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PostgREST

50
98
+ 1
8
Spring Data

447
304
+ 1
0
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PostgREST vs Spring Data: What are the differences?

PostgREST: Automatic REST API for Any Postgres Database. PostgREST serves a fully RESTful API from any existing PostgreSQL database. It provides a cleaner, more standards-compliant, faster API than you are likely to write from scratch; Spring Data: Provides a consistent approach to data access – relational, non-relational, map-reduce, and beyond. 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.

PostgREST and Spring Data can be primarily classified as "Database" tools.

PostgREST and Spring Data are both open source tools. PostgREST with 12.5K GitHub stars and 586 forks on GitHub appears to be more popular than Spring Data with 56 GitHub stars and 62 GitHub forks.

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Pros of PostgREST
Pros of Spring Data
  • 4
    Fast, simple, powerful REST APIs from vanilla Postgres
  • 2
    JWT authentication
  • 1
    Very fast
  • 1
    Declarative role based security at the data layer
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    What is PostgREST?

    PostgREST serves a fully RESTful API from any existing PostgreSQL database. It provides a cleaner, more standards-compliant, faster API than you are likely to write from scratch.

    What is 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.

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    What companies use Spring Data?
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    What tools integrate with PostgREST?
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    What are some alternatives to PostgREST and Spring Data?
    GraphQL
    GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
    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.
    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.
    DataGrip
    A cross-platform IDE that is aimed at DBAs and developers working with SQL 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.
    See all alternatives