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pREST

10
23
+ 1
0
Stellar

6
27
+ 1
0
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pREST vs Stellar: What are the differences?

pREST: A fully RESTful API from any existing PostgreSQL database written in Go. Serve a RESTful API from any PostgreSQL database. There is the PostgREST written in haskell, keep a haskell software in production is not easy job, with this need that was born the pREST; Stellar: Fast database snapshot and restore tool for development. Stellar allows you to quickly restore database when you are e.g. writing database migrations, switching branches or messing with SQL. PostgreSQL and MySQL are supported.

pREST and Stellar belong to "Database Tools" category of the tech stack.

pREST and Stellar are both open source tools. Stellar with 3.58K GitHub stars and 108 forks on GitHub appears to be more popular than pREST with 2.06K GitHub stars and 111 GitHub forks.

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What is pREST?

Serve a RESTful API from any PostgreSQL database. There is the PostgREST written in haskell, keep a haskell software in production is not easy job, with this need that was born the pREST.

What is Stellar?

Stellar allows you to quickly restore database when you are e.g. writing database migrations, switching branches or messing with SQL. PostgreSQL and MySQL are supported.

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Jobs that mention pREST and Stellar as a desired skillset
CBRE
Netherlands Noord-Holland Amsterdam
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United Kingdom of Great Britain and Northern Ireland England London
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Netherlands Noord-Holland Amsterdam
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CBRE
United States of America Virginia Sandston
CBRE
United States of America Virginia Sandston
CBRE
Netherlands Noord-Holland Amsterdam
CBRE
United Kingdom of Great Britain and Northern Ireland England Croydon
What companies use pREST?
What companies use Stellar?
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    What tools integrate with pREST?
    What tools integrate with Stellar?
      No integrations found
      What are some alternatives to pREST and Stellar?
      Presto
      Distributed SQL Query Engine for Big Data
      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.
      DataGrip
      A cross-platform IDE that is aimed at DBAs and developers working with SQL databases.
      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.
      See all alternatives