CoreWeave vs Heroku Comparison
Detailed comparison of features, pricing, and capabilities
Last updated May 1, 2026
Overview
Compare key metrics and features at a glance
CoreWeave
https://www.coreweave.com
CoreWeave is a specialized cloud provider focused on GPU-accelerated computing, offering large-scale infrastructure optimized for AI/ML workloads, visual effects rendering, and high-performance computing. The company operates one of the largest fleets of NVIDIA GPUs in the cloud, providing on-demand access to compute resources through Kubernetes-based orchestration. CoreWeave went public on the Nasdaq in March 2025 and serves major AI companies, enterprises, and research institutions requiring massive parallel compute capacity.
Heroku
https://www.heroku.com
Heroku is a cloud platform as a service (PaaS) that enables companies to build, deliver, monitor and scale applications. The platform supports several programming languages and allows developers to deploy, manage, and scale modern apps without having to manage the underlying infrastructure. Heroku was acquired by Salesforce in 2010 and has since become one of the most popular PaaS solutions for web application deployment.
Quick Comparison
| Detail | CoreWeave | Heroku |
|---|---|---|
| Category | AI Cloud Infrastructure | Platform as a Service (PaaS) |
| Starting Price | $4/mo | Contact Sales |
| Plans Available | 9 | 0 |
| Features Tracked | 14 | 17 |
| Founded | 2017 | 2007 |
| Headquarters | Roseland, USA | San Francisco, USA |
Features
Detailed feature-by-feature comparison
Feature Comparison
| Feature | | |
|---|---|---|
| api | ||
| CLI Access | ||
| core | ||
| AI Object Storage | ||
| Application Metrics | ||
| Autoscaling | ||
| Bare Metal Performance | ||
| Dynos | ||
| Fast Boot Times | ||
| File Storage | ||
| HPC-First Architecture | ||
| Heroku Dashboard | ||
| Heroku Key-Value Store | ||
| Heroku Pipelines | ||
| Heroku Postgres | ||
| High Durability Storage | ||
| InfiniBand Networking | ||
| Kubernetes Orchestration | ||
| Managed Inference and Agents | ||
| Mega GPU Clusters | ||
| Multi-language Support | ||
| NVIDIA GPU Access | ||
| No Egress Fees | ||
| SLURM on Kubernetes (SUNK) | ||
| custom | ||
| Buildpacks | ||
| Custom Instance Types | ||
| integration | ||
| Add-ons Marketplace | ||
| Apache Kafka on Heroku | ||
| Heroku AppLink | Add-on | |
| Model Context Protocol (MCP) | ||
| security | ||
| Enterprise Security | ||
| Security Patches | ||
| support | ||
| Team Collaboration | ||
Pricing
Compare pricing plans and value for money
CoreWeave
From $4/mo
Price Components
- On-Demand Compute: $42/hour
- On-Demand Compute: $68.8/hour
- On-Demand Compute: $49.24/hour
- On-Demand Compute: $6.42/hour
- Spot Compute: $2.99/hour
Best For
AI research labs and enterprises training large language models or running distributed inference at scale who prioritize raw compute performance and cost efficiency over geographic flexibility.
Heroku
Contact Sales
No pricing data available yet
Best For
Developers and startups needing quick Git-based deploys and managed scaling for modern web apps without infrastructure management.
Integrations
See which third-party services are supported
Supported Integrations
Coming Soon
Integration comparison data for CoreWeave, Heroku is being collected and will be available soon.
Strengths & Limitations
Key strengths and limitations of each service
CoreWeave
AI research labs and enterprises training large language models or running distributed inference at scale who prioritize raw compute performance and cost efficiency over geographic flexibility.
- Bare-metal GPU infrastructure eliminates virtualization overhead, delivering 2-3x faster training speeds than legacy cloud providers with identical hardware
- Massive scale support up to 100k+ GPU clusters with InfiniBand networking enables near-linear scaling for distributed AI training at supercomputing scale
- Transparent pricing with zero egress fees and sub-1 minute boot times reduces total cost of ownership by 30-40% versus AWS/Azure for data-intensive ML workloads
- Limited geographic footprint compared to AWS/Azure/GCP, restricting deployment options for enterprises requiring multi-region redundancy or specific data residency compliance
- Smaller ecosystem of pre-built integrations and managed services means users need deeper DevOps expertise to orchestrate complex multi-cloud architectures
Heroku
Developers and startups needing quick Git-based deploys and managed scaling for modern web apps without infrastructure management.
- Git push deployment and dyno autoscaling enable instant scaling for web apps, unlike more complex setups on AWS or Azure.
- Managed data services like Heroku Postgres and Redis handle backups and HA, freeing developers from infra tasks.
- Native buildpacks for Node.js, Python, Java, and others simplify multi-language deploys versus custom configs elsewhere.
- Doubled 1GB slug limit supports AI/ML frameworks, boosting complex app compatibility.
- Transitioning to sustaining engineering mode limits new features, lagging behind innovative PaaS like Upsun.
- Runs atop AWS EC2 with dyno-based pricing that can escalate costs for high-traffic apps versus granular cloud options.
- Enterprise feature freeze pushes users toward Salesforce alternatives like Agentforce.
Company Info
Company details and background
CoreWeave
Heroku
Comparison FAQ
Common questions about comparing CoreWeave and Heroku
No FAQs available yet