Question 1

Is Zuplo cheaper than Apigee?

Accepted Answer

Yes, significantly. Apigee's pay-as-you-go model charges $20 per million standard API calls plus hourly environment fees, analytics add-ons, and security add-ons that add up quickly. A modest production setup can easily cost $1,000–$3,000/month before you hit enterprise tiers. Zuplo starts free with 100K requests/month and offers transparent pricing that includes the developer portal, API key management, and edge deployment in every plan. For a detailed breakdown, see our Apigee TCO analysis.

Question 2

Can I migrate from Apigee to Zuplo?

Accepted Answer

Yes. Zuplo is OpenAPI-native, so you can import existing OpenAPI specs directly. Every common Apigee policy has a Zuplo equivalent — SpikeArrest maps to rate-limit-inbound, VerifyAPIKey maps to api-key-inbound, OAuthV2 maps to open-id-jwt-auth-inbound, and custom Java callouts are replaced by TypeScript custom code policies. You can migrate API keys programmatically using the Zuplo Developer API and run both gateways in parallel during the transition. See our complete migration guide for step-by-step instructions.

Question 3

Does Zuplo work outside of Google Cloud?

Accepted Answer

Absolutely. Zuplo deploys to 300+ edge locations worldwide and can proxy backends hosted on AWS, Azure, GCP, or on-premises infrastructure. Unlike Apigee, which is tightly coupled to GCP, Zuplo also offers managed dedicated deployments on your choice of cloud provider — including AWS, Azure, Akamai, and others — as well as full self-hosted deployments on Kubernetes.

Question 4

How does Zuplo's AI Gateway compare to Apigee's AI features?

Accepted Answer

Both platforms now support AI workloads, but they take different approaches. Zuplo offers a purpose-built AI Gateway with model routing, semantic caching, prompt injection protection, budget and token controls, auto-failover, and a dedicated MCP Gateway product. Apigee provides LLMTokenQuota and PromptTokenLimit policies, SemanticCacheLookup/Populate policies via Vertex AI, Model Armor integration, and MCP support via API Hub. The key difference is that Zuplo bundles AI features into a unified gateway product, while Apigee distributes them across separate policies and GCP services.

Question 5

How does Zuplo's developer portal compare to Apigee's?

Accepted Answer

Zuplo auto-generates a developer portal from your OpenAPI spec with interactive documentation, self-serve API key management, and custom branding. It deploys alongside your gateway and stays in sync automatically. Apigee offers a Drupal-based portal that requires separate hosting and maintenance, or a lightweight integrated portal with limited customization. New Marketplace-based Drupal portal deployments no longer function as of April 2026 due to Google Cloud Deployment Manager deprecation.

Question 6

What about Apigee Edge reaching end of life?

Accepted Answer

Apigee Edge for Private Cloud v4.53 reaches end of life on April 11, 2026, and the final version (v4.53.01) follows in February 2027. Google is directing customers to Apigee X on Google Cloud, which deepens GCP lock-in. If you are evaluating your migration options, Zuplo offers a cloud-agnostic alternative with a significantly simpler migration path and faster time to value.

Question 7

Is Zuplo easier for developers to use than Apigee?

Accepted Answer

Yes. Apigee relies on XML-based policy configurations with Java callouts for custom logic — a steep learning curve for most modern development teams. Zuplo uses TypeScript for all custom policies and handlers, which means if you know JavaScript or TypeScript, you already know how to program Zuplo. Configuration is stored as code, works with your existing IDE, and integrates with GitHub (automatic deployments) and GitLab (via CLI).

Question 8

How fast are deployments on Zuplo compared to Apigee?

Accepted Answer

Apigee deployments can take several minutes to propagate across environments, and environment provisioning is a multi-step process. Zuplo deploys globally to 300+ edge locations in under 20 seconds, and every pull request automatically gets a preview environment for testing before merging to production.

Question 9

Can I deploy to multiple clouds with Apigee like I can with Zuplo?

Accepted Answer

Apigee is tightly coupled to Google Cloud. Apigee Hybrid allows running the runtime on GKE, EKS (AWS), AKS (Azure), or OpenShift, but the management plane remains on GCP, adding operational complexity. Zuplo is multi-cloud by default — deploy to the global edge network, run on managed dedicated infrastructure on AWS, Azure, Akamai, or GCP, or self-host on any Kubernetes cluster.

Question 10

Does Apigee offer built-in GitOps support?

Accepted Answer

Apigee does not have native GitOps support. Managing proxy revisions, environment deployments, and shared flows through version control requires custom CI/CD scripting and external tooling. Zuplo is GitOps-native — all configuration is stored as code. Connecting to GitHub sets up automated deployments with preview environments per branch, and GitLab is supported via CLI in CI/CD pipelines.

Question 11

Which platform offers better performance for global audiences?

Accepted Answer

Apigee instances are region-bound within GCP, which means users far from the deployed region experience higher latency. Zuplo runs on a global edge network, automatically routing requests to the nearest of 300+ points of presence worldwide. This means lower latency for global audiences without configuring additional regions or paying for extra environments.

Question 12

Does Zuplo support API monetization?

Accepted Answer

Yes. Zuplo includes native API monetization with metering, usage-based billing, plan management, and Stripe integration built directly into the gateway and developer portal. You can set up free tiers, quotas with overages, and pay-as-you-go billing in minutes. Apigee offers monetization as an add-on in higher-tier subscriptions, which requires additional configuration and cost.

Feature	Zuplo	Apigee API Management
Transparent Pricing	Free tier with 100K requests/month. Paid plans start at $25/month with clear per-request pricing and no hidden fees for environments, analytics, or developer portals.	Pay-as-you-go charges $20 per million standard API calls plus hourly environment fees ($0.50–$4.70/hr per region), separate analytics ($20/M calls), and security add-ons ($350/M calls). Subscriptions start around $1,500/month.
Multi-Cloud Edge Deployment	Deploy to 300+ edge locations globally on any cloud. Supports managed edge, managed dedicated (AWS, Azure, GCP, Akamai), and self-hosted options on Kubernetes.	Runs on Google Cloud Platform. Apigee Hybrid allows deployment on GKE, EKS (AWS), AKS (Azure), and OpenShift, but the management plane remains on GCP, adding operational complexity.
Developer Experience	TypeScript-based programmable policies with access to the full npm ecosystem. Configuration stored as code with native GitHub integration and GitLab support via CLI.	XML-based policy configuration with Java callouts for custom logic. JavaScript policy support available but sandboxed. Version control requires custom CI/CD tooling.
AI Gateway and MCP Support	Purpose-built AI Gateway with model routing, semantic caching, prompt injection protection, budget and token controls, and auto-failover. Turn any API into a remote MCP server or manage third-party MCP servers with a dedicated MCP Gateway product.	LLMTokenQuota and PromptTokenLimit policies for token management, SemanticCacheLookup/Populate policies using Vertex AI, Model Armor integration for prompt injection detection, and MCP support via API Hub. AI features are distributed across separate policies rather than bundled into a unified AI gateway product.
Developer Portal	Built-in developer portal auto-generated from your OpenAPI spec with interactive API explorer, self-serve API key management, and custom branding. Included in every plan.	Drupal-based portal requiring separate hosting and maintenance, or a lightweight integrated portal with limited customization. New Marketplace-based Drupal deployments no longer function as of April 2026 due to Google Cloud Deployment Manager deprecation.
API Monetization	Native API monetization with metering, usage-based billing, plan management, and Stripe integration built into the gateway. Supports free tiers, quotas with overages, and pay-as-you-go billing models.	Monetization available as an add-on in higher-tier subscriptions. Requires Apigee Edge or complex configuration to implement usage-based billing.
Deployment Speed	Deploy globally to 300+ locations in under 20 seconds. Every pull request gets an instant preview environment for testing.	Deployments can take several minutes to propagate. Environment provisioning and proxy revision deployment involve multiple steps.
Rate Limiting	Globally distributed rate limiting enforced as a single zone across 300+ locations. Per-user, per-key, or per-IP limits with TypeScript-based dynamic policies and API key metadata.	SpikeArrest and Quota policies with XML configuration. Effective but requires manual setup across environments and proxies.
GitOps and CI/CD	GitOps-native with all configuration stored as code. Native GitHub integration creates preview environments per branch and deploys on merge. GitLab supported via CLI in CI/CD pipelines.	Supports integration with CI/CD tools, but requires custom scripting to manage proxy revisions, environment deployments, and shared flows through version control.
High Availability	Built-in across all tiers with automatic failover across 300+ edge locations at no extra cost.	Available within GCP regions with SLA guarantees for paid tiers. Multi- region requires additional environment provisioning and cost.
Security	Built-in API key authentication, JWT validation, OpenID Connect, and request validation. AI-specific security includes prompt injection protection for LLM endpoints.	Comprehensive security with OAuth 2.0, API keys, JWT, mTLS, and Advanced API Security add-on ($350/M calls) for bot detection and abuse prevention. Model Armor integration for AI-specific threat detection.
GCP-Native Integration	Cloud-agnostic gateway that proxies any backend including GCP services. GCP-specific integrations use standard HTTP configuration.	Deep native integration with Google Cloud services including Cloud Run, GKE, Cloud Functions, BigQuery for analytics, Vertex AI for AI features, and IAM for access control. Purpose-built for GCP-centric architectures.

Zuplo vs Apigee API Management

Expensive and Opaque Pricing

Google Cloud Lock-In

Complex Developer Experience

Transparent Pricing

Multi-Cloud Edge Deployment

Developer Experience

AI Gateway and MCP Support

Developer Portal

Feature-by-feature comparison

Frequently Asked Questions

Ready to make the switch?