Informatica PowerCenter was data integration technology designed to form the foundation for data integration initiatives, application migration, or analytics. It is a legacy product.
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SSIS Data Flow Components
Score 8.1 out of 10
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Devart SSIS Data Flow Components are designed to simplify the ETL process within SQL Server Integration Services (SSIS) packages, allowing users to connect cloud applications and databases through their SSIS workflows without the need to write complex code. Export data from various sources to different file formats Import XML, CSV, and other files to cloud applications and databases Synchronize cloud applications and databases Migrate from one…
$549.95
one-time fee
Pricing
Informatica PowerCenter (legacy)
SSIS Data Flow Components
Editions & Modules
No answers on this topic
SSIS Integration Database Bundle
$549.95
one-time fee
SSIS Integration Cloud Bundle
$749.95
one-time fee
SSIS Integration Universal Bundle
$999.95
one-time fee
Offerings
Pricing Offerings
Informatica PowerCenter (legacy)
SSIS Data Flow Components
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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Purchase includes a perpetual product license and a 1 year of subscription which includes the product updates and premium support.
More Pricing Information
Community Pulse
Informatica PowerCenter (legacy)
SSIS Data Flow Components
Features
Informatica PowerCenter (legacy)
SSIS Data Flow Components
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
SSIS Data Flow Components
-
Ratings
Connect to traditional data sources
9.00 Ratings
00 Ratings
Connecto to Big Data and NoSQL
8.00 Ratings
00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Informatica PowerCenter (legacy)
7.5
Ratings
8% below category average
SSIS Data Flow Components
-
Ratings
Simple transformations
8.00 Ratings
00 Ratings
Complex transformations
7.00 Ratings
00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Informatica PowerCenter (legacy)
8.2
Ratings
3% above category average
SSIS Data Flow Components
-
Ratings
Data model creation
9.00 Ratings
00 Ratings
Metadata management
8.00 Ratings
00 Ratings
Business rules and workflow
9.00 Ratings
00 Ratings
Collaboration
6.10 Ratings
00 Ratings
Testing and debugging
9.00 Ratings
00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
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.
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.
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.
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.
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.
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)