Elastic Cloud vs Heroku

Overview

Heroku

Stacks25.8K

Followers20.5K

Votes3.2K

Elastic Cloud

Stacks69

Followers73

Votes0

Elastic Cloud vs Heroku: What are the differences?

## Introduction

Elastic Cloud and Heroku are both cloud computing platforms that offer services for deploying, managing, and scaling applications. However, there are key differences between the two platforms that cater to different user needs.

1. **Deployment Flexibility**: Elastic Cloud allows for more control and flexibility in deploying applications, supporting various deployment models including on-premise, cloud-based, and hybrid setups. In contrast, Heroku simplifies deployment by providing a fully managed platform-as-a-service (PaaS) where users do not have to worry about underlying infrastructure.

2. **Scalability Options**: Elastic Cloud offers a high degree of scalability, allowing users to easily scale resources up or down based on demand through features like auto-scaling. On the other hand, Heroku also supports scalability but may have constraints on resources and scaling options compared to Elastic Cloud.

3. **Infrastructure Control**: Elastic Cloud provides users with more control over the infrastructure, enabling customization and configuration at a lower level to optimize performance and efficiency. In contrast, Heroku abstracts much of the infrastructure management, making it easier to use but limiting the level of control available to users.

4. **Cost Structure**: Elastic Cloud typically follows a pay-as-you-go pricing model, where users pay for the resources they use based on usage metrics such as CPU and storage. Heroku, on the other hand, offers a simplified pricing structure with predefined tiers that may be easier to estimate costs but could be less flexible for certain use cases.

5. **Integration Capabilities**: Elastic Cloud integrates well with other Elasticsearch tools and services, providing a seamless experience for users already using Elasticsearch in their stack. Heroku offers a wide range of integrations with popular tools and services, making it easy to extend the functionality of applications with third-party services.

6. **Support and Documentation**: Elastic Cloud provides extensive documentation, support, and training resources for users to troubleshoot issues and optimize their deployments. Heroku also offers robust support options but may have a larger community and ecosystem of resources available for users to tap into for assistance.

In Summary, Elastic Cloud and Heroku differ in deployment flexibility, scalability options, infrastructure control, cost structure, integration capabilities, and support/documentation offerings.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Detailed Comparison

Heroku	Elastic Cloud
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.	A growing family of Elastic SaaS offerings that make it easy to deploy, operate, and scale Elastic products and solutions in the cloud. From an easy-to-use hosted and managed Elasticsearch experience to powerful, out-of-the-box search solutions.
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.	-
Statistics
Stacks 25.8K	Stacks 69
Followers 20.5K	Followers 73
Votes 3.2K	Votes 0
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 No usable MySQL option 7 Storage 5 Low performance on free tier	No community feedback yet
Integrations
Mailgun Postmark Loggly Papertrail Redis Cloud Red Hat Codeready Workspaces Nitrous.IO Logentries MongoLab Gemfury	Elasticsearch

What are some alternatives to Heroku, Elastic 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 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

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

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 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

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

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 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

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

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.

Related Comparisons

Elastic Cloud vs Heroku: What are the differences?

## Introduction

Elastic Cloud and Heroku are both cloud computing platforms that offer services for deploying, managing, and scaling applications. However, there are key differences between the two platforms that cater to different user needs.

1. **Deployment Flexibility**: Elastic Cloud allows for more control and flexibility in deploying applications, supporting various deployment models including on-premise, cloud-based, and hybrid setups. In contrast, Heroku simplifies deployment by providing a fully managed platform-as-a-service (PaaS) where users do not have to worry about underlying infrastructure.

2. **Scalability Options**: Elastic Cloud offers a high degree of scalability, allowing users to easily scale resources up or down based on demand through features like auto-scaling. On the other hand, Heroku also supports scalability but may have constraints on resources and scaling options compared to Elastic Cloud.

3. **Infrastructure Control**: Elastic Cloud provides users with more control over the infrastructure, enabling customization and configuration at a lower level to optimize performance and efficiency. In contrast, Heroku abstracts much of the infrastructure management, making it easier to use but limiting the level of control available to users.

4. **Cost Structure**: Elastic Cloud typically follows a pay-as-you-go pricing model, where users pay for the resources they use based on usage metrics such as CPU and storage. Heroku, on the other hand, offers a simplified pricing structure with predefined tiers that may be easier to estimate costs but could be less flexible for certain use cases.

5. **Integration Capabilities**: Elastic Cloud integrates well with other Elasticsearch tools and services, providing a seamless experience for users already using Elasticsearch in their stack. Heroku offers a wide range of integrations with popular tools and services, making it easy to extend the functionality of applications with third-party services.

6. **Support and Documentation**: Elastic Cloud provides extensive documentation, support, and training resources for users to troubleshoot issues and optimize their deployments. Heroku also offers robust support options but may have a larger community and ecosystem of resources available for users to tap into for assistance.

In Summary, Elastic Cloud and Heroku differ in deployment flexibility, scalability options, infrastructure control, cost structure, integration capabilities, and support/documentation offerings.

Elastic Cloud vs Heroku

Overview