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APIs · head to head

Kong vs Skyflow

Kong logo

Kong

APIs

Cloud-native API gateway and service connectivity platform

From
Free
Rated
-
Full reviewWebsite
Skyflow logo

Skyflow

APIs

Data privacy vault that holds sensitive records outside your own systems

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Kong has a free tier, so it costs nothing to try first.
  • Each has a real cost: Kong the Plus plan includes 1M API requests a month and charges $200 a month for each additional million; Skyflow reported contracts near 195,000 US dollars a year with a platform fee before usage put this out of reach of early stage companies, which are precisely the ones whose architecture is still cheap to change.
  • They diverge on capability: Kong covers API Gateway, Skyflow covers Tokenised storage.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Kong and Skyflow actually diverge.

Attributes where Kong and Skyflow differ
AttributeKongSkyflow
Starting priceFreeOn request
Pricing modelsubscriptionquote
Free tierYesNo
PlatformsLinux, Docker, KubernetesAPI, Web, Self-hosted
Founded2010Unknown

Identical on both: user rating (Not yet rated), category (APIs).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Kong

  • API Gateway
  • Authentication & Authorization
  • Rate Limiting
  • Kubernetes
  • Consul
  • Eureka
  • PostgreSQL
  • Linux support

Only in Skyflow

  • Tokenised storage
  • Polymorphic encryption
  • Field level access policies
  • Data residency
  • Secure functions
  • PCI scope reduction
  • Detokenisation gateway
  • Audit trail

What people use each for

The jobs each tool is most often brought in to do.

Kong

  • API gateway management and routingnot Skyflow
  • API development and testingnot Skyflow
  • Enterprise API security and governancenot Skyflow

Skyflow

  • A fintech that wants card and bank account data out of its own infrastructure so its application servers leave PCI DSS assessment scopenot Kong
  • A company entering India or the EU with data localisation obligations that would otherwise require standing up regional databases and operationsnot Kong
  • A health technology business that needs protected health information isolated from the analytics stack while still supporting aggregate reportingnot Kong
  • An engineering team that wants support agents to see masked identifiers and payment services to see real ones, enforced centrally rather than in every servicenot Kong

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Kong

  • The Plus plan includes 1M API requests a month and charges $200 a month for each additional million
  • Plus is capped at 10M requests a month, so growth past that forces an Enterprise contract
  • Plus limits published APIs to 20 and includes one Developer Portal, with a second at $200 a month
  • SSO and audit logging are Enterprise only
  • Enterprise pricing is custom and billed annually

Skyflow

  • Reported contracts near 195,000 US dollars a year with a platform fee before usage put this out of reach of early stage companies, which are precisely the ones whose architecture is still cheap to change.
  • Every read of a protected field becomes a network call to a third party, so latency and an external availability dependency enter paths that were previously local database reads, and outage planning has to account for a vendor you do not control.
  • Analytics and joins on vaulted data are constrained; work that was a simple SQL join now happens through secure functions or on tokens, and data teams routinely discover this after the engineering team has committed.
  • Unwinding the vault later is a rewrite rather than a migration because tokens are threaded through every service, so the switching cost climbs steadily and the negotiating position at renewal weakens with each release.
  • Scope reduction is an architectural claim your own assessor must accept, so the audit saving is real only if the implementation genuinely keeps sensitive values off your systems, and partial implementations that leave a cache or a log line in place deliver the cost without the benefit.

Pricing, plan by plan

Kong

Free
  • Kong Konnect Free TrialFree
    • 30-day free trial
    • Full enterprise functionality
    • Unlimited gateways
  • Kong Konnect Plus$null/month
    • Per gateway pricing billed monthly
    • Up to 5 Serverless Gateways, 2 Hybrid, 2 Dedicated Cloud Gateways
    • 1M API requests included per month
  • Kong Insomnia EssentialsFree
    • Unlimited projects and CLI access
    • Up to 3 Git Sync users
    • 1,000 mock server requests per month
  • Kong Insomnia Pro$12/month
    • Unlimited users with Git Sync access
    • Unlimited organizations
    • RBAC

Skyflow

On request
  • Skyflow Data Privacy Vault$undefined/year
    • Platform fee plus usage by data subject count
    • Priced additionally per data residency region
    • PCI Level 1, SOC 2 Type 2, ISO 27001 and HIPAA coverage

Which should you pick?

Choose Kong if

  • You need api gateway.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes.
  • You also want authentication & authorization.
Kong review

Choose Skyflow if

  • You need tokenised storage.
  • You work on API, Web, Self-hosted.
  • You also want polymorphic encryption.
Skyflow review

Questions people ask

Is Kong or Skyflow better?
Neither clearly leads. Kong starts at Free and Skyflow at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Kong or Skyflow?
Kong has a free tier; the other does not. Paid plans start at Free for Kong and On request for Skyflow.
Does Kong or Skyflow run on more platforms?
Kong runs on Linux, Docker, Kubernetes. Skyflow runs on API, Web, Self-hosted.
Can I use Kong for free?
Yes. Kong has a free tier, so you can try it without paying. Skyflow starts at On request.
What is Kong best used for?
Kong is most often used for api gateway management and routing, api development and testing, enterprise api security and governance. Of those, api gateway management and routing and api development and testing are not what Skyflow is typically brought in for.
What can Kong do that Skyflow cannot?
Kong covers API Gateway, Authentication & Authorization, Rate Limiting, Kubernetes. Skyflow covers Tokenised storage, Polymorphic encryption, Field level access policies, Data residency.

Answered from the vendors’ own pages

Kong: Does Kong offer a free trial?

Yes, Kong Konnect offers a 30-day free trial with full enterprise functionality, unlimited gateways, and no credit card required.

Source
Skyflow: Does Skyflow really take my systems out of PCI scope?

It can, if card data never touches your infrastructure and the detokenisation happens at the boundary. Your QSA has to agree the design, so validate the architecture with your assessor before signing.

Kong: How much does Kong Insomnia Pro cost?

Kong Insomnia Pro is $12 per user per month with 15% savings available for annual billing.

Source
Skyflow: What does it cost?

Nothing is published. Reported annual contracts sit around 195,000 US dollars, built from a platform fee plus usage by data subject count and additional charges per data residency region.

Kong: What are Kong Konnect Plus API request limits?

Kong Konnect Plus includes 1M API requests per month; additional requests cost $200 per 1M (maximum 10M per month).

Source
Skyflow: How does it help with data localisation?

Records can be pinned to a specified region, so an Indian or EU residency requirement is met by the vault rather than by you running regional databases and operations teams.

Kong: What is included in Kong Insomnia Enterprise?

Kong Insomnia Enterprise is $45 per user per month with SSO, SCIM, vault integrations, unlimited mock server requests, and Konnect integration.

Source
Skyflow: Can I still run analytics on vaulted data?

Partly. Aggregates and comparisons are supported through polymorphic encryption and secure functions, but arbitrary joins against other datasets are harder than they were, and this is the most common late surprise.

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