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Automation Integration · head to head

n8n vs Valkey

n8n logo

n8n

Automation Integration

The fair-code workflow automation tool

From
Free
Rated
-
Valkey logo

Valkey

Databases

Open-source in-memory data store forked from Redis

From
Free
Rated
-

The short version

  • Each has a real cost: n8n starter tier limited to 1 project and 5 concurrent executions; Valkey younger project, so its track record is short even though the codebase is not
  • They diverge on capability: n8n covers Workflow automation, Valkey covers Redis-compatible.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which n8n and Valkey actually diverge.

Attributes where n8n and Valkey differ
Attributen8nValkey
Pricing modelsubscriptionOpen source, no licence fee; managed cloud billed separately
PlatformsWeb, Docker, Self-hostedLinux, macOS, Docker, Self-hosted
CategoryAutomation IntegrationDatabases
Founded2019Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 n8n

  • Workflow automation
  • Visual editor
  • Conditional execution
  • Looping
  • Error handling
  • Scheduling
  • Webhooks
  • REST API

Only in Valkey

  • Redis-compatible
  • BSD licensed
  • Rich data structures
  • Replication and persistence

What people use each for

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

n8n

  • Building AI agents and workflow automation for technical teamsnot Valkey
  • Visual workflow design with capability to write custom JavaScript or Python codenot Valkey
  • Enterprise deployments with self-hosted or cloud optionsnot Valkey
  • Integrating 500+ pre-built applications with custom API connectionsnot Valkey

Valkey

  • Continuing on a permissively licensed in-memory store after the Redis licence changenot n8n
  • Caching and session storage where a foundation-governed project is a procurement requirementnot n8n
  • Migrating from Redis without rewriting application codenot n8n

Where each one falls short

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

n8n

  • Starter tier limited to 1 project and 5 concurrent executions
  • Starter and Pro tiers restricted to Cloud hosting only, not self-hosted
  • Business tier requires 6 months minimum commitment at €667/month
  • SSO/SAML/LDAP authentication requires Business or Enterprise tier
  • Dedicated support with SLA available only on Enterprise plan

Valkey

  • Younger project, so its track record is short even though the codebase is not
  • Divergence from Redis grows over time, so compatibility is strongest near the fork point and weakens as both evolve
  • Ecosystem tooling and documentation still frequently assume Redis, leaving translation work

Pricing, plan by plan

n8n

Free
  • CommunityFree
    • Free self-hosted version on GitHub
    • Open source
  • Starter$20/month
    • 2,500 workflow executions
    • 5 concurrent executions
    • 2,300 AI credits/month
  • Pro$50/month
    • 10,000 workflow executions
    • 20 concurrent executions
    • 13,700 AI credits/month
  • Business$667/month
    • 40,000 workflow executions
    • Self-hosted option
    • 6 shared projects

Valkey

Free
  • ValkeyFree
    • Full functionality
    • Self-hosted
    • No usage limits

Which should you pick?

Choose n8n if

  • You need workflow automation.
  • You want to start without paying.
  • You work on Web, Docker, Self-hosted.
  • You also want visual editor.

Choose Valkey if

  • You need redis-compatible.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Self-hosted.
  • You also want bsd licensed.

Questions people ask

Is n8n or Valkey better?
Neither clearly leads. n8n starts at Free and Valkey at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, n8n or Valkey?
n8n starts at Free and Valkey at Free.
Does n8n or Valkey run on more platforms?
n8n runs on Web, Docker, Self-hosted. Valkey runs on Linux, macOS, Docker, Self-hosted.
Can I use n8n for free?
Both have a free tier, so you can try either at no cost before committing.
What is n8n best used for?
n8n is most often used for building ai agents and workflow automation for technical teams, visual workflow design with capability to write custom javascript or python code, enterprise deployments with self-hosted or cloud options, integrating 500+ pre-built applications with custom api connections. Of those, building ai agents and workflow automation for technical teams and visual workflow design with capability to write custom javascript or python code are not what Valkey is typically brought in for.
What can n8n do that Valkey cannot?
n8n covers Workflow automation, Visual editor, Conditional execution, Looping. Valkey covers Redis-compatible, BSD licensed, Rich data structures, Replication and persistence.

Answered from the vendors’ own pages

n8n: Is there a free version of n8n?

Yes, n8n Community Edition is free and open-source, available for self-hosting on GitHub with unlimited users and workflows.

Source
Valkey: Is Valkey free?

Yes, BSD-licensed open source under the Linux Foundation.

n8n: What is the difference between n8n plans?

Plans differ by monthly workflow executions (2,500 for Starter, 10,000 for Pro, 40,000 for Business), concurrent execution limits, AI credits, and shared project counts.

Source
Valkey: Why does Valkey exist?

Redis changed its licence away from BSD in 2024. Valkey is the community fork continuing under permissive terms, backed by AWS, Google Cloud and Oracle among others.

n8n: Does n8n offer annual billing discounts?

Yes, n8n offers 17% off when billing annually instead of monthly, and provides a Startup Plan at 50% off Business pricing for companies under 20 employees.

Source
Valkey: Can I switch from Redis to Valkey?

At the fork point it is drop-in compatible with existing clients and data. The further both projects move from that point, the more you should verify the specific features you use.

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