Data Virtuality, headquartered in Leipzig, offers two products to solve data integration and management problems in a tailored way that best suits data teams in the fast-paced world of data. The Data Virtuality Platform combines data virtualization and data replication, Data Virtuality Platform provides data teams the flexibility to always choose the right method for the specific requirement. It is an enabler for Data Fabric and Data Mesh by providing the self-service capabilities and data…
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Informatica PowerCenter (legacy)
Score 7.9 out of 10
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Informatica PowerCenter was data integration technology designed to form the foundation for data integration initiatives, application migration, or analytics. It is a legacy product.
Data Virtuality Platform has powerful transformation and
scheduling capabilities combined with the best support team. A virtual data
layer that supports SQL procedures is a game changer. Data Virtuality has made
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, …
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 …
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 …
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 …
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 …
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 …
Microsoft SSIS, Ab Initio and IBM DataStage are evaluated against Informatica. Informatica scored well on licensing, hardware infrastructure flexibility and Big Data connectivity
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 …
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 …
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 …
Data Virtuality Platform's best and most unique feature is that it is SQL-based, giving us flexibility when working with our data that other marketing integration pipeline tools couldn't provide. Our main benefits are the short time it takes to connect to our data sources and the flexibility of the virtual SQL layer to meet our end users' data needs. It paves the way for us to tap into various data repositories, extract the data contained within, and examine it. It allows us to access information, generate actionable reports, and make data-driven decisions. However, inadequate data governance rules and a complex configuration process make data connectors challenging.
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.
Data Virtuality Platform has powerful transformation and scheduling capabilities combined with the best support team. A virtual data layer that supports SQL procedures is a game changer. Data Virtuality has made data management more efficient. It lets us access various data sources, extract, and analyze data. The short time it takes to connect to our data sources and the flexibility of the virtual SQL layer allows us to meet our end users' data needs.
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)