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dat
dat

21
26
+ 1
0
Massive
Massive

0
3
+ 1
0
Pome
Pome

3
6
+ 1
0

What is dat?

Dat is an open source project that provides a streaming interface between every file format and data storage backend.

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 Pome?

Pome stands for Postgres Metrics. Pome is a PostgreSQL Metrics Dashboard to keep track of the health of your database. This project is at a very early stage and there are a lot of missing features, but I'm hoping to be able to make the project progress quickly.
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                    What are some alternatives to dat, Massive, and Pome?
                    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.
                    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.
                    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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