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pgDash

3
10
+ 1
0
TablePlus

173
277
+ 1
11
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TablePlus vs pgDash: What are the differences?

TablePlus: Easily edit database data and structure. TablePlus is a native app which helps you easily edit database data and structure. TablePlus includes many security features to protect your database, including native libssh and TLS to encrypt your connection; pgDash: In-Depth PostgreSQL Monitoring. It is a modern, comprehensive monitoring solution designed specifically for PostgreSQL deployments. It shows you information and metrics about every aspect of your PostgreSQL database server, collected using the open-source tool pgmetrics.

TablePlus and pgDash can be categorized as "Database" tools.

Some of the features offered by TablePlus are:

  • Native, Fast & Secured
  • Multi Tabs & Code Review
  • Powerful SQL Editor

On the other hand, pgDash provides the following key features:

  • In-depth metrics and dashboards
  • Table and index bloat
  • Inactive replication slots
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Pros of pgDash
Pros of TablePlus
    Be the first to leave a pro
    • 5
      Great tool, sleek UI, run fast and secure connections
    • 3
      Free
    • 2
      Perfect for develop use
    • 1
      Security

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    What is pgDash?

    It is a modern, comprehensive monitoring solution designed specifically for PostgreSQL deployments. It shows you information and metrics about every aspect of your PostgreSQL database server, collected using the open-source tool pgmetrics.

    What is TablePlus?

    TablePlus is a native app which helps you easily edit database data and structure. TablePlus includes many security features to protect your database, including native libssh and TLS to encrypt your connection.

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

    What companies use pgDash?
    What companies use TablePlus?
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    What tools integrate with pgDash?
    What tools integrate with TablePlus?

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    What are some alternatives to pgDash and TablePlus?
    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