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Massive

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Upmin Admin

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Massive vs Upmin Admin: What are the differences?

Developers describe Massive as "A Postgres-Centric Data Access Tool". Massive's goal is to help you get data from your database. This is not an ORM, it's a bit more than a query tool - our goal is to do just enough, then get out of your way. Massive embraces SQL completely, and helps you out when you don't feel like writing another mundane select * from statement. On the other hand, Upmin Admin is detailed as "Framework for creating powerful admin backends with minimal effort in Ruby on Rails". Upmin Admin is a framework for creating powerful admin backends with minimal effort.

Massive and Upmin Admin can be primarily classified as "Database" tools.

Massive and Upmin Admin are both open source tools. It seems that Massive with 2.55K GitHub stars and 194 forks on GitHub has more adoption than Upmin Admin with 789 GitHub stars and 78 GitHub forks.

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What is Massive?

Massive's goal is to help you get data from your database. This is not an ORM, it's a bit more than a query tool - our goal is to do just enough, then get out of your way. Massive embraces SQL completely, and helps you out when you don't feel like writing another mundane select * from statement.

What is Upmin Admin?

Upmin Admin is a framework for creating powerful admin backends with minimal effort.

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What tools integrate with Massive?
What tools integrate with Upmin Admin?
What are some alternatives to Massive and Upmin Admin?
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.
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.
Dataform
Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.
DB
With DB you can very easily save, restore, and archive snapshots of your database from the command line. It supports connecting to different database servers (for example a local development server and a staging or production server) and allows you to load a database dump from one environment into another environment.
Liquibase
Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.
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