How do I choose between different API gateway products for a SaaS product team?

Choosing an API gateway for a SaaS product team requires matching the gateway to your architecture, multi-tenancy needs, operational capacity, cloud strategy, and growth plans rather than chasing feature lists. There is no universal “best” product—Kong, AWS API Gateway, Apigee, Apache APISIX, Tyk, Azure API Management, and others each fit different situations.

Start with these core questions

Are your APIs primarily internal, partner-facing, or public/customer-facing?

How important is multi-tenancy isolation (per-tenant rate limits, quotas, auth, and data separation)?

Do you prefer zero-ops managed services or are you willing to run infrastructure for more control and lower long-term cost?

Is your stack locked into one cloud (AWS, Azure, GCP) or do you need multi-cloud/hybrid portability?

What is your team’s size and platform-engineering maturity?

Do you need advanced features such as monetization, deep analytics, AI/LLM routing, or heavy customization via plugins?

What are your performance, latency, and compliance requirements?

Key evaluation criteria

• Deployment model and operations — Fully managed cloud gateways (AWS API Gateway, Azure API Management, Apigee) minimize ops overhead and integrate tightly with their ecosystems. Self-hosted or hybrid options (Kong, APISIX, Tyk) give maximum flexibility and avoid lock-in but require infrastructure management, monitoring, and upgrades. Hybrid models (e.g., Kong Konnect) offer a middle ground.
• Multi-tenancy support — Critical for SaaS. Look for strong per-tenant rate limiting, quotas, usage plans, tenant-aware authentication (JWT claims, API keys), and isolation mechanisms so one tenant cannot impact others. Cloud-native gateways often pair well with services like Cognito or IAM for tenant context; open-source gateways rely on plugins or custom logic.
• Security and policy enforcement — Authentication (OAuth 2.0, JWT, mTLS, API keys), authorization, rate limiting, throttling, WAF integration, and audit logging. Prefer gateways that let you enforce these consistently at the edge.
• Performance and scalability — Low added latency, high throughput, and ability to scale with your traffic. Benchmarks often favor APISIX or Kong for high QPS; managed services handle scaling automatically.
• Extensibility and programmability — Plugin ecosystems (Kong is especially strong), custom logic (Lua, Go, Wasm, or TypeScript in some products), or programmable handlers. Important if you need custom transformations, AI routing, or business logic at the gateway.
• Observability and analytics — Logging, metrics, tracing, and usage analytics. Essential for debugging, cost attribution, and understanding tenant behavior.
• Developer experience and portal integration — Ability to pair with a developer portal for self-serve keys, docs, and onboarding. Some platforms include or integrate tightly with portals.
• Cost model and total cost of ownership — Pay-per-request (common in AWS API Gateway), subscription, or infrastructure + ops cost. Factor in data transfer, caching, WAF, and staffing for self-hosted options. Early-stage SaaS often favors predictable or low-ops pricing; high-volume products may prefer self-hosted for cost control.
• Ecosystem fit and future needs — Native integration with your cloud, Kubernetes, CI/CD, identity providers, and any AI/LLM workloads. Consider whether you will later need monetization, multi-region, or advanced governance.

Practical recommendations by common SaaS scenarios

• AWS-centric or serverless SaaS — Start with AWS API Gateway (especially HTTP APIs for lower cost). It integrates cleanly with Lambda, Cognito, IAM, and usage plans for multi-tenant throttling.
• Need flexibility, plugins, and scale without full lock-in — Kong (open-source or Konnect managed) is a frequent default. Strong plugin ecosystem, solid performance, and hybrid options suit growing SaaS platforms.
• High performance and cloud-native/Kubernetes focus — Apache APISIX often ranks highly for throughput and dynamic configuration.
• Enterprise governance, analytics, or API monetization — Apigee (or Azure API Management in Microsoft environments) provides deeper lifecycle management and policy controls.
• Lightweight or highly programmable needs with minimal ops — Consider Tyk or Zuplo for simpler management or code-level control without heavy infrastructure.
• Early-stage or small team — Prefer managed options (cloud-native gateways or Kong Konnect) to avoid operational burden. Move to self-hosted only when traffic volume or customization justifies the cost.

Decision process

Map your current architecture, traffic patterns, and multi-tenant requirements.

Shortlist 2–3 candidates that match your deployment preference and cloud strategy.

• Prototype key flows: authentication, per-tenant rate limiting, routing, and observability. Evaluate total cost (including ops time), latency under load, and ease of policy changes.

Confirm integration with your identity provider, developer portal, monitoring stack, and CI/CD.

Plan for growth—ensure the gateway supports versioning, canary releases, and future features such as AI traffic or multi-region without major rework.

Avoid over-engineering early. Many SaaS teams begin with a cloud-native or managed gateway for speed and later migrate or hybridize as requirements grow. Pair the gateway with strong multi-tenant authorization (for example, using policy engines) and a developer portal when external or partner APIs are involved.