erwin Data Modeler by Quest is a data modeling tool used to find, visualize, design, deploy and standardize high-quality enterprise data assets. It can discover and document any data from anywhere for consistency, clarity and artifact reuse across large-scale data integration, master data management, metadata management, Big Data, business intelligence and analytics initiatives, accomplishing this whil esupporting data governance and intelligence efforts.
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Redgate SQL Toolbelt Essentials
Score 8.9 out of 10
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Redgate's SQL Toolbelt Essentials includes industry-standard tools for SQL Server development & deployment, enabling users to include SQL Server databases in agile processes and enabilng developers to embed robust and scalable development practices.
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.
We use SQL Compare to troubleshoot performance problems quite a bit since our data model is more like a template and not everything is 100% in sync and customization occurs between different client databases. We continually get pulled into performance issues and the developers will say Client A is performing different than Client B, why? Using SQL Compare, we usually find that one client was tuned and had indexes altered or added that weren't deployed to all clients or other objects weren't deployed correctly during the release. On the other hand, since our data model practices allow client databases to drift I tried to create a new golden image by trying to compare multiple databases based on the same data model and found it to be a very difficult process to complete using SQL Compare. SQL Compare gave me too much information and doesn't allow enough filtering to eliminate a lot of the noise.
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.
Simple and easy comparison of database schemas and data. Differences can be copied or synced from one database to another with a click of a button.
You can save "projects" so that you can easily rerun a previous comparison whenever you need to.
It has a very simple, easy to learn interface. I've never needed to read any documentation or watch any tutorials in order to figure out how to do something.
Pricing.... I wish there was an inexpensive developer version I could buy for myself.
Portability.... I would like to use it from a flash drive so I can use it where ever I am asked to work.
Unbundled.... This may be available already but I dont' recall I can buy it cheaply as a stand-alone product. Its only part of the bundle - cost effectively.
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.
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.
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.
I've used Visual Studio Database Projects for this type of work in the past with some success, but Redgate SQL Compare is faster, more transparent, and simply easier to use. Faster is self explanatory. More transparent, means that it's much easier to set up your desired options for schema change deployment scripts. Easier to use, It's really dead simple. Start a project, connect your source, connect destination, click compare.
