What is dbForge Studio for PostgreSQL?
It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.
dbForge Studio for PostgreSQL is a tool in the Database Tools category of a tech stack.
Who uses dbForge Studio for PostgreSQL?
Companies
Developers
83 developers on StackShare have stated that they use dbForge Studio for PostgreSQL.
dbForge Studio for PostgreSQL Integrations
Pros of dbForge Studio for PostgreSQL
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dbForge Studio for PostgreSQL's Features
- SQL Development
- Query Profiler
- Database Explorer
- Data Export and Data Import
- Pivot Table
- Master-Detail Browser
- Data Reports
dbForge Studio for PostgreSQL Alternatives & Comparisons
What are some alternatives to dbForge Studio for PostgreSQL?
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.
DataGrip
A cross-platform IDE that is aimed at DBAs and developers working with SQL databases.
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.
Microsoft SQL Server Management Studio
It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts.
DBeaver
It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.
