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Databases · head to head

DataStax vs Memcached

DataStax logo

DataStax

Databases

The real-time data company for AI applications

From
Free
Rated
-
M

Memcached

Databases

Distributed memory object caching system

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; Memcached no persistence at all: restart a node and its cache is gone, which every design must assume
  • They diverge on capability: DataStax covers Cassandra Compatible, Memcached covers In-memory key-value cache.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which DataStax and Memcached actually diverge.

Attributes where DataStax and Memcached differ
AttributeDataStaxMemcached
Pricing modelfreemiumOpen source, no licence fee; managed cloud billed separately
PlatformsWeb, Aws, Azure, GcpLinux, macOS, Windows, 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 Memcached

  • In-memory key-value cache
  • Multithreaded
  • Client-side sharding
  • Predictable memory use

What people use each for

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

DataStax

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

Memcached

  • Caching expensive database query results to cut loadnot DataStax
  • Session storage where losing sessions on restart is acceptablenot DataStax
  • Fronting an API whose responses are costly and change slowlynot 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

Memcached

  • No persistence at all: restart a node and its cache is gone, which every design must assume
  • No replication or failover, so losing a node loses that share of the cache
  • Only simple key-value, with none of the lists, sorted sets or streams Redis offers
  • Values are capped at 1MB by default, which surprises teams caching large documents

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

Memcached

Free
  • MemcachedFree
    • 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 Memcached if

  • You need in-memory key-value cache.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Self-hosted.
  • You also want multithreaded.

Questions people ask

Is DataStax or Memcached better?
Neither clearly leads. DataStax starts at Free and Memcached at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DataStax or Memcached?
DataStax starts at Free and Memcached at Free.
Does DataStax or Memcached run on more platforms?
DataStax runs on Web, Aws, Azure, Gcp. Memcached runs on Linux, macOS, Windows, 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 Memcached is typically brought in for.
What can DataStax do that Memcached cannot?
DataStax covers Cassandra Compatible, Vector Search, Serverless, Multi-cloud. Memcached covers In-memory key-value cache, Multithreaded, Client-side sharding, Predictable memory use.

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
Memcached: Is Memcached free?

Yes, open source with no licence fee.

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
Memcached: Memcached or Redis?

Memcached is a pure cache: simpler, multithreaded and very predictable. Redis adds persistence, replication and rich data structures, which is why it is the default choice unless you specifically want a cache and nothing more.

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
Memcached: Does Memcached persist data?

No. Everything is in memory and lost on restart, by design.

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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