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Google Apigee vs Kong
Both bundle analytics into their own gateway rather than selling it standalone; Kong's Konnect adds metered LLM-cost analytics that Apigee's does not.
Side by side
| Google Apigee | Kong | |||||||
|---|---|---|---|---|---|---|---|---|
| Vendor | Kong Inc. | |||||||
| Pricing model | Quote only | Usage-based | ||||||
| Free tier | No | No | ||||||
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted | ||||||
| Open source | No | No | ||||||
| Best for | Teams already running Apigee as their API gateway who want usage and performance analytics without a separate tool. | Platform teams running Kong Gateway who want usage, cost, and performance analytics natively in the same control plane. | ||||||
| Pricing | Quote-based subscription tiers (Standard/Enterprise) plus a pay-as-you-go option; Google does not publish list prices, and a time-limited sandbox evaluation is available before purchase. Pricing has not been verified yet — see the vendor's site. | Konnect's Plus plan meters advanced analytics by request volume with published add-on rates; Enterprise analytics is unlimited under a custom quote, and a 30-day full-platform trial is available.
Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget. | ||||||
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Verdict
Google Apigee and Kong share the same basic model: analytics is built into the gateway's control plane, generated automatically from every request that passes through the proxy, and not available as a standalone purchase separate from adopting the gateway itself. Apigee is Google Cloud's API management platform — proxy, developer portal, monetization and security policy in one — with its Analytics module producing pre-built dashboards for traffic, errors, latency and geographic or device breakdowns, plus custom reports segmented by API product, developer app or individual key.
Kong's Konnect cloud control plane bundles Advanced Analytics on top of the open-source Kong Gateway data plane, covering the same traffic and error metrics but across a wider protocol surface — REST, gRPC, GraphQL, WebSocket, Kafka and LLM endpoints. Its AI Gateway component is the clearer differentiator: token-based cost analytics and semantic-cache hit rates specifically for LLM traffic, a use case Apigee's analytics doesn't address directly.
Choose Apigee if
- You're already standardized on Google Cloud and want API management and analytics from the same vendor.
- You need analytics tied tightly to API monetization and rate-plan packages sold through the developer portal.
- Anomaly detection on traffic patterns matters more to you than multi-protocol breadth.
Choose Kong if
- You're running or considering multiple protocols beyond REST — gRPC, GraphQL, WebSocket or Kafka — and want unified analytics across all of them.
- You route LLM traffic through your gateway and want token-cost and cache-hit analytics as part of the same platform.
- You want the underlying gateway (Kong Gateway) to remain open source and self-hostable even though the analytics layer requires Konnect.
What they share
Neither ships analytics as a product you can buy without the gateway — this is a genuine constraint for both, not a marketing choice, since the data originates from proxying the traffic itself. Both are quote-based or usage-metered rather than flatly priced (Kong publishes some Konnect add-on rates; Apigee does not), and both list Moesif and Treblle as standalone alternatives for teams that don't want to adopt a new gateway just for analytics.
The honest caveat
Kong offers a genuinely useful 30-day full-platform free trial with no credit card required, which Apigee's page does not clearly match — worth using to see Konnect's analytics on real traffic before committing. Apigee's pricing is entirely unpublished even in tier form, so get a specific quote against your expected request volume before comparing total cost against Kong's published Plus-tier rate of $20 per additional million requests.
Last reviewed September 22, 2026