Machine Learning · head to head
KNIME vs Memcached

KNIME
Machine Learning
Open source data analytics and integration platform
- From
- Free
- Rated
- -
The short version
- Each has a real cost: KNIME the free Analytics Platform runs locally only, so anything shared or scheduled requires a paid Hub; Memcached no persistence at all: restart a node and its cache is gone, which every design must assume
- They diverge on capability: KNIME covers Visual workflows, 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 KNIME and Memcached 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 KNIME
- Visual workflows
- Data preprocessing
- Machine learning
- Visualization
- Reporting
- Python
- R
- Spark
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.
KNIME
- Data science and machine learning workflowsnot Memcached
- ETL and data pipeline automationnot Memcached
- Predictive analytics and modelingnot Memcached
Memcached
- Caching expensive database query results to cut loadnot KNIME
- Session storage where losing sessions on restart is acceptablenot KNIME
- Fronting an API whose responses are costly and change slowlynot KNIME
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
KNIME
- The free Analytics Platform runs locally only, so anything shared or scheduled requires a paid Hub
- The free AI assistant is limited to 20 interactions a month
- Paid workflow runtime is metered in credits, with 120 included on Pro and overage at $0.025 per vCore minute
- The Team plan at $99 a month includes 3 members, with additional seats at $49 a month each
- Business Hub pricing is on request, and its tiers are capped at 4, 8 and 16 vCores with 5, 5 and 20 users
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
KNIME
Free- Analytics PlatformFree
- 300+ data sources
- Unlimited local processing
- K-AI assistant (20 interactions/month)
- Pro$19/month
- 120 workflow runtime credits
- Data app deployment
- K-AI (500 interactions/month)
- Team$99/month
- All Pro features
- Collaboration spaces for up to 3 team members
- Additional members: $49/month each
- Business Hub$null/month
- Enterprise automation and governance
- LDAP/OAuth authentication
- Staged deployment
Memcached
Free- MemcachedFree
- Full functionality
- Self-hosted
- No usage limits
Which should you pick?
Choose KNIME if
- You need visual workflows.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want data preprocessing.
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 KNIME or Memcached better?
- Neither clearly leads. KNIME 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, KNIME or Memcached?
- KNIME starts at Free and Memcached at Free.
- Does KNIME or Memcached run on more platforms?
- KNIME runs on Linux, Mac, Windows. Memcached runs on Linux, macOS, Windows, Docker, Self-hosted.
- Can I use KNIME for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is KNIME best used for?
- KNIME is most often used for data science and machine learning workflows, etl and data pipeline automation, predictive analytics and modeling. Of those, data science and machine learning workflows and etl and data pipeline automation are not what Memcached is typically brought in for.
- What can KNIME do that Memcached cannot?
- KNIME covers Visual workflows, Data preprocessing, Machine learning, Visualization. Memcached covers In-memory key-value cache, Multithreaded, Client-side sharding, Predictable memory use.
Answered from the vendors’ own pages
KNIME: Is KNIME free?
Yes, KNIME Analytics Platform is free with 300+ data sources, unlimited local processing, and 20 K-AI assistant interactions per month.
SourceMemcached: Is Memcached free?
Yes, open source with no licence fee.
KNIME: What do KNIME paid plans cost?
Pro plan starts at $19/month with 120 runtime credits. Team plan starts at $99/month for up to 3 members, with additional members at $49/month each.
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.
KNIME: What is KNIME's runtime credit system?
Pro and Team plans include runtime credits for workflow execution. Additional runtime beyond included credits costs $0.025 per vCore minute.
SourceMemcached: Does Memcached persist data?
No. Everything is in memory and lost on restart, by design.
KNIME: Does KNIME offer enterprise pricing?
Yes, Business Hub is available for enterprises needing automation, governance, LDAP/OAuth auth, and dedicated resources. Pricing available on request.
SourceRelated pages
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- Memcached vs AWS SageMaker
- Memcached vs Google Vertex AI
- Memcached vs Azure Machine Learning
- Memcached vs DataRobot
- Memcached vs RapidMiner
- Memcached vs Dataiku
- Memcached vs Alteryx
- Memcached vs Orange
- Memcached vs Jupyter
- Memcached vs Python
- Memcached vs ClearML
- Memcached vs Ollama
- Memcached vs OpenRouter
- Memcached vs Pachyderm
- Memcached vs Ray
- 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
