Databases · head to head
Valkey vs Weaviate
The short version
- Each has a real cost: Valkey younger project, so its track record is short even though the codebase is not; Weaviate the free tier caps at 100,000 objects, 1 GB of memory and a single collection
- They diverge on capability: Valkey covers Redis-compatible, Weaviate covers Vector and keyword search.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Valkey and Weaviate actually diverge.
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 Valkey
- Redis-compatible
- BSD licensed
- Rich data structures
- Replication and persistence
Only in Weaviate
- Vector and keyword search
- Built-in vectorizers
- GraphQL API
- Multi-tenancy
- Hybrid search
- OpenAI
- Hugging Face
- Cohere
What people use each for
The jobs each tool is most often brought in to do.
Valkey
- Continuing on a permissively licensed in-memory store after the Redis licence changenot Weaviate
- Caching and session storage where a foundation-governed project is a procurement requirementnot Weaviate
- Migrating from Redis without rewriting application codenot Weaviate
Weaviate
- Running a vector database for semantic and hybrid searchnot Valkey
- Generating and storing embeddings alongside the objects they describenot Valkey
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Weaviate
- The free tier caps at 100,000 objects, 1 GB of memory and a single collection
- Billing is per million vector dimensions rather than per record, so wider embeddings cost proportionally more for the same object count
- Premium is a prepaid contract starting at $400 a month rather than pay as you go
- Storage rates do not fall consistently with tier, and Premium Dedicated is $0.1505 per GiB against $0.12 on the cheaper Flex plan
- The Query Agent is metered separately, free to 1,000 requests a month and $30 a month plus overage beyond
Pricing, plan by plan
Valkey
Free- ValkeyFree
- Full functionality
- Self-hosted
- No usage limits
Weaviate
Free- Open SourceFree
- Full features
- Self-hosted
- ServerlessFree
- Managed service
- Auto-scaling
Which should you pick?
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.
Choose Weaviate if
- You need vector and keyword search.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want built-in vectorizers.
Questions people ask
- Is Valkey or Weaviate better?
- Neither clearly leads. Valkey starts at Free and Weaviate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Valkey or Weaviate?
- Valkey starts at Free and Weaviate at Free.
- Does Valkey or Weaviate run on more platforms?
- Valkey runs on Linux, macOS, Docker, Self-hosted. Weaviate runs on Linux, Mac, Windows, Web.
- Can I use Valkey for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Valkey best used for?
- Valkey is most often used for continuing on a permissively licensed in-memory store after the redis licence change, caching and session storage where a foundation-governed project is a procurement requirement, migrating from redis without rewriting application code. Of those, continuing on a permissively licensed in-memory store after the redis licence change and caching and session storage where a foundation-governed project is a procurement requirement are not what Weaviate is typically brought in for.
- What can Valkey do that Weaviate cannot?
- Valkey covers Redis-compatible, BSD licensed, Rich data structures, Replication and persistence. Weaviate covers Vector and keyword search, Built-in vectorizers, GraphQL API, Multi-tenancy.
Answered from the vendors’ own pages
Valkey: Is Valkey free?
Yes, BSD-licensed open source under the Linux Foundation.
Weaviate: What pricing options does Weaviate offer?
Weaviate provides a free tier with usage-based pricing, plus enterprise options. Visit the pricing page for detailed information on plans.
SourceValkey: 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.
Weaviate: Does Weaviate offer customer support?
Yes, support is included with Weaviate's cloud offerings. Enterprise customers receive first-class support from their global team of experts.
SourceValkey: 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.
Weaviate: Can I deploy Weaviate on my own infrastructure?
Yes. Weaviate is open source and deployment-agnostic. You can run it in your own cloud environment or use their managed cloud service.
SourceWeaviate: What data security features does Weaviate provide?
Weaviate includes security & governance, RBAC, SOC 2 and HIPAA compliance, along with multi-tenancy and high availability for enterprise requirements.
SourceWeaviate: How do I get started with Weaviate?
Sign up for their cloud tier, create your first dataset, connect an LLM, and build your AI app. Documentation and quickstart guides are available for Python, Go, TypeScript, and JavaScript.
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