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.
N/A
Oracle SQL Developer
Score 8.7 out of 10
N/A
Oracle SQL Developer is an integrated development environment (IDE) which provides editors for working with SQL, PL/SQL, Stored Java Procedures, and XML in Oracle databases.
If you have a database environment that gets frequent schema object change requests. erwin Data Modeler is a great tool for version control and release control. Also, it's very useful to communicate between database and application teams.
[Oracle SQL Developer is] best suited if your company works with different databases and needs a common SQL editor to manage and query data for its user. Oracle SQL Developer works very well with Oracle but also some other relational databases. If you do lot of querying and import/export in database, then this is tool for you. It's ideal for DBAs as well for data modeling, management, session monitoring, logging, versioning, etc. It’s not ideal for no relational/noSQL or big data. It is not tool for visualization. It’s best suited for querying using SQL. Companies that are looking for free tools that are robust and most useful should definitely look at it.
erwin Data Modeler allows only 25 entities in a trial version. It really limits you when you want to try out the product before actually deciding to pay for licensing cost. It would be rather helpful if they limit the trial period by days instead.
The UI is pretty good but sometimes the large diagrams are hard to manage. A little improvement in that area would be helpful.
Setup can be challenging if your schemas aren't well formed or managed. Also, the ability to model/develop extensions for an existing database solution will depend on how robust the DBA provisioned roles and designed the respective schemas.
Detailed analysis of models can be clunky for complex relational models.
The product is well designed and intuitive to use. The number of buttons and options can look a bit overwhelming initially but they come very handy when you get used to product.
Oracle SQL Developer is very easy to use and there are a wide range of courses available which can help you get started just within a day. Data can be exported in multiple formats based on user requirements. Organizational data can be stored and management effectively using Oracle SQL Developer. All the data, tables, sequences, indexes can be easily created and updated in Oracle SQL Developer.
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.
I have used few other data modeling tools like Toad Data Modeler and SQL Developer Data Modeler. erwin Data Modeler is easy to use and has additional features that make overall data modeling productive and easy to manage.
Oracle SQL Developer is available on multiple platforms, Windows Mac Linux and it's free. SQL Developer is best suited for a big cross functional globally based team. SQL Developer is less resource intensive, compared to other IDEs. SQL Developer has the capability to manage and develop Oracle Database in both on premise and Cloud deployments. SQL Developer can also connect and interact with non oracle database like MS SQL server and MySQL etc.
No impact on the organization's budget as Oracle SQL Developer is free.
With the increased productivity of our database administrators, they are able to better assist the software developers in prototyping future products.
Through Oracle SQL Developer, our administrators were able to normalize many of our databases, reducing the amount of redundancy, and hence increasing the performance of our main application.