Heroku Pricing: Plans, Tiers, and Cost Examples (2026)

Pricing overview

Heroku's pricing model is primarily based on the consumption of "dynos," which are lightweight Linux containers that run applications. In addition to dynos, costs accrue from database services (Heroku Postgres, Heroku Redis), and a marketplace of add-ons that provide extended functionality like logging, monitoring, and caching. The platform offers a free tier for initial development and small projects, with costs increasing as applications scale in terms of required performance, reliability, and data storage. Users select dyno types and sizes based on their application's needs, contributing to a usage-based billing structure Heroku pricing details.

The core components contributing to Heroku's cost include:

• Dynos: These are the compute units that execute application code. Different dyno types (Eco, Basic, Standard, Performance) offer varying levels of resources (CPU, RAM) and features (e.g., auto-scaling, dedicated resources).
• Data Services: Managed databases like Heroku Postgres and Heroku Redis are billed separately, typically by plan tier (e.g., Mini, Basic, Standard, Premium) based on database size, connections, and features like continuous protection or high availability.
• Add-ons: Third-party services integrated into Heroku through its Elements Marketplace. These can range from logging and monitoring tools to search engines and message queues, each with its own pricing structure, often tier-based or usage-based.
• Data Transfer: While Heroku includes a certain amount of data transfer, excessive outbound data might incur additional charges, though this is less common for typical web applications.

Understanding the interplay between these components is crucial for forecasting Heroku expenses. The platform aims to simplify infrastructure management, but this abstraction means that users pay for the convenience and managed services provided.

Plans and tiers

Heroku categorizes its dynos and data services into several tiers to accommodate different application requirements, from hobby projects to enterprise-grade applications. These tiers dictate not only the raw resources available but also features like uptime guarantees, dedicated resources, and support levels.

Dyno Tiers

• Eco Dynos: Intended for hobby and personal projects, these dynos share underlying computing resources and have a monthly cap on active hours. They are suitable for non-mission-critical applications that can tolerate occasional sleep cycles Heroku Dyno types documentation.
• Basic Dynos: Offer more consistent performance than Eco dynos, with no sleep cycles. They are suitable for low-traffic, always-on applications and development environments.
• Standard Dynos: Provide dedicated resources, allowing for more predictable performance. They include features like preboot and horizontal auto-scaling, making them suitable for production web applications with moderate traffic.
• Performance Dynos: Offer the highest level of dedicated resources and performance, designed for high-traffic, mission-critical applications. These dynos provide the most compute power and memory, along with consistent I/O performance.

Data Service Tiers

Heroku Postgres and Heroku Redis offer multiple plans, scaling with storage capacity, number of connections, and advanced features:

• Heroku Postgres: Plans range from Hobby-Dev (free, limited) to various Standard, Premium, and Shield tiers, offering features like continuous data protection, high availability, and compliance certifications Heroku Postgres pricing.
• Heroku Redis: Similar tiered structure, with plans scaling by maximum memory and connections, along with premium features for production workloads Heroku Redis pricing.

Here is a general overview of key dyno and data service plans:

Free tier and limits

Heroku offers a free tier, primarily through its "Eco Dynos" and "Hobby-Dev" database plans. The free tier is designed for developers to experiment with the platform, host small personal projects, or develop applications without incurring upfront costs. However, this tier comes with specific limitations:

• Eco Dynos: Provide a combined total of 1000 dyno hours per month across all applications in an account. If an application uses only one Eco dyno, this translates to approximately 41 days of continuous operation. Eco dynos also "sleep" after 30 minutes of inactivity, meaning the application will experience a short delay upon the next request as it wakes up Heroku Eco Dyno details. This behavior makes Eco dynos unsuitable for applications requiring continuous, low-latency responsiveness.
• Heroku Postgres Hobby-Dev: The free database tier is limited to 10,000 rows of data and 10,000 read/write IOPS (input/output operations per second). It's a shared database instance, meaning performance can vary. This tier is suitable for very small datasets and development purposes but not for production applications with growing data or strict performance requirements Heroku Postgres Hobby plan.
• Heroku Redis Hobby-Dev: Similar to Postgres, the free Redis plan is suitable for development and learning, with limits on memory and connections.

While the free tier provides a valuable entry point, users should be aware of these limitations and plan to transition to paid tiers as their applications grow in usage, data, or require higher reliability and performance.

Real-world cost examples

Calculating real-world Heroku costs involves combining dyno usage, database plans, and any necessary add-ons. Here are a few illustrative examples:

Example 1: Small Blog/Portfolio Site

• Dynos: 1 x Basic Dyno ($7/month) - always-on for low traffic.
• Database: Heroku Postgres Standard-0 ($50/month) - for reliable storage and continuous protection.
• Add-ons: Basic logging add-on (e.g., LogDNA, Papertrail starts around $10-20/month depending on usage).
• Total Estimated Monthly Cost: $67 - $77+

This setup provides a reliable, responsive site suitable for a small personal or business blog with moderate content and traffic.

Example 2: Medium-Sized E-commerce Application

• Dynos: 3 x Standard-1X Dynos ($25/month each = $75/month) - for horizontal scaling and consistent performance under varying load.
• Database: Heroku Postgres Standard-4 ($200/month) - for larger data volumes, more connections, and enhanced performance.
• Redis: Heroku Redis Standard-0 ($15/month) - for caching and session management.
• Add-ons: Advanced logging, monitoring, and perhaps a search add-on (e.g., Elastic Cloud, Algolia) could range from $50-200+/month. For example, a basic Elastic Cloud plan might start at $16/month Elastic Cloud pricing.
• Total Estimated Monthly Cost: $350 - $490+

This configuration supports an e-commerce platform with moderate product listings, order processing, and user traffic, requiring robust database performance and responsive application scaling.

Example 3: High-Traffic API or SaaS Backend

• Dynos: 5 x Performance-M Dynos ($250/month each = $1250/month) - for dedicated resources and high throughput.
• Database: Heroku Postgres Premium-7 ($1500/month) - for large-scale data, high concurrency, and advanced features like read replicas.
• Redis: Heroku Redis Premium-2 ($100/month) - for highly available caching and real-time data processing.
• Add-ons: Comprehensive monitoring, APM (Application Performance Monitoring), global CDN integration (e.g., Cloudflare Enterprise Cloudflare Enterprise plans), and potentially messaging queues, costing $300 - $1000+/month.
• Total Estimated Monthly Cost: $3150 - $3850+

This example represents a complex, high-traffic backend for an API service or SaaS application that demands maximum performance, reliability, and data handling capabilities.

These examples are approximations; actual costs depend on specific add-on choices, data transfer volumes, and precise resource utilization.

How the pricing compares

Heroku's pricing model, particularly its dyno-based approach, often leads to different cost profiles compared to other cloud platforms and PaaS providers. It generally offers a higher level of abstraction and ease of use, which can translate into different cost structures:

• Compared to Infrastructure as a Service (IaaS): Platforms like AWS EC2, Google Compute Engine, or Azure Virtual Machines provide raw compute power at a lower per-resource cost. However, users are responsible for managing the operating system, patching, scaling infrastructure, and database administration. Heroku abstracts these complexities, offering a managed service that can reduce operational overhead, but potentially at a higher direct infrastructure cost for comparable raw resources. The "developer experience" of Heroku, with its Git-centric deployments, is a key value proposition that influences its pricing Heroku Git deployment guide.
• Compared to other Platform as a Service (PaaS):
• Vercel and Netlify: These platforms specialize in frontend deployment and serverless functions, often offering generous free tiers for static sites and serverless functions. Their pricing models are typically usage-based (bandwidth, function invocations). For full-stack applications requiring managed databases, Heroku's comprehensive PaaS often combines compute and data services in a way that Vercel or Netlify integrate via third-party services. Vercel's pricing, for instance, focuses on bandwidth and serverless function execution Vercel pricing plans.
• Render: Render offers a similar fully managed PaaS experience to Heroku, with services like web services, databases, and cron jobs. Its pricing is often seen as competitive, sometimes offering lower entry points for comparable resources, especially for persistent disks and some database tiers. Render's model is also resource-based, but its structure can differ in how it bundles CPU, RAM, and bandwidth.
• AWS Elastic Beanstalk, Google App Engine, Azure App Service: These are managed services from major cloud providers that offer PaaS capabilities. While they provide similar abstractions to Heroku, they are often more integrated into their respective cloud ecosystems. Pricing can be more granular and potentially complex due to the vast array of underlying services (e.g., EC2 instances, S3 storage, RDS databases), but can offer greater optimization potential for users deeply familiar with the specific cloud provider's ecosystem.

Heroku's pricing reflects its focus on developer productivity and simplified operations. While the raw cost of compute might appear higher than unmanaged IaaS, the total cost of ownership (TCO) can be competitive when factoring in reduced development time, operational expenses, and the value of managed services.