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Massive vs Dynobase: What are the differences?

What is Massive? 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.

What is Dynobase? Professional GUI Client for DynamoDB. Accelerate your DynamoDB workflow with faster data exploration, code generation, bookmarks, and more. It allows to export all operations into CLI and popular languages SDK formats. No more writing queries, just copy and paste straight into your favorite IDE.

Massive and Dynobase can be categorized as "Database" tools.

Massive is an open source tool with 2.55K GitHub stars and 188 GitHub forks. Here's a link to Massive's open source repository on GitHub.

- No public GitHub repository available -

What is Dynobase?

Accelerate your DynamoDB workflow with faster data exploration, code generation, bookmarks, and more. It allows to export all operations into CLI and popular languages SDK formats. No more writing queries, just copy and paste straight into your favorite IDE.

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.
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              Slick
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              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.
              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.
              Microsoft SQL Server Management Studio
              It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts.
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