Who should choose Heroku?

Teams that want classic paas for shipping apps

Who should choose Google Cloud?

Teams that want google's cloud infrastructure

Software comparison - Hosting Platforms

Heroku vs Google Cloud: 2026 Comparison

Heroku and Google Cloud address fundamentally different deployment philosophies. Heroku hides infrastructure complexity behind a simple git-push-to-deploy model, while Google Cloud exposes powerful, fine-grained control over compute, networking and storage. Choose Heroku for speed-to-market; pick Google Cloud for cost optimization and advanced features. [Compare](/compare) the full matrix or explore [launch guides](/resources/launch-guides) for deployment best practices.

Comparison dimensions

Dimension	Heroku	Google Cloud	Winner
DX & Deploys	8/10Heroku abstracts away buildpacks, dyno sizing and log aggregation—developers push code and Heroku handles the rest, with clear mental models.	8/10Google Cloud's App Engine offers similar abstraction, but Compute Engine and GKE give you deeper control—you choose the level of abstraction that fits your stage.	Tie
Performance	7/10Heroku's dynos are priced for simplicity, not raw compute efficiency. At scale, the per-request cost can exceed specialized infrastructure.	9/10Google Cloud's granular pricing—you pay for exact CPU cores, memory and network—often runs 40-60% cheaper at production scale, especially with sustained-use discounts.	Google Cloud
Pricing	7/10Heroku pricing is flat and predictable; budget forecasting is straightforward. Add a dyno, double your spend. No surprise charges.	9/10Google Cloud pricing requires discipline—unused resources bill silently. Committed Use Discounts help, but require locking in capacity months ahead.	Google Cloud
Scaling	8/10Heroku scaling is declarative: increase dyno count or dyno size, and you scale within minutes. No load balancer tuning or replica placement.	7/10Google Cloud Compute Engine scales with custom instance groups and load balancers, offering fine-grained control but requiring more operational knowledge.	Heroku
Integrations	9/10Heroku ships with first-party PostgreSQL, Redis and Kafka add-ons, all provisioned and monitored by the platform.	7/10Google Cloud forces you to choose: managed Cloud SQL, Firestore, BigTable or self-hosted on Compute Engine—flexibility at the cost of decision-making.	Heroku
Support	8/10Heroku support is responsive but limited—you own application debugging. Infrastructure issues are rare but leave you reliant on their status page.	7/10Google Cloud support is tiered by contract; higher tiers include architecture consulting and incident response, but base support is minimal.	Heroku

DX & Deploys

Heroku: Heroku abstracts away buildpacks, dyno sizing and log aggregation—developers push code and Heroku handles the rest, with clear mental models.

Google Cloud: Google Cloud's App Engine offers similar abstraction, but Compute Engine and GKE give you deeper control—you choose the level of abstraction that fits your stage.

Performance

Heroku: Heroku's dynos are priced for simplicity, not raw compute efficiency. At scale, the per-request cost can exceed specialized infrastructure.

Google Cloud: Google Cloud's granular pricing—you pay for exact CPU cores, memory and network—often runs 40-60% cheaper at production scale, especially with sustained-use discounts.

Pricing

Heroku: Heroku pricing is flat and predictable; budget forecasting is straightforward. Add a dyno, double your spend. No surprise charges.

Google Cloud: Google Cloud pricing requires discipline—unused resources bill silently. Committed Use Discounts help, but require locking in capacity months ahead.

Scaling

Heroku: Heroku scaling is declarative: increase dyno count or dyno size, and you scale within minutes. No load balancer tuning or replica placement.

Google Cloud: Google Cloud Compute Engine scales with custom instance groups and load balancers, offering fine-grained control but requiring more operational knowledge.

Integrations

Heroku: Heroku ships with first-party PostgreSQL, Redis and Kafka add-ons, all provisioned and monitored by the platform.

Google Cloud: Google Cloud forces you to choose: managed Cloud SQL, Firestore, BigTable or self-hosted on Compute Engine—flexibility at the cost of decision-making.

Support

Heroku: Heroku support is responsive but limited—you own application debugging. Infrastructure issues are rare but leave you reliant on their status page.

Google Cloud: Google Cloud support is tiered by contract; higher tiers include architecture consulting and incident response, but base support is minimal.

Best for Heroku

Teams that want classic paas for shipping apps
Users prioritizing scaling
Growth-stage teams

Best for Google Cloud

Teams that want google's cloud infrastructure
Users prioritizing pricing
Growth-stage teams

Decision notes

Choose Heroku if your team is small and wants to ship in days without learning Kubernetes or networking. Pick Google Cloud if you're growth-stage, need predictable per-unit costs or use AI/ML services. Most teams start on Heroku and migrate to Google Cloud as they scale.

Export/import support between Heroku and Google Cloud
Team onboarding and learning curve
Pricing at your seat count
Integration coverage for your stack

Frequently asked questions

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