Informatica PowerCenter (legacy) vs. SAS Data Management

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Informatica PowerCenter (legacy)
Score 7.9 out of 10
N/A
Informatica PowerCenter was data integration technology designed to form the foundation for data integration initiatives, application migration, or analytics. It is a legacy product.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 PowerCenter (legacy)SAS Data Management
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Informatica PowerCenter (legacy)SAS 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
Community Pulse
Informatica PowerCenter (legacy)SAS Data Management
Considered Both Products
Informatica PowerCenter (legacy)
Chose Informatica PowerCenter (legacy)
Basically the two solutions have, more or less, the same functions and features.The difference, for me, is that ThreatQuotient make more features over the security and I think is oriented to a SOC enviroments.

InformaticaExchange Connectors is oriented to the quality, …
Chose Informatica PowerCenter (legacy)
Informatica PowerCenter is highly flexible and scalable for different types of data and it has any inbuilt function to transform our data into the meta data structure. Some of the tool sets such as TDM, is good in some ways but need EBF more than often when running into any …
Chose Informatica PowerCenter (legacy)
This is great tool to handle large data in multiple data sources.
Chose Informatica PowerCenter (legacy)
Informatica is a mature enterprise data integration platform for ETL jobs. Informatica has a suite full of tools other than PowerCenter that can be used for various use cases. It makes sense to know what the entire suite offers rather than just power center so large …
Chose Informatica PowerCenter (legacy)
Informatica Power Center was already selected by my company before me. I just learned the software and started using it.
Chose Informatica PowerCenter (legacy)
PowerCenter is simply so robust and refined that most other apps cannot do as much as it can. Even Informatica’s own Cloud version is so anemic as to not even compare against it. While from that perspective it feels bloated with too much to navigate through, many of those …
Chose Informatica PowerCenter (legacy)
Alternatives:
  • Talend (open source, cheaper, longer development time, not intuitive UI, harder to troubleshoot, etc)
  • Pentaho (cheaper, better talend)
Chose Informatica PowerCenter (legacy)
SSIS is a good entry into ETL, for smaller organizations or Microsoft-centric companies. It's strengths lie in its ease-of-use, quick turnaround, and simplicity. Its weaknesses lie in scalability and re-usability (you can achieve re-usability, however segmentation is at the …
Chose Informatica PowerCenter (legacy)
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 …
Chose Informatica PowerCenter (legacy)
Microsoft SSIS, Ab Initio and IBM DataStage are evaluated against Informatica. Informatica scored well on licensing, hardware infrastructure flexibility and Big Data connectivity
Chose Informatica PowerCenter (legacy)
Much easier to learn and better performance
Chose Informatica PowerCenter (legacy)
Informatica tool is easy to use and easy to maintain, it also performs well, which are the major reasons my company selected it.
Chose Informatica PowerCenter (legacy)
PowerCenter is very similar to DataStage, in that they both deal with the movement and manipulation of data from one source/system to another. As we use both extensively at my company, I cannot say how it compares beyond that both are well liked and widely used. I would assume …
Chose Informatica PowerCenter (legacy)
  1. Powercenter provides lots of features to implement mapping rules.
  2. Very easy to design, develop and maintain ETL code.
  3. Easily integrate with its other products like IDQ and MDM.
Chose Informatica PowerCenter (legacy)
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 (legacy)
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 …
Chose Informatica PowerCenter (legacy)
Because of these key features :
  • Industry-leading data integration technology
  • Proven best-practice implementation methodology
SAS Data Management
Chose SAS Data Management
The product is best when combined with the other products of the SAS suite. In particular, it's great for the preparation, analysis and display of the data if it is carried out with the products indicated above. When it is combined with products other than those of the SAS …
Chose SAS Data Management
SAS Data Management Platform requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres. Has almost all features present as compared to the alternatives we evaluated. On top of it, SAS offered statistical transformations and strong metadata …
Chose SAS Data Management
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.
Chose SAS Data Management
Because SAS Data Integration Studio is the third party it seems to work equally well with all our systems. That is to say that it doesn't really work better with Microsoft or Oracle but really just seems to work equally well with all of them. It has a very powerful back-end …
Chose SAS Data Management
Datastage might be the closest one. Being a full ETL tool, it's weird to compare both. Datastage might be more robust for extraction but it lacks the simplicity that the end users need for everyday data extract and analysis.
Chose SAS Data Management
SAS/Access can work well with MySQL. There are some coding differences between the two, for example how missing values are handled or rules for variable names. MySQL has simpler coding, but if you are familiar with Base SAS, it is not too difficult to learn. With SAS/Access the …
Chose SAS Data Management
SAS integration is not easy because there are various PAM related modules which require additional vendor involvement. Overall once all integrations are set up, it's a great tool and provides multiple options to users for running their model.
Features
Informatica PowerCenter (legacy)SAS Data Management
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Informatica PowerCenter (legacy)
8.5
Ratings
1% above category average
SAS Data Management
8.3
Ratings
1% below category average
Connect to traditional data sources9.00 Ratings8.60 Ratings
Connecto to Big Data and NoSQL8.00 Ratings8.10 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Informatica PowerCenter (legacy)
7.5
Ratings
8% below category average
SAS Data Management
6.7
Ratings
20% below category average
Simple transformations8.00 Ratings6.10 Ratings
Complex transformations7.00 Ratings7.40 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Informatica PowerCenter (legacy)
8.2
Ratings
3% above category average
SAS Data Management
6.7
Ratings
17% below category average
Data model creation9.00 Ratings5.50 Ratings
Metadata management8.00 Ratings7.40 Ratings
Business rules and workflow9.00 Ratings6.60 Ratings
Collaboration6.10 Ratings7.00 Ratings
Testing and debugging9.00 Ratings6.10 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Informatica PowerCenter (legacy)
9.0
Ratings
10% above category average
SAS Data Management
7.9
Ratings
3% below category average
Integration with data quality tools9.00 Ratings7.60 Ratings
Integration with MDM tools9.00 Ratings8.20 Ratings
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User Ratings
Informatica PowerCenter (legacy)SAS Data Management
Likelihood to Recommend
8.0
(0 ratings)
7.6
(0 ratings)
Likelihood to Renew
10.0
(0 ratings)
9.0
(0 ratings)
Usability
9.0
(0 ratings)
6.0
(0 ratings)
Performance
9.4
(0 ratings)
9.0
(0 ratings)
Support Rating
9.0
(0 ratings)
7.7
(0 ratings)
User Testimonials
Informatica PowerCenter (legacy)SAS Data Management
Likelihood to Recommend
Informatica Powercenter is the centerpiece of our overall enterprise data warehouse strategy. It's a critical enablement to ensure we can feed in multiple data stream and transform them into digestible data within our data warehouse. With its flexible capabilities and API availability, we were able to feed in industry standard data format as well as home grown data structure. Overall, we are very pleased with their capability and contribution to our data warehouse strategy.
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SAS/Access is well suited for companies who need to manipulate and analyze large databases and data-sets. It does the same thing as SQL, and if you already know basic SAS coding it is easier to pick up. SAS/Access works well with analyzing data from multiple data-sources at once, including large databases stored in external and virtual environments like Hadoop. Data can be easily reassembled from relational databases for use by the user. SAS/Access is not necessary if you are only pulling data from one database that you have the physical file for.
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Pros
  • Informatica has a wide range of support for databases. Pretty much every mainstream DBMS is compatible here.
  • Designing ETL mappings and workflows is a very intuitive process, and takes minimal learning time and effort even for a beginner.
  • Informatica's biggest strength is its sheer performance. It is unmatched in terms of handling large volumes of data.
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  • SAS supports the main database connection options that allow you to optimize the performance of your extracts and loads.
  • Simplicity of the syntax for a basic connection.
  • Ability to configure by an administrator in a BI environment so that all users can benefit from the connection without having to establish it by themselves.
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Cons
  • One of the challenges of PowerCenter is the lack of integration between the components and functionality provided by PowerCenter. PowerCenter consists of multiple components such has the repository service, integration service, metadata service. Considerable time and resources were required to install and configure these components before PowerCenter was available for use.
  • In order to connect to various data sources such as Netezza database or SAS datasets, PowerCenter requires the installation and configuration of separate plug-ins. We spent considerable time trouble-shooting and debugging problems while trying to get the various plug-ins integrated with PowerCenter and get them up and running as described in the documentation.
  • PowerCenter works well with structured data. That is, it is easy to work with input and output data that is pre-defined, fixed, and unchanging. It is much more difficult to work with dynamic data in which new fields are added or removed ad-hoc or if data format changes during the data ingest process. We have not been as successful in using PowerCenter for dynamic data.
  • One of the challenges of learning PowerCenter is that it is difficult to find documentation or publications that help you learn the various details about PowerCenter software. Unlike SAS Institute, Informatica does not publish books about PowerCenter. The documentation available with PowerCenter is sparse; we have learned many aspects of this technology through trial and error.
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  • It is a versatile product but sometimes difficult to use due to the very close link with the proprietary programming language where specific knowledge is required.
  • Compared to competitors on the market that offer the same functions for the integration perimeter, it is certainly very expensive.
  • It is very simple to use when combined with products from the SAS suite, less so it is being used stand-alone or integrated with other well-known brands.
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Likelihood to Renew
Our team enjoys using Informatica and feels that it is one of the best ETL tools on the market.
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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
The tool is very flexible and will meet most, if not all, of your data transformation needs. It is an expert-level tool, so building your knowledge-base and user-base (and keeping that base healthy!) is very important. But it will pay off with strong data management and the ability to leverage that data in ways you haven’t thought of yet. Bottom line, data is money, and PowerCenter helps you monetize your data.
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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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Performance
Positives; - Multi-user development environment. - The speed of transformation. - Seamless integration with other Informatica products. Negatives; - There should be fewer windows, to maintain developers' focus while using. You probably need two 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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It worked as expected.
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Support Rating
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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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
Basically the two solutions have, more or less, the same functions and features.The difference, for me, is that ThreatQuotient make more features over the security and I think is oriented to a SOC enviroments. InformaticaExchange Connectors is oriented to the quality, integration and distribution of the data in order to ensure the reliability and access of data from different sources, as well as the integration in a single repository of enterprise data (External/internal)
Read full review
Because SAS Data Integration Studio is the third party it seems to work equally well with all our systems. That is to say that it doesn't really work better with Microsoft or Oracle but really just seems to work equally well with all of them. It has a very powerful back-end that allows us to transform and load our data quickly and efficiently programmer time wise.
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Return on Investment
  • PowerCenter has been instrumental in being the center of all data movement within the organization.
  • It has also provided a foundation for which re-usability and scalability are the focus.
  • Finding talent with experience and expertise in PowerCenter is far more likely due to its presence and market share.
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  • The platform enabled us to have a single repository of customers to run campaigns on.
  • Feedback from various campaigns is stored in a single database, which makes running A/B analysis easier.
  • Helped improve data quality due to SAS Dataflux being a part of the SAS Data Management Platform.
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