Amazon RDS
Amazon RDS

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Amazon RDS vs PostgREST: What are the differences?

Amazon RDS: Set up, operate, and scale a relational database in the cloud. Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call; 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.

Amazon RDS and PostgREST are primarily classified as "SQL Database as a Service" and "Database" tools respectively.

PostgREST is an open source tool with 12.5K GitHub stars and 585 GitHub forks. Here's a link to PostgREST's open source repository on GitHub.

- No public GitHub repository available -

What is Amazon RDS?

Amazon RDS gives you access to the capabilities of a familiar MySQL, Oracle or Microsoft SQL Server database engine. This means that the code, applications, and tools you already use today with your existing databases can be used with Amazon RDS. Amazon RDS automatically patches the database software and backs up your database, storing the backups for a user-defined retention period and enabling point-in-time recovery. You benefit from the flexibility of being able to scale the compute resources or storage capacity associated with your Database Instance (DB Instance) via a single API call.

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.

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        What are some alternatives to Amazon RDS and PostgREST?
        Amazon Redshift
        Redshift makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
        Apache Aurora
        Apache Aurora is a service scheduler that runs on top of Mesos, enabling you to run long-running services that take advantage of Mesos' scalability, fault-tolerance, and resource isolation.
        MySQL
        The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
        Oracle
        Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
        Heroku Postgres
        Heroku Postgres provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.
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        Decisions about Amazon RDS and PostgREST
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        How developers use Amazon RDS and PostgREST
        Avatar of Pathwright
        Pathwright uses Amazon RDSAmazon RDS

        While we initially started off running our own Postgres cluster, we evaluated RDS and found it to be an excellent fit for us.

        The failovers, manual scaling, replication, Postgres upgrades, and pretty much everything else has been super smooth and reliable.

        We'll probably need something a little more complex in the future, but RDS performs admirably for now.

        Avatar of AngeloR
        AngeloR uses Amazon RDSAmazon RDS

        We are using RDS for managing PostgreSQL and legacy MSSQL databases.

        Unfortunately while RDS works great for managing the PostgreSQL systems, MSSQL is very much a second class citizen and they don't offer very much capability. Infact, in order to upgrade instance storage for MSSQL we actually have to spin up a new cluster and migrate the data over.

        Avatar of Wirkn Inc.
        Wirkn Inc. uses Amazon RDSAmazon RDS

        Our PostgreSQL servers, where we keep the bulk of Wirkn data, are hosted on the fantastically easy and reliable AWS RDS platform.

        Avatar of Digital2Go
        Digital2Go uses Amazon RDSAmazon RDS

        We use Aurora for our OLTP database, it provides significant speed increases on top of MySQL without the need to manage it

        Avatar of fadingdust
        fadingdust uses Amazon RDSAmazon RDS

        RDS allows us to replicate the development databases locally as well as making it available to CircleCI.

        Avatar of AmperVue
        AmperVue uses PostgRESTPostgREST

        Production Database

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