dbForge Studio for PostgreSQL vs Stellar

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dbForge Studio for PostgreSQL

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Stellar

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Stellar vs dbForge Studio for PostgreSQL: What are the differences?

What is Stellar? Fast database snapshot and restore tool for development. Stellar allows you to quickly restore database when you are e.g. writing database migrations, switching branches or messing with SQL. PostgreSQL and MySQL are supported.

What is dbForge Studio for PostgreSQL? Develop and manage PostgreSQL databases in convenient GUI. 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.

Stellar and dbForge Studio for PostgreSQL can be primarily classified as "Database" tools.

Stellar is an open source tool with 3.6K GitHub stars and 107 GitHub forks. Here's a link to Stellar's open source repository on GitHub.

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Pros of dbForge Studio for PostgreSQL
Pros of Stellar
  • 61
    Data Reports and Analysis
  • 61
    Query Profiler
  • 61
    Database Explorer
  • 60
    SQL Development
  • 60
    Data Export and Data Import
  • 57
    Query execution diagram
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    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.

    What is Stellar?

    Stellar allows you to quickly restore database when you are e.g. writing database migrations, switching branches or messing with SQL. PostgreSQL and MySQL are supported.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use dbForge Studio for PostgreSQL?
    What companies use Stellar?
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      What tools integrate with dbForge Studio for PostgreSQL?
      What tools integrate with Stellar?
        No integrations found
        What are some alternatives to dbForge Studio for PostgreSQL and Stellar?
        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
        See all alternatives