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FastoNoSQL

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HeidiSQL

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FastoNoSQL vs HeidiSQL: What are the differences?

FastoNoSQL: GUI manager for NoSQL databases. It is a cross-platform GUI Manager for Redis, Memcached, SSDB, LevelDB, RocksDB, LMDB, Unqlite, ForestDB, Pika, Dynomite and KeyDB databases(i.e. Admin GUI Client). Our Desktop Client works on the most amount of Linux systems, also on Windows, Mac OS X, FreeBSD and Android platforms; HeidiSQL: GUI client for MariaDB, MySQL, Microsoft SQL Server and PostgreSQL. HeidiSQL is a useful and reliable tool designed for web developers using the popular MariaDB or MySQL server, Microsoft SQL databases or PostgreSQL. It enables you to browse and edit data, create and edit tables, views, procedures, triggers and scheduled events. Also, you can export structure and data, either to SQL file, clipboard or to other servers. Read about features or see some screenshots.

FastoNoSQL and HeidiSQL belong to "Database Tools" category of the tech stack.

HeidiSQL is an open source tool with 2.19K GitHub stars and 244 GitHub forks. Here's a link to HeidiSQL's open source repository on GitHub.

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Pros of FastoNoSQL
Pros of HeidiSQL
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    • 1
      Client application which is lightweight
    • 1
      Easy configuration
    • 1
      Keep queries after execution
    • 1
      Connect to multiple servers on same client
    • 1
      Run multiple queries simultaneously
    • 1
      Multiple query tabulations

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    Cons of FastoNoSQL
    Cons of HeidiSQL
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      • 1
        Mac OS/ Linux incompatible

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      What is FastoNoSQL?

      It is a cross-platform GUI Manager for Redis, Memcached, SSDB, LevelDB, RocksDB, LMDB, Unqlite, ForestDB, Pika, Dynomite and KeyDB databases(i.e. Admin GUI Client). Our Desktop Client works on the most amount of Linux systems, also on Windows, Mac OS X, FreeBSD and Android platforms.

      What is HeidiSQL?

      HeidiSQL is a useful and reliable tool designed for web developers using the popular MariaDB or MySQL server, Microsoft SQL databases or PostgreSQL. It enables you to browse and edit data, create and edit tables, views, procedures, triggers and scheduled events. Also, you can export structure and data, either to SQL file, clipboard or to other servers. Read about features or see some screenshots.

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

      What companies use FastoNoSQL?
      What companies use HeidiSQL?
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      What tools integrate with FastoNoSQL?
      What tools integrate with HeidiSQL?

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      What are some alternatives to FastoNoSQL and HeidiSQL?
      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