Databases · head to head
Memcached vs Weka
The short version
- Each has a real cost: Memcached no persistence at all: restart a node and its cache is gone, which every design must assume; Weka the package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
- They diverge on capability: Memcached covers In-memory key-value cache, Weka covers Classification.
- Prices and features above were last checked on 1 September 2026.
Where they differ
Only the attributes on which Memcached and Weka 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 Memcached
- In-memory key-value cache
- Multithreaded
- Client-side sharding
- Predictable memory use
Only in Weka
- Classification
- Regression
- Clustering
- Association rules
- Feature selection
- Java
- R
- Python
What people use each for
The jobs each tool is most often brought in to do.
Memcached
- Caching expensive database query results to cut loadnot Weka
- Session storage where losing sessions on restart is acceptablenot Weka
- Fronting an API whose responses are costly and change slowlynot Weka
Weka
- Teaching and exploring classic machine learning algorithms through a GUInot Memcached
- Running data mining experiments and preprocessing without writing codenot Memcached
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Weka
- The package management system needs an internet connection to download and install packages, so an air-gapped install gets only the core distribution
- Weka is split into a stable 3.8 branch that receives only bug fixes and compatibility-safe upgrades and a 3.9 development branch that may receive features that break compatibility
- Weka requires a 64-bit Java VM; the bundled installers ship Bellsoft OpenJDK 25 per platform and architecture
Pricing, plan by plan
Memcached
Free- MemcachedFree
- Full functionality
- Self-hosted
- No usage limits
Weka
Free- Open SourceFree
- All ML algorithms
- GUI and CLI
- Java API
Which should you pick?
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.
Choose Weka if
- You need classification.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want regression.
Questions people ask
- Is Memcached or Weka better?
- Neither clearly leads. Memcached starts at Free and Weka at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Memcached or Weka?
- Memcached starts at Free and Weka at Free.
- Does Memcached or Weka run on more platforms?
- Memcached runs on Linux, macOS, Windows, Docker, Self-hosted. Weka runs on Linux, Mac, Windows.
- Can I use Memcached for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Memcached best used for?
- Memcached is most often used for caching expensive database query results to cut load, session storage where losing sessions on restart is acceptable, fronting an api whose responses are costly and change slowly. Of those, caching expensive database query results to cut load and session storage where losing sessions on restart is acceptable are not what Weka is typically brought in for.
- What can Memcached do that Weka cannot?
- Memcached covers In-memory key-value cache, Multithreaded, Client-side sharding, Predictable memory use. Weka covers Classification, Regression, Clustering, Association rules.
Answered from the vendors’ own pages
Memcached: Is Memcached free?
Yes, open source with no licence fee.
Weka: What is the cost of Weka software?
Weka is provided at no cost as open-source software released under the GNU General Public License, making it freely available for download and use.
SourceMemcached: 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.
Weka: Are there commercial licensing options available?
Yes, the project offers information about commercial licenses for organizations requiring non-GPL terms, which can be found in their commercial applications documentation.
SourceMemcached: Does Memcached persist data?
No. Everything is in memory and lost on restart, by design.
Weka: What support resources are available to users?
Multiple support avenues exist including comprehensive documentation, frequently asked questions, dedicated help resources, and access to courses for learning the platform.
SourceWeka: Is source code access provided?
Yes, developers have full access to source code through the Git repository, along with development documentation and code credits for contributors.
SourceRelated pages
Other head to heads
- Memcached vs Dragonfly
- Memcached vs Valkey
- Memcached vs Readyset
- Memcached vs PostgreSQL
- Memcached vs DuckDB
- Memcached vs DynamoDB
- Memcached vs NATS
- Memcached vs Apache Pulsar
- Memcached vs Presto
- Memcached vs Timeplus
- Memcached vs RabbitMQ
- Memcached vs EMQX
- Memcached vs FaunaDB
- Memcached vs Firebase Realtime Database
- Memcached vs MotherDuck
- Memcached vs Neo4j
- Memcached vs Apache Kafka
- Memcached vs Firestore
- Memcached vs AWS SageMaker
- Memcached vs Google Vertex AI
- Memcached vs Azure Machine Learning
- Memcached vs DataRobot
- Memcached vs Orange
- Memcached vs scikit-learn
- Memcached vs Databricks
- Memcached vs MATLAB
- Memcached vs SAS
- Memcached vs Apache Spark MLlib
- Memcached vs ClearML
- Memcached vs Minitab
- Memcached vs Mistral AI
- Memcached vs Ollama
- Memcached vs OpenRouter
- Memcached vs BigQuery ML
- Memcached vs JMP
- Weka vs Dragonfly
- Weka vs Valkey
- Weka vs Readyset
- Weka vs PostgreSQL
- Weka vs DuckDB
- Weka vs DynamoDB
- Weka vs NATS
- Weka vs Apache Pulsar
- Weka vs Presto
- Weka vs Timeplus
- Weka vs RabbitMQ
- Weka vs EMQX
- Weka vs FaunaDB
- Weka vs Firebase Realtime Database
- Weka vs MotherDuck
- Weka vs Neo4j
- Weka vs Apache Kafka
- Weka vs Firestore
- Weka vs AWS SageMaker
- Weka vs Google Vertex AI
- Weka vs Azure Machine Learning
- Weka vs DataRobot
- Weka vs Orange
- Weka vs scikit-learn
- Weka vs Databricks
- Weka vs MATLAB
- Weka vs SAS
- Weka vs Apache Spark MLlib
- Weka vs ClearML
- Weka vs Minitab
- Weka vs Mistral AI
- Weka vs Ollama
- Weka vs OpenRouter
- Weka vs BigQuery ML
- Weka vs JMP

