ER/Studio is a database development and management tool from Embarcadero Technologies (acquired by Idera) in California.
$1,470.40
one-time fee per user
DataGrip
Score 9.2 out of 10
N/A
DataGrip, from JetBrains, is a database IDE that is tailored to suit the specific needs of professional SQL developers.
$9.90
per month per user
Pricing
ER/Studio Data Architect
DataGrip
Editions & Modules
No answers on this topic
For Individuals
$99
per year per user
For Organizations
$229
per year per user
All Products Pack for Individuals
$289
per year per user
All Products Pack for Organizations
$779
per year per user
Offerings
Pricing Offerings
ER/Studio Data Architect
DataGrip
Free Trial
Yes
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
Pricing for new customers only, first year maintenance included. Maintenance includes access to technical support and product updates for the defined period of the agreement.
Data Architect is well suited at organizations of all sizes. It is never too early or unnecessary to enforce proper modelling and design standards on data solutions, and this tool will help that greatly by providing an industry leading data modelling tool, ability to import ETL mappings for data lineage, enforcing and managing naming conventions through the naming convention tool, and publishing of data dictionaries through the report publisher. I was successfully able to build models, provide traceability, and document source to target with lineage throughout for both the business (by providing business definitions in the descriptions), and technical teams (by documenting ETL instructions in text fields) along with field level mapping (by creating "Attachments" representing data sources, tables, and fields) providing easy search capabilities using business friendly terms
You will like DataGrip; it is the best software to channel and influence data systems and efficiently. It will help you be more efficient and productive in exporting computer data; it is very effective. There are no errors, and you will feel comfortable using them. It promotes data quality and has excellent graphics to represent your information through statistical processes.
ER/Studio has the ability to provide consistent field names and data types through domains, which are templates. This provides a way to have consistent naming of common fields, like CreatedBy and the data types for the fields. They also have the ability to change all the fields that use that domain to a different data type.
ER/Studio provides the ability to create custom macros. These macros can be used to apply everything from standard fields based on domains to naming all constraints and indexes. I've also used a macro that comes with ER/Studio to spell check field and table names.
My favorite feature is the ability to compare your data model to databases for deployments of changes, and to other data models.
ER\Studio licensing can be cumbersome and upgrading from one version to another usually takes several phone calls and emails to the licensing group to get the update installed and running.
The repository can be slow when the model count gets larger. By large I mean 20 to 30 models.
A nice feature that I would like to see is table comments be displayed on the model along with the attributes. Currently you have to choose between the two.
Usability has two aspects, being a complete tool and being easy... DataGrip has a lot of features but it is big, not clear how to use most of the things and most people won't need them. In my opinion, usability is good enough but not friendly.
I can call or email support and both get quick turn around. The only issue is they are on the west coast (US) and have a west coast work schedule and I'm on the East coast.
DataGrip provides a single UI for many DBMS platforms, instead of using one for each. Because of that, you can migrate things between platforms using the tool and "look across" all databases at once.
ER/Studio has had a positive impact on my project as we can develop the data model and have a clear understanding of business needs before we continue with the development phase.
