erwin Data Modeler vs. SAP Data Quality Management

I have had a chance to use few other data modeling tools from Quest and Oracle, but I am most comfortable using erwin Data Modeler. They understand your data modeling needs and have designed the software to give you a feeling of completeness when you are designing a data model.

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When reporting, we use accurate data with no duplications since they are addressed by SAP DQM, we get the right target audience by analyzing marketing data, and also helps us to understand the current situation of our firm by comparing metrics.

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• Reverse Engineering: I love the way we can import an SQL file containing schema meta data and generate ER diagram out of it. This is specifically useful if you are implementing erwin Data Modeler for an existing database.
• Forward Engineering: We use this feature very frequently. Where we do database changes in our physical and logical data models and then generate deployment scripts for the changes made.
• Physical vs Logical Models: I like to have my database model split into physical and logical models and at the same time still linked to each other. Any changes you make to logical model or physical model shows up in the other.

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• Eliminate all data duplicates, which affects the space and the inefficiency of the database.
• Further, SAP Data Quality Management has determined address cleaner, very friendly in making systems and data verification a success.
• Simplistic customization strategies, that personalize all the business processes.

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• Cost is the single largest barrier to entry with this tool.
• Would like to see a greater variety of export options available for use outside of the tool, for example as a vector graphic.
• Support has been uneven at times.

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• Does not support three-dimensional databases
• Does not allow multi-hosting of server
• Does not allow multi data hosting and data mirroring for data safety

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I had a lot of experience using erwin Data Modeler for designing data models. I think it's pretty intuitive and easy to use. It has enough features to represent your database requirements in form of a model.

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CA customer support and our account manager have been able to support us with any issues that we have had, from managing our serial keys to issues we logged tickets to resolve. There are aspects of key management that have made it difficult over the years but support usually has worked with us.

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As with other SAP products, there is excellent support from SAP on this new tool.

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Not listed, but I've only used alternatives built into something like the Squirrel SQL editor. That one is semi-functional but lacking many features and, in some instances, just plain wrong. The only pro there is that it's freely available and works over ODBC. I've tried some of the other free ones like Creately but didn't have much success.

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SAP Data Quality supports the integration with significant sources, but security and accuracy are maintained and enhanced. Besides, SAP Data Quality eliminates the data duplicates, a solution that saves on space, and improves the loading power of any system. More so, SAP Data Quality plays a vital role in data monitoring, which concentrates on authentic processes and efficient system management.

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Independently Invited by TrustRadius

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• It is difficult to assign a monetary value to it. The initial learning curve was fairly long.
• It allows us to have better support documentation.
• It allows ease of communications between functional units.

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• Data connectivity and integration back up any analytical procedures, hence, offering top-notch and standard results.
• The data preparation and security outlines make businesses stand and have real-time decisions.
• Finally, SAP Data Quality has a focused storage platform, that governs and controls even the largest database.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info