By
Devart
DevartdbForge SQL Complete
What is dbForge SQL Complete?
It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.
dbForge SQL Complete is a tool in the Databases category of a tech stack.
Key Features
SQL Code Completion — the add-in will take care of autocompleting your SQL queries, so that you can stay focussed on how your code actually worksT-SQL Refactoring — allows you to improve code readability by giving meaningful and self-explaining names to tables, columns, temporary tables and columns, views, stored procedures, and functions. SQL Complete will automatically correct all references to the renamed objectsCode Beautifying — еase of navigation, instant access to the database objects definition, and other advanced options greatly facilitate SQL statements designing and formattingSQL Code Formatting — сreate new formatting profiles or customize the existing ones to your needs. Fine-tune your formatting style to easily improve code readability and to introduce unified code formatting standards within your company
dbForge SQL Complete Pros & Cons
Pros of dbForge SQL Complete
- ✓Sql autocomplete
- ✓Code Refactoring
- ✓Intelligent SQL completion and suggestion
- ✓Productivity Extension
- ✓T-SQL formatting and code standardizing
Cons of dbForge SQL Complete
No cons listed yet.
dbForge SQL Complete Alternatives & Comparisons
What are some alternatives to dbForge SQL Complete?
Slick
It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
Spring Data
It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
Dataform
Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.
