Datameer vs Informatica PowerCenter

• It leverages scalability, flexibility and cost-effectiveness of hadoop to deliver an end-user focused analytic platform for big data without involvement of IT.
• It overcomes Hadoop`s complexity by providing GUI interface with pre-built functions across integration, analytics and data visualization .
• Excel feature is awesome for business users which is already provided by Datameer.
• Using datameer now user can do smart analytic using Decision Trees, Column dependency and recommendation.
• Recently HTML5 inclusion is making application to available on a wider range of devices, including the iPad and other mobile devices which does not support Flash.
• It can be used in premise or in a cloud computing environment.
• Wizard-based data integration designed for IT and business users to schedule and do transformation of large sets of structured, semi-structured and unstructured data without any knowledge of Hadoop ecosystem.

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• 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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• Data visualization and graphics. Right now it's not very user friendly. Creating dashboards requires a lot of work that can be done by the application

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• 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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• Datameer definitely helped to increase employee efficiency, provide quick results for our data analytic teams.
• Quick data injection and data partitions allowed quick data scans.
• Integration with the Java sdk allowed us to reuse existing Java code.

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• Positive - Easy to maintain processes built in Informatica Power Center.
• Positive - Rapidly build and deploy ETL data mappings.
• Positive - Develop the overall workflow process to run all ETL processes for the project.
• Negative - Informatica Power Center can be a bit expensive, so your application needs to warrant the enterprise support.

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