Octopus vs Apigee - choosing an API gateway
Apigee is Google Cloud's API management product, run for you as a Google-managed service. Octopus is FutureIM's API gateway that runs in your own GKE cluster and is billed by the compute it uses. This page sets out the differences that matter, including when Apigee is the better choice.
View in MarketplaceRequest a demoThe short version
- Choose Apigee when you want a fully Google-managed API management service, already have Apigee proxies and tooling you rely on, or need Apigee-specific capabilities - and its edition and call-volume based pricing fits your budget.
- Choose Octopus when you want a gateway you run in your own GKE cluster, with a security pipeline (OIDC, RBAC, WAF, mTLS, HMAC), multi-tenant projects, OpenAPI and MuleSoft RAML import and AI-assisted governance - and you want to pay for the compute it uses instead of per API call.
What Octopus includes
- An 8-layer request pipeline: observe, network limits, throttling, authentication, authorisation, security, transformation, routing.
- Authentication with OIDC (Okta, Azure AD / Entra ID, Auth0), signed API keys or LDAP; RBAC, OAuth scopes and Open Policy Agent.
- Rate limiting, a leaky-bucket throttle queue and per-plan quotas; weighted load balancing and circuit breakers per upstream.
- Multi-tenant organisations and projects, each with its own root path, upstreams and security policy.
- OpenAPI import, MuleSoft RAML import, API versioning with compatibility checks and promotion.
- AI-assisted governance: OpenAPI drafting from plain English, dependency-request review and audit anomaly detection.
- Google Cloud Armor OWASP rules on by default, audit trail, optional CMEK; Prometheus metrics and an operations dashboard.
If you keep OpenAPI definitions for your APIs, you can import them into Octopus projects.
Operating model
Apigee is delivered as a Google-managed service. Octopus runs as pods in your GKE cluster (with Istio, Firestore and Memorystore on Google Cloud), so you operate the cluster and size the pods. That gives you control and predictable cost, and it is a trade-off to weigh against a fully managed service.
Pricing model
Apigee's cost depends on the edition, your API call volume and the environments you run; Google publishes current figures on its Apigee pricing page, and the best comparison is a quote for your own traffic.
Octopus has no per-request fee. It is billed monthly on the vCPU and memory of the running Octopus pod(s): <b>USD 0.30 per vCPU-hour</b> and <b>USD 0.06 per GiB-hour</b>. Cost therefore follows the capacity you run rather than the number of calls.
| Example pod | CPU | Memory | Per hour | Per month (730 h, 1 pod) |
|---|---|---|---|---|
| Small | 0.5 vCPU | 1 GiB | USD 0.21 | USD 153.30 |
| Medium | 1 vCPU | 2 GiB | USD 0.42 | USD 306.60 |
| Large | 2 vCPU | 4 GiB | USD 0.84 | USD 613.20 |
Examples are arithmetic on the published rates for one pod running all month. Multiply by the number of pods you run. The Octopus usage fee is separate from the Google Cloud services Octopus uses (for example GKE, load balancing, Firestore, Memorystore and Cloud Armor); Google bills those to your account at its own rates.
How to compare for your workload
- Estimate monthly API calls and peak requests per second.
- Get an Apigee quote for that volume and the environments you need.
- Size the Octopus pod(s) for your peak load and compute the monthly usage fee with the rates above, then add the Google Cloud services it uses (GKE, load balancing, Firestore and so on), which Google bills separately.
- List the capabilities you cannot do without and check each product against them.
Try Octopus
Octopus is available on Google Cloud Marketplace. For a demo, email sales@futureim.in or use WhatsApp from the Contact section of futureim.com.
Frequently asked questions
What is a good Apigee alternative?
It depends on what you use Apigee for. If you want an API gateway you run in your own GKE cluster, with OIDC, RBAC, WAF, OpenAPI and MuleSoft RAML import and usage-based pricing, Octopus is an alternative. If you rely on a fully Google-managed service, compare the features you need before switching.
Is Octopus cheaper than Apigee?
It depends on your traffic and needs. Octopus bills for the vCPU and memory it uses (USD 0.30 per vCPU-hour, USD 0.06 per GiB-hour) with no per-request fee, so cost scales with the capacity you run, not with the number of API calls. Apigee's cost depends on edition, call volume and environments - compare using your own numbers.
How is Octopus priced?
Monthly, by usage: USD 0.30 per vCPU-hour and USD 0.06 per GiB-hour of the running Octopus pod(s). One pod with 1 vCPU and 2 GiB running all month is about USD 306.60.
Does Octopus charge per API call?
No. The usage fee is metered on pod vCPU and memory, not on the number of requests.
Are Google Cloud costs included in the Octopus fee?
No. The Octopus usage fee covers the software. The Google Cloud services it uses (for example GKE, load balancing, Firestore, Memorystore and Cloud Armor) are billed separately by Google to your account. Include them when you compare total cost.
Where does Octopus run, and how do I buy it?
Octopus runs on Google Kubernetes Engine and is purchased on Google Cloud Marketplace.
Can I get a demo?
Yes. Email sales@futureim.in or use the WhatsApp option in the Contact section of futureim.com.