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Databases · head to head

DataStax vs Valkey

DataStax logo

DataStax

Databases

The real-time data company for AI applications

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: DataStax dataStax's own Astra DB documentation states the Enterprise plan is an annual, contract-based plan with negotiated pricing, meaning list prices are not published for that tier; Valkey younger project, so its track record is short even though the codebase is not
  • They diverge on capability: DataStax covers Cassandra Compatible, Valkey covers Redis-compatible.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DataStax and Valkey actually diverge.

Attributes where DataStax and Valkey differ
AttributeDataStaxValkey
Pricing modelfreemiumOpen source, no licence fee; managed cloud billed separately
PlatformsWeb, Aws, Azure, GcpLinux, macOS, Docker, Self-hosted
Founded2010Unknown

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

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 DataStax

  • Cassandra Compatible
  • Vector Search
  • Serverless
  • Multi-cloud
  • Streaming
  • CDC
  • GraphQL API
  • LangChain

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.

DataStax

  • Real-time applicationsnot Valkey
  • Content managementnot Valkey
  • User profilesnot Valkey
  • Mobile backendsnot Valkey
  • Cachingnot Valkey

Valkey

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

Where each one falls short

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

DataStax

  • DataStax's own Astra DB documentation states the Enterprise plan is an annual, contract-based plan with negotiated pricing, meaning list prices are not published for that tier
  • DataStax's Astra DB documentation directs Standard plan customers to IBM's watsonx.data pricing for exact consumption-based rates following the DataStax/IBM deal, rather than publishing them on DataStax's own site

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

DataStax

Free
  • FreeFree
    • 5GB storage
    • 40M read/write ops
    • Vector search
  • Pay As You GoFree
    • Usage-based pricing
    • Multi-region
    • Enterprise support

Valkey

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

Which should you pick?

Choose DataStax if

  • You need cassandra compatible.
  • You want to start without paying.
  • You work on Web, Aws, Azure, Gcp.
  • You also want vector search.

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 DataStax or Valkey better?
Neither clearly leads. DataStax 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, DataStax or Valkey?
DataStax starts at Free and Valkey at Free.
Does DataStax or Valkey run on more platforms?
DataStax runs on Web, Aws, Azure, Gcp. Valkey runs on Linux, macOS, Docker, Self-hosted.
Can I use DataStax for free?
Both have a free tier, so you can try either at no cost before committing.
What is DataStax best used for?
DataStax is most often used for real-time applications, content management, user profiles, mobile backends. Of those, real-time applications and content management are not what Valkey is typically brought in for.
What can DataStax do that Valkey cannot?
DataStax covers Cassandra Compatible, Vector Search, Serverless, Multi-cloud. Valkey covers Redis-compatible, BSD licensed, Rich data structures, Replication and persistence.

Answered from the vendors’ own pages

DataStax: Is DataStax available as a managed service?

Yes, DataStax is available as Astra DB, a managed database service. Users can sign up for Astra DB directly to create accounts and access the platform.

Source
Valkey: Is Valkey free?

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

DataStax: How is DataStax priced?

DataStax (now part of IBM) does not publish pricing on its documentation homepage. Pricing information would need to be obtained through the Astra DB signup page or by contacting IBM directly.

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.

DataStax: Is there an enterprise licensing option?

DataStax is now part of IBM. Enterprise customers should contact IBM directly for licensing agreements and enterprise-specific pricing.

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.

DataStax: Can I try DataStax without an account?

To use DataStax Astra DB, account creation is required. The documentation does not mention a free trial or demonstration environment that does not require signup.

Source
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