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Machine Learning & Data Science · head to head

KNIME vs Google Vertex AI

KNIME logo

KNIME

Machine Learning & Data Science

Open source data analytics and integration platform

From
Free
Rated
-
Full reviewWebsite
Google Vertex AI logo

Google Vertex AI

Machine Learning & Data Science

Unified ML platform to build, deploy, and scale AI models

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only KNIME has a free tier, so it costs nothing to try first.
  • Each has a real cost: KNIME the free Analytics Platform runs locally only, so anything shared or scheduled requires a paid Hub; Google Vertex AI vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • They diverge on capability: KNIME covers Visual workflows, Google Vertex AI covers AutoML.

Where they differ

Only the attributes on which KNIME and Google Vertex AI actually diverge.

Attributes where KNIME and Google Vertex AI differ
AttributeKNIMEGoogle Vertex AI
Starting priceFreeOn request
Pricing modelfreemiumUnknown
Free tierYesNo
PlatformsLinux, Mac, WindowsCloud, Web
Founded20042008

Identical on both: user rating (Not yet rated), category (Machine Learning & Data Science).

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 Google Vertex AI

  • AutoML
  • Custom training
  • Feature Store
  • Model monitoring
  • Prediction serving
  • BigQuery
  • Cloud Storage
  • PyTorch

Both cover

  • TensorFlow

What people use each for

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

KNIME

  • Building data pipelines and analytics workflows visually rather than in codenot Google Vertex AI
  • Connecting and blending data across many sources for analysisnot Google Vertex AI

Google Vertex AI

  • Machine learningnot KNIME
  • Data analysisnot KNIME
  • Model trainingnot KNIME
  • Predictive analyticsnot 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

Google Vertex AI

  • Vendor lock-in to Google Cloud ecosystem makes migration to other platforms difficult
  • Requires familiarity with Google Cloud Platform infrastructure and concepts
  • Cost can escalate quickly with large training and inference workloads

Pricing, plan by plan

KNIME

Free
  • Analytics PlatformFree
    • Visual workflows
    • All nodes
    • Community extensions
  • ServerFree
    • Team collaboration
    • Workflow automation
    • REST API

Google Vertex AI

On request

No published plan breakdown. See the Google Vertex AI review.

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 Google Vertex AI if

  • You need automl.
  • You work on Cloud, Web.
  • You also want custom training.
Google Vertex AI review

Questions people ask

Is KNIME or Google Vertex AI better?
Neither clearly leads. KNIME starts at Free and Google Vertex AI at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, KNIME or Google Vertex AI?
KNIME has a free tier; the other does not. Paid plans start at Free for KNIME and On request for Google Vertex AI.
Does KNIME or Google Vertex AI run on more platforms?
KNIME runs on Linux, Mac, Windows. Google Vertex AI runs on Cloud, Web.
Can I use KNIME for free?
Yes. KNIME has a free tier, so you can try it without paying. Google Vertex AI starts at On request.
What is KNIME best used for?
KNIME is most often used for building data pipelines and analytics workflows visually rather than in code, connecting and blending data across many sources for analysis. Of those, building data pipelines and analytics workflows visually rather than in code and connecting and blending data across many sources for analysis are not what Google Vertex AI is typically brought in for.
What can KNIME do that Google Vertex AI cannot?
KNIME covers Visual workflows, Data preprocessing, Machine learning, Visualization. Google Vertex AI covers AutoML, Custom training, Feature Store, Model monitoring. Both handle TensorFlow.

Answered from the vendors’ own pages

Google Vertex AI: What is the pricing model for Google Vertex AI?

Vertex AI uses a pay-as-you-go model with no upfront costs or lock-in fees. Costs vary by service: training is billed by compute resources and time (30-second increments), online predictions by machine type per hour, and batch predictions by compute time or per-record for specific AutoML types.

Source
Google Vertex AI: What types of data can Vertex AI handle?

Vertex AI supports image, video, text, and tabular data types with tools for uploading, storing, and managing large datasets.

Source
Google Vertex AI: Does Vertex AI support custom model training?

Yes. Vertex AI supports both AutoML for automated machine learning and custom training code in Python, R, and other languages.

Source
Google Vertex AI: What deployment options are available in Vertex AI?

Vertex AI supports online predictions for real-time use cases and batch predictions for large-scale processing.

Source

Related pages

More on KNIME

More on Google Vertex AI

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