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  5. Heroku vs Heroku Postgres

Heroku vs Heroku Postgres

OverviewDecisionsComparisonAlternatives

Overview

Heroku
Heroku
Stacks25.8K
Followers20.5K
Votes3.2K
Heroku Postgres
Heroku Postgres
Stacks607
Followers314
Votes38

Heroku vs Heroku Postgres: What are the differences?

Introduction

In this article, we will explore the key differences between Heroku and Heroku Postgres. Heroku is a cloud platform-as-a-service (PaaS) that allows developers to build, run, and scale applications easily, while Heroku Postgres is a relational database service provided by Heroku.

  1. Pricing: One of the main differences between Heroku and Heroku Postgres is their pricing model. Heroku charges for the resources used by the application, such as dynos (computing containers) and add-ons, while Heroku Postgres has its own pricing based on the size of the database and the required performance level. This means that you can use Heroku without necessarily using Heroku Postgres, and vice versa.

  2. Scalability: Heroku provides a wide range of scaling options for applications, allowing you to easily increase or decrease the number of dynos to handle different levels of traffic. However, Heroku Postgres offers limited scalability options and requires manual resizing of the database instance or using database forks for increased capacity.

  3. Database Management: Heroku takes care of the infrastructure and management of the application platform, including features such as deploying, monitoring, and scaling the application. On the other hand, Heroku Postgres focuses solely on database management and provides advanced features like backup, replication, and data rollback.

  4. Data Persistence: Heroku Postgres ensures data persistence by providing reliable and durable storage for your application's database. It offers features like automatic backups, replication, and failover to ensure data availability and integrity. Heroku, on the other hand, does not provide built-in data persistence as it is primarily a platform for running applications.

  5. Compatibility: Heroku supports various programming languages and frameworks, allowing developers to build applications using their preferred tools. Heroku Postgres, being a PostgreSQL-based service, is compatible with standard SQL and supports many PostgreSQL features, making it suitable for a wide range of applications.

  6. Data Isolation: Heroku Postgres provides data isolation by allowing you to create multiple database instances, each with its own database connection and access credentials. This ensures that the data for different applications or environments remains separate. Heroku, on the other hand, does not provide direct data isolation as it is primarily an application platform, but you can implement data isolation within your application code.

In summary, Heroku is a cloud platform-as-a-service that handles the infrastructure and management of applications, while Heroku Postgres is a PostgreSQL-based relational database service that focuses on database management. They differ in pricing, scalability, database management, data persistence, compatibility, and data isolation.

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Advice on Heroku, 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

Heroku
Heroku
Heroku Postgres
Heroku Postgres

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

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

Agile deployment for Ruby, Node.js, Clojure, Java, Python, Go and Scala.;Run and scale any type of app.;Total visibility across your entire app.;Erosion-resistant architecture. Rich control surfaces.
High Availability;Rollback;Dataclips;Automated Health Checks
Statistics
Stacks
25.8K
Stacks
607
Followers
20.5K
Followers
314
Votes
3.2K
Votes
38
Pros & Cons
Pros
  • 703
    Easy deployment
  • 459
    Free for side projects
  • 374
    Huge time-saver
  • 348
    Simple scaling
  • 261
    Low devops skills required
Cons
  • 27
    Super expensive
  • 9
    Not a whole lot of flexibility
  • 7
    Storage
  • 7
    No usable MySQL option
  • 5
    Low performance on free tier
Pros
  • 29
    Easy to setup
  • 3
    Extremely reliable
  • 3
    Follower databases
  • 3
    Dataclips for sharing queries
Cons
  • 2
    Super expensive
Integrations
Mailgun
Mailgun
Postmark
Postmark
Loggly
Loggly
Papertrail
Papertrail
Redis Cloud
Redis Cloud
Red Hat Codeready Workspaces
Red Hat Codeready Workspaces
Nitrous.IO
Nitrous.IO
Logentries
Logentries
MongoLab
MongoLab
Gemfury
Gemfury
PostgreSQL
PostgreSQL

What are some alternatives to Heroku, Heroku Postgres?

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

Dokku

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

PythonAnywhere

PythonAnywhere

It's somewhat unique. A small PaaS that supports web apps (Python only) as well as scheduled jobs with shell access. It is an expensive way to tinker and run several small apps.

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