ratings6.67 Ratings
Collaboration00 Ratings7.07 Ratings
Testing and debugging00 Ratings6.17 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Informatica Cloud Data Quality
-
Ratings
SAS Data Management
7.9
9 Ratings
5% below category average
Integration with data quality tools00 Ratings7.69 Ratings
Integration with MDM tools00 Ratings8.27 Ratings
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Informatica Cloud Data QualitySAS Data Management
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User Ratings
Informatica Cloud Data QualitySAS Data Management
Likelihood to Recommend
9.3
(20 ratings)
7.6
(11 ratings)
Likelihood to Renew
6.6
(14 ratings)
9.0
(2 ratings)
Usability
8.0
(1 ratings)
6.0
(2 ratings)
Availability
9.0
(2 ratings)
-
(0 ratings)
Performance
9.0
(1 ratings)
9.0
(1 ratings)
Support Rating
-
(0 ratings)
7.7
(6 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 QualitySAS Data Management
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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SAS
When data is in a system that needs a complex transformation to be usable for an average user. Such tasks as data residing in systems that have very different connection speeds. It can be integrated and used together after passing through the SAS Data Integration Studio removing timing issues from the users' worries. A part that is perhaps less appropriate is getting users who are not familiar with the source data to set up the load processes.
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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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SAS
  • SAS/Access is great for manipulating large and complex databases.
  • SAS/Access makes it easy to format reports and graphics from your data.
  • Data Management and data storage using the Hadoop environment in SAS/Access allows for rapid analysis and simple programming language for all your data needs.
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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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SAS
  • Requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres.
  • Debugging errors from the logs is a complicated process.
  • E-mail alert system is very primitive and needs customization to make it more modern,
  • Cannot send SMS alerts for jobs.
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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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SAS
We are happy with the software and its functionality. As a SAS-shop, DataFlux is a logical choice for complex data integration.
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Usability
Informatica
Easy to use not only for developers but also business users
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SAS
The main negative point is the use of a non-standard language for customizations, as well as the poor integration with non-SAS systems. However, there is no doubt that it is a high-performance and powerful product capable of responding optimally to certain requirements.
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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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SAS
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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SAS
It worked as expected.
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Support Rating
Informatica
No answers on this topic
SAS
With SAS, you pay a license fee annually to use this product. Support is incredible. You get what you pay for, whether it's SAS forums on the SAS support site, technical support tickets via email or phone calls, or example documentation. It's not open source. It's documented thoroughly, and it works.
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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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SAS
Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.
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Scalability
Informatica
Scalability works as expected and it is truly an enterprise system.
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SAS
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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SAS
  • We have more users who can connect to the many different data sources.
  • Our users do have existing SAS programming knowledge and that can carry over.
  • Business functions are starting to rely on SAS Data Integration Studio work product shortly after introduction.
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