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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Heroku Postgres vs PgHero

Heroku Postgres vs PgHero

OverviewDecisionsComparisonAlternatives

Overview

PgHero
PgHero
Stacks22
Followers38
Votes0
GitHub Stars8.7K
Forks468
Heroku Postgres
Heroku Postgres
Stacks607
Followers314
Votes38

Heroku Postgres vs PgHero: What are the differences?

Introduction:

In this article, we will compare the key differences between Heroku Postgres and PgHero, two popular tools used for managing and analyzing PostgreSQL databases.

  1. Pricing Model: Heroku Postgres uses a scaled pricing model based on different plans and the resources allocated to the database instances, while PgHero is an open-source tool that can be freely used without any cost.

  2. Deployment: Heroku Postgres is a fully managed database service provided by Heroku, where developers can easily deploy and manage their databases within the Heroku ecosystem. On the other hand, PgHero needs to be manually installed and set up on the server where the PostgreSQL database is hosted.

  3. Performance Monitoring: Heroku Postgres provides built-in tools and features for performance monitoring, allowing developers to view and analyze various metrics like query performance, throughput, and resource utilization. PgHero, as an extension, offers detailed performance insights and recommendations to optimize database queries and identify bottlenecks.

  4. Database Maintenance: Heroku Postgres automatically handles routine database maintenance tasks like backups and updates, reducing the burden on developers. In contrast, PgHero focuses more on query performance analysis, rather than providing automated routine maintenance tasks.

  5. Ease of Use: Heroku Postgres offers a user-friendly interface with a well-designed dashboard, making it easy for developers to manage, monitor, and scale their databases. PgHero, as a command-line tool, requires some technical expertise to set up and use effectively.

  6. Advanced Features: Heroku Postgres provides advanced features like data encryption at rest, continuous protection, and seamless integration with other Heroku services. PgHero, being an open-source tool, offers customization options and allows developers to view and modify the source code to suit their specific needs.

In summary, Heroku Postgres is a fully managed database service with a scalable pricing model and a user-friendly interface, while PgHero is an open-source tool that requires manual setup but offers detailed performance insights and customization options.

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Advice on PgHero, Heroku Postgres

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

PgHero
PgHero
Heroku Postgres
Heroku Postgres

Postgres performance insights made easy.

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

Live query stats;Available as a ruby gems;System stats for Amazon RDS;
High Availability;Rollback;Dataclips;Automated Health Checks
Statistics
GitHub Stars
8.7K
GitHub Stars
-
GitHub Forks
468
GitHub Forks
-
Stacks
22
Stacks
607
Followers
38
Followers
314
Votes
0
Votes
38
Pros & Cons
No community feedback yet
Pros
  • 29
    Easy to setup
  • 3
    Extremely reliable
  • 3
    Follower databases
  • 3
    Dataclips for sharing queries
Cons
  • 2
    Super expensive
Integrations
PostgreSQL
PostgreSQL
Ruby
Ruby
Rails
Rails
PostgreSQL
PostgreSQL
Heroku
Heroku

What are some alternatives to PgHero, Heroku Postgres?

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.

Amazon RDS for PostgreSQL

Amazon RDS for PostgreSQL

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.

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