Amazon RDS for PostgreSQL vs PgHero

Overview

Amazon RDS for PostgreSQL

Stacks814

Followers607

Votes40

PgHero

Stacks22

Followers38

Votes0

GitHub Stars8.7K

Forks468

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

Introduction: Amazon RDS for PostgreSQL and PgHero are two popular tools used in managing PostgreSQL databases. Here are the key differences between them.

Managed Service vs. Dashboard Tool: Amazon RDS for PostgreSQL is a managed service provided by AWS, offering automated management and scaling of PostgreSQL databases, while PgHero is a dashboard tool that allows users to monitor, analyze, and optimize their PostgreSQL database performance.
Cost Structure: Amazon RDS for PostgreSQL follows a pay-as-you-go pricing model where users are charged based on the resource usage, storage, and additional features they utilize, while PgHero is an open-source tool that is free to use, with no subscription or licensing fees.
Features and Functionality: Amazon RDS for PostgreSQL offers a wide range of features including automated backups, security settings, and scaling capabilities, while PgHero focuses specifically on performance monitoring, query optimization, and database health checks.
Scalability: Amazon RDS for PostgreSQL provides automated scaling options to adjust resources based on workload demands, whereas PgHero does not offer built-in scalability features and relies on manual adjustments by the users.
Integration with Other AWS Services: Amazon RDS for PostgreSQL seamlessly integrates with other AWS services such as Amazon CloudWatch for monitoring and Amazon S3 for backups, while PgHero is a standalone tool with limited integration options.
Level of Control: With Amazon RDS for PostgreSQL, users have limited control over the underlying infrastructure and server configurations as it is managed by AWS, while using PgHero gives users greater control and flexibility in managing their PostgreSQL databases.

In Summary, the key differences between Amazon RDS for PostgreSQL and PgHero lie in their service model, cost structure, features, scalability options, integration capabilities, and level of control over the database environment.

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Advice on Amazon RDS for PostgreSQL, PgHero

Lonnie

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

May 9, 2019

Reviewon

Amazon DynamoDB

Amazon 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

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	PgHero
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.	Postgres performance insights made easy.
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	Live query stats;Available as a ruby gems;System stats for Amazon RDS;
Statistics
GitHub Stars -	GitHub Stars 8.7K
GitHub Forks -	GitHub Forks 468
Stacks 814	Stacks 22
Followers 607	Followers 38
Votes 40	Votes 0
Pros & Cons
Pros 25 Easy setup, backup, monitoring 13 Geospatial support 2 Master-master replication using Multi-AZ instance	No community feedback yet
Integrations
No integrations available	PostgreSQL Ruby Rails

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

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

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

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

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

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

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 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 provides a SQL database-as-a-service that lets you focus on building your application instead of messing around with database management.

Related Comparisons

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

Introduction: Amazon RDS for PostgreSQL and PgHero are two popular tools used in managing PostgreSQL databases. Here are the key differences between them.

Managed Service vs. Dashboard Tool: Amazon RDS for PostgreSQL is a managed service provided by AWS, offering automated management and scaling of PostgreSQL databases, while PgHero is a dashboard tool that allows users to monitor, analyze, and optimize their PostgreSQL database performance.
Cost Structure: Amazon RDS for PostgreSQL follows a pay-as-you-go pricing model where users are charged based on the resource usage, storage, and additional features they utilize, while PgHero is an open-source tool that is free to use, with no subscription or licensing fees.
Features and Functionality: Amazon RDS for PostgreSQL offers a wide range of features including automated backups, security settings, and scaling capabilities, while PgHero focuses specifically on performance monitoring, query optimization, and database health checks.
Scalability: Amazon RDS for PostgreSQL provides automated scaling options to adjust resources based on workload demands, whereas PgHero does not offer built-in scalability features and relies on manual adjustments by the users.
Integration with Other AWS Services: Amazon RDS for PostgreSQL seamlessly integrates with other AWS services such as Amazon CloudWatch for monitoring and Amazon S3 for backups, while PgHero is a standalone tool with limited integration options.
Level of Control: With Amazon RDS for PostgreSQL, users have limited control over the underlying infrastructure and server configurations as it is managed by AWS, while using PgHero gives users greater control and flexibility in managing their PostgreSQL databases.

Amazon RDS for PostgreSQL vs PgHero

Overview