
Choose Kong if you want a cloud-agnostic gateway you can self-host and extend with plugins. Choose Apigee if you already run on Google Cloud and want a managed API management platform with a full lifecycle toolset. Both are proven options. The better pick depends on where your workloads run, how your team operates, and who has to sign off on risk.
This guide compares the two on the criteria that decide the purchase, covers the alternatives people shortlist next (Tyk, KrakenD), and then answers a question that often follows: when does an API gateway end and an RPA platform begin? That last part matters if you run a regulated services firm and your real goal is to automate delivery, not to manage traffic.
TL;DR
- Kong is an open-source, cloud-agnostic gateway built on NGINX. Apigee is Google Cloud’s proprietary managed platform.
- Apigee lists a pay-as-you-go entry price. Kong’s open-source core is free to self-host, with Konnect and Enterprise priced by plan or by quote.
- Kong’s throughput figures against Apigee come from Kong’s own benchmarks. Apigee’s license restricts publishing independent benchmarks, so treat speed claims with that in mind.
- Tyk and KrakenD are the usual alternatives. A gateway manages API traffic. RPA tools automate human-style tasks. They solve different problems.
- For regulated firms, ownership, data control and audit trails often matter more than the gateway brand.
Table of Contents
- Kong vs Apigee at a glance
- Deployment and cloud lock-in
- Pricing: what you actually pay
- Performance: read the claims carefully
- Security and compliance
- Alternatives people shortlist
- Gateway or RPA: different jobs
- If you are also weighing RPA platforms
- How to choose for a regulated firm
- Perspective
- Where we fit
- FAQ
- Sources
Kong vs Apigee at a glance
Kong Gateway is a lightweight, cloud-native gateway built on NGINX. It handles security, authentication, transformation and analytics through plugins. It comes in open source, Enterprise and Konnect editions. Apigee is Google Cloud’s API management product. It supports REST, gRPC, SOAP and GraphQL.
| Criterion | Kong | Apigee |
|---|---|---|
| Model | Apache 2.0 open-source core, plus Konnect and Enterprise | Proprietary, managed by Google Cloud |
| Deployment | Cloud, on-premises or hybrid | Apigee X and hybrid (runtime on your Kubernetes, management plane on Google Cloud) |
| Cloud fit | Cloud-agnostic | Closely tied to Google Cloud |
| Entry cost | Free to self-host | Free 60-day evaluation, then pay-as-you-go |
| Enterprise cost | Custom quotes | Custom quotes for subscription tiers |
The deployment and licensing points above come from a 2026 side-by-side comparison, and Kong itself states that it runs on AWS, Azure, GCP, on-premises or hybrid without feature limits.
Deployment and cloud lock-in
This is usually the deciding factor. If your stack already lives on Google Cloud, Apigee fits naturally. If your teams are spread across AWS, Azure and on-premises systems, Kong’s neutrality is easier to live with. One user on a SaaS forum put the common frustration plainly: Apigee requires Google Cloud when you do not use it.
Apigee’s hybrid option softens this. The runtime sits on your own Kubernetes cluster while the management plane stays on Google Cloud. That helps with data residency, but you still depend on Google for control.
Kong’s open-source core can run entirely inside your network. For firms that must keep traffic and logs on infrastructure they control, that is a real advantage.
Pricing: what you actually pay
Apigee publishes three routes on Google Cloud’s page:
- A 60-day free evaluation.
- Pay-as-you-go from $20 per 1M API calls, plus $365 per month per region for environments.
- Subscription tiers (Standard, Enterprise, Enterprise Plus) that need a quote from Google Cloud sales.
Kong’s pricing page lists Konnect Plus from $25 per month plus usage. Dedicated Cloud Gateways are $500 per month per control plane, with $0.15 per GB of bandwidth. AI gateway volume includes 1 million requests per month, with $200 per month for each additional million.
Third-party estimates run higher for real workloads. Zuplo’s 2026 comparison puts Konnect Plus at about $105 per month per gateway service, with Enterprise contracts typically between $40,000 and $250,000 or more per year. Treat those as a vendor-blog estimate, and get a quote based on your own traffic.
Whatever you choose, model total cost, not just the entry price. Environments, regions, bandwidth and the engineers who operate the gateway all count.
Performance: read the claims carefully
Kong reports up to 31x higher throughput than Apigee (54,250 TPS against 1,750 TPS) in its own benchmarks. That is a vendor test, run on the vendor’s setup.

Independent verification is hard. Apigee’s license agreement forbids publishing benchmark results without Google’s written consent, which is why Gigaom left Apigee out of its 2020 performance report. That same report found NGINX beat Kong EE at every attack rate on a single node, with 30% lower latency at the 99.99th percentile.
The practical lesson: raw gateway speed rarely decides this. Policy depth, plugin coverage, observability and team skills matter more for most businesses. If latency is critical, run your own load test with your own policies enabled.
Security and compliance
Both platforms are used in regulated settings, but the evidence differs in detail. Kong’s own security document lists SOC 2 Type II certification for Kong Enterprise, Kong Mesh and Konnect, and CSA STAR Level 1 assessment for Konnect (document dated March 31, 2023). Check the vendor’s current trust page for the present status before you rely on it.
For your own compliance, certifications are only the starting point. Ask these questions of any gateway:
- Where do logs and request payloads live, and who can read them?
- Can the control plane run in your jurisdiction?
- Do you get audit trails you can hand to an examiner?
- How are secrets and keys managed?
Alternatives people shortlist
Tyk. The open-source gateway and Pump use MPL 2.0. Tyk’s pricing page says Core and Professional include unlimited APIs and calls. Core is priced by APIs managed, Professional by data planes, environments and control-plane deployments, and Enterprise is custom. Its cloud plans include a 48-hour trial and tiers: Starter (up to 5 APIs), Launch ($1,800 entitlement for 15M calls), Grow ($3,800 for 100M calls) and Scale ($6,800 for 1B calls), as listed in the 5.5 docs.
KrakenD. A stateless, distributed gateway with flat-rate pricing and unlimited requests in all plans. The Community Edition is free under Apache 2.0.
Hyperscaler and enterprise suites. An IJCA 2025 comparative analysis evaluated ten platforms, including Apigee X, MuleSoft, IBM API Connect, Azure API Management and Amazon API Gateway, across deployment flexibility, security, developer experience, analytics, lifecycle management and total cost of ownership. Use those same six criteria to build your own scorecard.
Kong Enterprise or open source?
Open source gives you the core gateway and plugins, and your team runs it. Enterprise and Konnect add managed control planes, a developer portal and support, per Kong’s product page. If you have strong platform engineers and need data in your network, start open source. If you need a portal, support and governance quickly, price Konnect or Enterprise.
Gateway or RPA: different jobs
An API gateway sits in front of services and governs how software talks to software: authentication, rate limits, routing, observability. RPA tools automate tasks that follow a person’s steps across screens and systems, often where no clean API exists.
Use a gateway when you own or consume APIs and need control over that traffic. Use RPA when the work is a repetitive human workflow on legacy or third-party interfaces. The two combine well: bots call APIs through a gateway so credentials, limits and logs stay centralized.
For many service firms, though, neither is the finish line. A law firm automating document review or an accounting practice automating bookkeeping wants a working system, not a toolbox.
If you are also weighing RPA platforms
Readers who compare gateways often compare RPA tools next. The figures below are list-price ranges from independent benchmarks. Actual deals vary, and one analyst summary notes list prices often run 20 to 40% above actual deal prices on three-year commitments.
| UiPath | Automation Anywhere | Blue Prism | |
|---|---|---|---|
| Deployment | Multi-tenant cloud, dedicated cloud, public sector cloud, self-hosted on Kubernetes | Pure cloud or on-premises Control Room | Centrally managed, auditable bot environment |
| Published entry price | Basic from $25 per month in the US | No website prices for enterprise plans | No standard pricing |
| Typical per-bot annual cost | $15K to $25K | $12K to $20K | $15K to $25K |
Deployment options and the $25 Basic price come from an independent comparison. Per-bot ranges are from AI Agent Square’s 2026 comparison, and that is a content site, so confirm figures with a vendor quote. Blue Prism has no standard pricing and its bill depends on users and features.
UiPath vs Automation Anywhere. Vendor Benchmark’s 2026 licensing analysis lists UiPath unattended robots at $8,000 to $15,000 per robot per year, attended at $1,500 to $3,000 per user, and a platform license of $20,000 to $60,000 annually. Automation Anywhere unattended runners are roughly $7,000 to $13,000, and attended seats $1,200 to $2,800. Add-on modules are priced separately on both.
Blue Prism vs UiPath. One 2026 analysis argues that Blue Prism was designed around control, with every bot in a managed, auditable environment, which suits organizations under SOX, HIPAA, PCI DSS or GDPR scrutiny. UiPath leans toward breadth, with a large integration library.
Best RPA for finance. Finance teams should weigh audit trails, credential vaulting and document extraction first. Automation Anywhere’s security page lists SOC 1 and SOC 2 Type 2, ISO 27001 and HITRUST, plus integrations with credential vaults such as CyberArk and HashiCorp. Its Document Automation replaced IQ Bot, which reached end of life in March 2026.

How to choose for a regulated firm
Whether the tool is a gateway or an RPA platform, run the same short process:
- Map the workflow first. Write down the steps, the systems touched and the data involved before comparing vendors.
- Decide where data may live. Self-hosted, regional or vendor cloud. This often eliminates options early.
- Price three years, not one. Include licenses, add-ons, infrastructure and the people who operate it.
- Require audit trails. Every automated action should be traceable.
- Plan ownership. Ask who owns the logic and configuration you build, and what happens if you leave the vendor.
Our own write-ups on AI security architecture and AI project costs for procurement go deeper on the last two steps.
Perspective
Most firms we meet are not short of tools. They are short of a system they own. A gateway governs traffic and an RPA bot repeats clicks, but neither turns your expertise into something that scales.
We build for owners of agencies, consultancies, and law, accounting, healthcare and finance firms. You bring the domain knowledge and the client base. We automate your delivery and co-build an AI-native product with you, with private or self-hosted LLM deployment so your data stays under your control.
Our team comes from regulated environments, including ISO 27001, pharma and finance, where a wrong answer is not an option. That is why we design for audit trails, compliance and ownership from day one, and why we think in terms of owning the whole system rather than renting one more tool.
Matevz
Where we fit
If your goal is not just to pick a gateway or bot platform but to automate how your firm delivers its work, that is what we build. Our engagements run in partnership mode or venture mode, and our platform line includes AI OS, Compliance OS, Finance OS, Knowledge OS and Operations OS. Our approach is to put roughly €50,000 of engineering into an established service business on a revenue-share or equity basis, and we are EU-based.

See how an engagement works on our AI OS page, or start from the Autonomousfirm homepage. If a private deployment is your priority, our guide to a gateway-first private GPT deployment shows how we approach it.
FAQ
Is Kong better than Apigee?
Neither wins on every count. Kong suits teams that want cloud-agnostic, self-hostable infrastructure with a free open-source core. Apigee suits Google Cloud users who want a managed platform with built-in lifecycle tooling. Match the choice to your cloud, team skills and compliance needs.
Which is cheaper, Kong or Apigee?
Kong’s open-source gateway costs nothing to license, but you pay to run it. Apigee has a free 60-day evaluation and pay-as-you-go pricing from $20 per 1M calls plus $365 per month per region. At scale both move to custom quotes, so compare quotes using your own traffic.
What are good API gateway alternatives?
Tyk and KrakenD are the most common open-source-friendly options. Azure API Management, Amazon API Gateway, MuleSoft and IBM API Connect are common enterprise suites. Score each on deployment flexibility, security, developer experience, analytics and total cost.
Can an API gateway replace RPA?
No. A gateway manages and secures API traffic. RPA automates task flows, often through user interfaces. They work together when bots call services through a gateway for central control and logging.
Sources
- Kong Gateway product page
- Kong vs Apigee comparison, Kong Inc.
- Kong pricing
- Apigee API Management, Google Cloud
- Apigee vs Kong (2026)
- Kong vs Apigee 2026, Zuplo
- Reddit r/SaaS thread on Kong alternatives
- High Performance API Management Testing, Gigaom
- Kong technical and organizational security measures
- Tyk pricing
- Tyk Cloud plans
- KrakenD
- KrakenD Community Edition on AWS Marketplace
- Comparative Analysis of Leading API Management, IJCA 2025
- Automation Anywhere vs UiPath comparison, CIO Pages
- UiPath vs Automation Anywhere Pricing Benchmark 2026
- RPA + AI Tools Comparison 2026, AI Agent Square
- Best RPA software, TechRadar
- Best AI RPA Tools in 2026, Techno-Pulse
- UiPath vs AA vs Power Automate 2026, Automation Atlas
- Automation Anywhere security
- Automation Anywhere Review 2026, Automation Atlas


