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Machine Learning · head to head

KNIME vs Redpanda

KNIME logo

KNIME

Machine Learning

Open source data analytics and integration platform

From
Free
Rated
-
Full reviewWebsite
Redpanda logo

Redpanda

Databases

Kafka-compatible streaming platform with no ZooKeeper or JVM

From
Free
Rated
-
Full reviewWebsite

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; Redpanda the community edition is source-available rather than OSI open source, which matters for some procurement
  • They diverge on capability: KNIME covers Visual workflows, Redpanda covers Kafka API compatible.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which KNIME and Redpanda actually diverge.

Attributes where KNIME and Redpanda differ
AttributeKNIMERedpanda
Pricing modelfreemiumSource-available community edition with paid enterprise and cloud tiers
PlatformsLinux, Mac, WindowsLinux, Docker, Kubernetes, Self-hosted
CategoryMachine LearningDatabases
Founded2004Unknown

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 Redpanda

  • Kafka API compatible
  • No JVM or ZooKeeper
  • Thread-per-core
  • Built-in HTTP proxy and schema registry

What people use each for

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

KNIME

  • Data science and machine learning workflowsnot Redpanda
  • ETL and data pipeline automationnot Redpanda
  • Predictive analytics and modelingnot Redpanda

Redpanda

  • Kafka workloads where the operational cost of running Kafka is the blockernot KNIME
  • Latency-sensitive streaming where tail latency mattersnot KNIME
  • Smaller teams wanting streaming without a dedicated platform groupnot 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

Redpanda

  • The community edition is source-available rather than OSI open source, which matters for some procurement
  • Kafka API compatibility is high but not total, and deep ecosystem tools can hit gaps
  • Smaller community than Kafka, so fewer people have solved your problem before
  • Some operational and tiered-storage features are enterprise-only

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

Redpanda

Free
  • CommunityFree
    • Kafka-compatible broker
    • Single binary
    • Community support

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.
KNIME review

Choose Redpanda if

  • You need kafka api compatible.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want no jvm or zookeeper.
Redpanda review

Questions people ask

Is KNIME or Redpanda better?
Neither clearly leads. KNIME starts at Free and Redpanda at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, KNIME or Redpanda?
KNIME starts at Free and Redpanda at Free.
Does KNIME or Redpanda run on more platforms?
KNIME runs on Linux, Mac, Windows. Redpanda runs on Linux, Docker, Kubernetes, 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 Redpanda is typically brought in for.
What can KNIME do that Redpanda cannot?
KNIME covers Visual workflows, Data preprocessing, Machine learning, Visualization. Redpanda covers Kafka API compatible, No JVM or ZooKeeper, Thread-per-core, Built-in HTTP proxy and schema registry.

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.

Source
Redpanda: Is Redpanda free?

A community edition is free and source-available. Enterprise features and Redpanda Cloud are paid, and the licence is not OSI open source.

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.

Source
Redpanda: Can I use my Kafka clients?

Yes. Redpanda implements the Kafka API, so existing clients and most tooling connect without changes.

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.

Source
Redpanda: Why remove ZooKeeper and the JVM?

Both are significant sources of Kafka’s operational burden — tuning, coordination and failure modes. Removing them is the core of Redpanda’s pitch.

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.

Source
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