What is dbForge Query Builder for SQL Server ?
It is a smart SQL statement builder tool for quick and easy designing of complex SQL queries without manual code writing. It allows users to effortlessly build complex SQL queries via an intuitive visual interface without manual code writing quickly and easily.
dbForge Query Builder for SQL Server is a tool in the Database Tools category of a tech stack.
Who uses dbForge Query Builder for SQL Server ?
dbForge Query Builder for SQL Server Integrations
Pros of dbForge Query Builder for SQL Server
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dbForge Query Builder for SQL Server 's Features
- Visual query diagram
- Creation of sub-queriesDesigning DML queries
- SQL code beautifier
- Visual query profiling
- Foreign key lookup editor
- Data Export to 10 formats
- Data management
dbForge Query Builder for SQL Server Alternatives & Comparisons
What are some alternatives to dbForge Query Builder for SQL Server ?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system
that supports an extended subset of the SQL standard, including
transactions, foreign keys, subqueries, triggers, user-defined types
and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
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