Humongous.io vs Liquibase vs Open PostgreSQL Monitoring

Humongous.io
Humongous.io

4
8
2
Liquibase
Liquibase

90
83
32
Open PostgreSQL Monitoring
Open PostgreSQL Monitoring

123
99
0
- No public GitHub repository available -

What is Humongous.io?

HumongouS offers an incredible and slick out-of-the-box user experience. Just plug in your mongoDB database and you're up and running in minutes. No coding, no configuration needed.

What is Liquibase?

Developers store database changes in text-based files on their local development machines and apply them to their local databases. Changelog files can be be arbitrarily nested for better management.

What is Open PostgreSQL Monitoring?

Open PostgreSQL Monitoring is a free software designed to help you manage your PostgreSQL servers.

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          What tools integrate with Humongous.io?
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            What are some alternatives to Humongous.io, Liquibase, and Open PostgreSQL Monitoring?
            Sequel Pro
            Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.
            PostGIS
            PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.
            Flyway
            Flyway lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. Flyway migrates your database, so you don't have to worry about it anymore.
            DataGrip
            A cross-platform IDE that is aimed at DBAs and developers working with SQL databases.
            Knex.js
            Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.
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