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Heroku Review

Heroku is a Platform as a Service (PaaS) for deploying and scaling applications, offering managed data services and integrated AI features.

shipped Jul 7, 2026aipaid
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Heroku — product screenshot

Why it matters

1Acquired by Salesforce in 2010, Heroku is built on Amazon Web Services (AWS) infrastructure.
2Supports 8 programming languages including Node.js, Ruby, Java, PHP, Python, Go, Scala, and Clojure.
3Heroku CLI v11, released March 19, 2026, features an architectural overhaul to ECMAScript Modules (ESM).
4The default maximum compressed slug size was increased from 500MB to 1GB.

Specs

GitHub

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API Available

Yes, public API

overview

What is Heroku?

Heroku is an AI Platform as a Service (AI PaaS) tool developed by Salesforce that enables developers to build, run, and scale applications with integrated AI features. It provides a fully managed cloud environment built on Amazon Web Services (AWS) infrastructure, supporting multiple programming languages. Acquired by Salesforce in 2010, Heroku offers a streamlined environment for deploying and scaling applications without direct infrastructure management. The platform operates using 'dynos,' which are managed containers for application execution, and supports languages such as Node.js, Ruby, Java, PHP, Python, Go, Scala, and Clojure.

features

Key Features of Heroku

Heroku provides a comprehensive set of features designed to simplify application development and deployment, from managed infrastructure to integrated AI capabilities. Its core offering is a fully managed Platform as a Service (PaaS) that abstracts away server management, allowing developers to concentrate on code. The platform includes robust data services and a marketplace for extending functionality.

  • Platform as a Service (PaaS) for deploying and scaling applications.
  • Managed data services, including Heroku PostgreSQL and Heroku Redis.
  • Integrated AI features such as Managed Inference and Agents for intelligent applications.
  • Managed container system utilizing 'dynos' for application runtime.
  • Heroku Elements Marketplace offering add-ons, integrations, and buildpacks.
  • Heroku CLI for command-line interface management and deployment.
  • Scalable app hosting with support for Node.js, Ruby, Java, PHP, Python, Go, Scala, and Clojure.
  • Automated Certificate Management for SSL/TLS, ensuring compliance with industry standards.
  • Increased default maximum compressed slug size to 1GB and flexible build timeout options.
  • Code Execution Sandbox for Agents, introduced around February 17, 2026.

use cases

Who Should Use Heroku?

Heroku is primarily utilized by developers and organizations seeking a managed cloud platform to accelerate application deployment and reduce operational overhead. Its polyglot support and integrated services make it suitable for a diverse range of projects, from rapid prototyping to enterprise-grade applications.

  • Developers and teams deploying and scaling web and mobile applications, including customer-facing and e-commerce solutions.
  • Organizations building intelligent applications with integrated AI features, Managed Inference, and Agents.
  • Companies requiring simplified data management through fully managed cloud databases and data services.
  • Enterprises needing a developer-friendly PaaS with robust features, support, and compliance (Heroku Enterprise).
  • Teams focused on rapid prototype development, API creation, microservices architecture, and system integration.

how to use

How to Use Heroku

Getting started with Heroku involves setting up an account, installing the command-line interface, and deploying your application code. The platform is designed for Git-based deployments, simplifying the continuous integration and delivery process.

  • 1Sign up for a Heroku account at heroku.com.
  • 2Install the Heroku CLI (Command Line Interface) on your local development machine.
  • 3Create a new Heroku application using the CLI or Heroku Dashboard.
  • 4Deploy your application code by pushing it to your Heroku Git remote.
  • 5Provision necessary add-ons for databases (e.g., Heroku PostgreSQL) or other services from the Elements Marketplace.
  • 6Scale your application by adjusting the number and type of 'dynos' to meet traffic demands.

pricing

Heroku Pricing & Plans

Heroku operates on a paid pricing model, having removed its free tier in November 2022. Pricing is structured around 'dynos' (application containers), managed data services, and various add-ons available through the Heroku Elements Marketplace. Existing credit card customers can continue using Heroku with current pricing, and existing Enterprise subscriptions will be honored and can renew. However, new Enterprise Account contracts are no longer offered as of February 2026.

  • Paid plans for various dyno types (e.g., Eco, Basic, Standard, Performance, Private) with different resource allocations.
  • Managed data services like Heroku PostgreSQL and Heroku Redis are offered with tiered pricing based on capacity and features.
  • Add-ons from the Heroku Elements Marketplace are priced individually by their respective providers.
  • Heroku Enterprise provides features for large companies, with existing contracts honored but new contracts not available post-February 2026.

Pros

  • +Streamlined developer experience and rapid deployment capabilities via Git-based workflows.
  • +Fully managed infrastructure, reducing the operational overhead of server provisioning and maintenance.
  • +Polyglot platform supporting 8 major programming languages including Node.js, Ruby, Java, and Python.
  • +Integrated AI features like Managed Inference and Agents for building intelligent applications.
  • +Scalable application hosting with 'dynos' that allow for easy resource adjustment.
  • +Comprehensive add-on ecosystem through the Heroku Elements Marketplace for extended functionality.

Cons

  • −Higher cost compared to bare virtual machines or some alternative PaaS solutions, particularly as applications scale.
  • −Removal of the free tier in November 2022, impacting hobbyists and small projects.
  • −Transition to a 'sustaining engineering model' as of February 2026, limiting the introduction of new features.
  • −Reports of billing issues and difficult account deletion/unsubscribe processes in recent user reviews.
  • −Customer service has been reported as slow by some users in recent Trustpilot reviews.
  • −New Enterprise Account contracts are no longer offered as of February 2026, though existing ones are honored.

Policies

Pricing Page

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Similar Tools

Heroku vs Competitors

Heroku positions itself as a fully managed PaaS emphasizing developer experience and rapid deployment. While it offers integrated AI features, its competitive landscape includes platforms with more specialized AI capabilities or different infrastructure models.

1
KubernsOn StorkCompare

Kuberns is an AI-managed deployment platform that automates the entire deployment process for AI-first applications, from stack detection to infrastructure provisioning on AWS.

Kuberns is more AI-native, with AI as its deployment engine, automatically handling infrastructure, whereas Heroku offers integrated AI features on a more traditional PaaS.

2
BeamOn StorkCompare

Beam is a modern PaaS specifically designed for rapid serverless deployment of high-performance Python and Node.js AI/ML applications, enabling instantaneous running and testing of code on the cloud.

Beam specializes in high-performance AI/ML application deployment with serverless capabilities and GPU support, while Heroku provides a broader PaaS with integrated AI features.

3
NorthflankOn StorkCompare

Northflank offers a full-stack PaaS with comprehensive support for AI inference, GPU/CPU workloads, databases, and CI/CD, alongside a 'Bring Your Own Cloud' (BYOC) option.

Northflank provides a more complete and flexible platform for demanding AI workloads, including BYOC and advanced CI/CD, compared to Heroku's more opinionated PaaS with integrated AI.

4
Akamai Inference Cloud↗

Akamai Inference Cloud is purpose-built for AI inference at the edge, leveraging a globally distributed network to deliver low-latency performance and enhanced security for AI applications and agents.

Akamai Inference Cloud is highly specialized in edge-based AI inference and agent deployment for global scale and low latency, whereas Heroku offers general AI integration within its broader PaaS.

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