erwin Data Modeler vs. Navicat

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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Navicat Premium is a very well-rounded tool with a reasonable licensing fee given its feature set. It is primarily suited for technical resources who must work with a variety of different database systems, but who may not be database or command line tool wizards. However, its query building and job batch scheduling feature support end-users as they build competency, and it continues to hold its value even as users outgrow their training wheels. Navicat is probably not so appropriate for DBAs and others for whom database development and management is already a career path; these folks have their preferred toolsets, both vendor-supplied and homegrown, and they might consider the additional licensing cost to outweigh the value they'd personally get out of Navicat.

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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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• Really helpful auto-completion.
• Can connect to multiple (different) database types simultaneously.
• Can generate some really impressive charts.
• The new data dictionary tool is great!

• 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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• Remote deploy databases
• Clone databases

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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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There is quite a lot to learn because Navicat Premium is a very comprehensive database management and development tool, but it's User Interface is intuitive enough to pick up fairly quickly. I have also referred to the documentation on occasion, and can attest that it is quite good. I feel that it works best on a large monitor, but that's fairly common for this sort of software.

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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Very robust online community and well as excellent support staff. Easy to follow video tutorials. Detailed sample configurations are provided with guided walk-throughs via remote classroom instruction. Very fast response from support staff. No internal hires were necessary for support as vendor support staff fully met all technical expertise. 24/7 incident reporting and tracking is great.

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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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Navicat allows for easier querying of data while still allowing for visualization and modeling

• 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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• Assisting new employees with understanding our DB
• Reduce debugging and testing time with being able to visualize data/queries
• Allowing non-SQL users to execute queries to get real-time data.

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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