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  1. Stackups
  2. Application & Data
  3. Relational Databases
  4. Postgresql As A Service
  5. Amazon RDS for PostgreSQL vs PostgREST

Amazon RDS for PostgreSQL vs PostgREST

OverviewDecisionsComparisonAlternatives

Overview

Amazon RDS for PostgreSQL
Amazon RDS for PostgreSQL
Stacks814
Followers607
Votes40
PostgREST
PostgREST
Stacks59
Followers119
Votes8

Amazon RDS for PostgreSQL vs PostgREST: What are the differences?

  1. Data Hosting: Amazon RDS for PostgreSQL provides a fully managed relational database service, offering features like backups, monitoring, and scaling, while PostgREST is a standalone tool that acts as a REST API server for any PostgreSQL database, allowing developers to directly interact with the database.
  2. Elasticity and Scalability: Amazon RDS for PostgreSQL allows for easy scaling of compute and storage resources based on the workload, while PostgREST may require additional configurations and optimizations for scalability depending on the database infrastructure.
  3. Management Complexity: Amazon RDS for PostgreSQL simplifies database management tasks like patching, backups, and high availability setup, whereas with PostgREST, developers need to handle these tasks manually or through additional automation tools.
  4. Query Optimization: Amazon RDS for PostgreSQL offers query optimization features like Performance Insights and automatic tuning, enhancing database performance, whereas PostgREST relies on the underlying PostgreSQL database performance capabilities without additional optimization tools.
  5. Security Features: Amazon RDS for PostgreSQL provides security features like encryption at rest and in transit, IAM integration, and VPC isolation for enhanced data protection, while PostgREST may require additional security configurations to ensure data privacy and integrity.
  6. Cost Structure: Amazon RDS for PostgreSQL follows a pay-as-you-go pricing model based on database instance size and allocated storage, while PostgREST is an open-source tool with no direct costs associated, but may require investments in infrastructure and maintenance.

In Summary, Amazon RDS for PostgreSQL offers a fully managed relational database service with features like scalability and security, while PostgREST serves as a standalone tool for building REST APIs directly on a PostgreSQL database, requiring manual management and optimization.

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Advice on Amazon RDS for PostgreSQL, PostgREST

Lonnie
Lonnie

CEO - Co-founder US, Mexico Binational Tech Start-up Accelerator, Incubator at Framework Science

May 9, 2019

ReviewonAmazon DynamoDBAmazon DynamoDBAmazon RDS for PostgreSQLAmazon RDS for PostgreSQL

We use Amazon RDS for PostgreSQL because RDS and Amazon DynamoDB are two distinct database systems. DynamoDB is NoSQL DB whereas RDS is a relational database on the cloud. The pricing will mainly differ in the type of application you are using and your requirements. For some applications, both DynamoDB and RDS, can serve well, for some it might not. I do not think DynamoDB is cheaper. Right now we are helping Companies in Silicon Valley and in Southern California go SERVERLESS - drastically lowering costs if you are interested in hearing how we go about it.

9.18k views9.18k
Comments
Jorge
Jorge

Jan 15, 2020

Needs advice

Considering moving part of our PostgreSQL database infrastructure to the cloud, however, not quite sure between AWS, Heroku, Azure and Google cloud. Things to consider: The main reason is for backing up and centralize all our data in the cloud. With that in mind the main elements are: -Pricing for storage. -Small team. -No need for high throughput. -Support for docker swarm and Kubernetes.

51.8k views51.8k
Comments

Detailed Comparison

Amazon RDS for PostgreSQL
Amazon RDS for PostgreSQL
PostgREST
PostgREST

Amazon RDS manages complex and time-consuming administrative tasks such as PostgreSQL software installation and upgrades, storage management, replication for high availability and back-ups for disaster recovery. With just a few clicks in the AWS Management Console, you can deploy a PostgreSQL database with automatically configured database parameters for optimal performance. Amazon RDS for PostgreSQL database instances can be provisioned with either standard storage or Provisioned IOPS storage. Once provisioned, you can scale from 10GB to 3TB of storage and from 1,000 IOPS to 30,000 IOPS.

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.

Monitoring and Metrics –Amazon RDS provides Amazon CloudWatch metrics for you DB Instance deployments at no additional charge.;DB Event Notifications –Amazon RDS provides Amazon SNS notifications via email or SMS for your DB Instance deployments.;Automatic Software Patching – Amazon RDS will make sure that the PostgreSQL software powering your deployment stays up-to-date with the latest patches.;Automated Backups – Turned on by default, the automated backup feature of Amazon RDS enables point-in-time recovery for your DB Instance.;DB Snapshots – DB Snapshots are user-initiated backups of your DB Instance.;Pre-configured Parameters – Amazon RDS for PostgreSQL deployments are pre-configured with a sensible set of parameters and settings appropriate for the DB Instance class you have selected.;PostGIS;Language Extensions :PL/Perl, PL/pgSQL, PL/Tcl;Full Text Search Dictionaries;Advanced Data Types : HStore, JSON;Core PostgreSQL engine features
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Statistics
Stacks
814
Stacks
59
Followers
607
Followers
119
Votes
40
Votes
8
Pros & Cons
Pros
  • 25
    Easy setup, backup, monitoring
  • 13
    Geospatial support
  • 2
    Master-master replication using Multi-AZ instance
Pros
  • 4
    Fast, simple, powerful REST APIs from vanilla Postgres
  • 2
    JWT authentication
  • 1
    Declarative role based security at the data layer
  • 1
    Very fast

What are some alternatives to Amazon RDS for PostgreSQL, PostgREST?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Heroku Postgres

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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