Software Development · head to head
Amp vs Dataiku
The short version
- Only Dataiku has a free tier, so it costs nothing to try first.
- Each has a real cost: Amp minimum $20/month subscription cost with limited orb hours (750); Dataiku no pricing is published at any tier, and the plans page carries no figures at all
Where they differ
Only the attributes on which Amp and Dataiku actually diverge.
Identical on both: 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 Amp
Nothing recorded that Dataiku does not also cover.
Only in Dataiku
- Visual data prep
- AutoML
- MLOps
- Collaboration
- Governence
- Python
- R
- Spark
What people use each for
The jobs each tool is most often brought in to do.
Amp
No use cases recorded yet. See the Amp review.
Dataiku
- Building and deploying data science and machine learning pipelinesnot Amp
- Giving analysts and data scientists a shared visual and code environmentnot Amp
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Amp
- Minimum $20/month subscription cost with limited orb hours (750)
- High-tier Gigawatt plan at $200/month required for ultra mode agents
- Usage limits apply after included quotas are consumed each month
- Each user limited to maximum of 2 simultaneous subscriptions
Dataiku
- No pricing is published at any tier, and the plans page carries no figures at all
- User, row and compute limits are not stated, so nothing about scale can be assessed before contacting sales
- Access begins with a demo request or a trial rather than a self serve signup
Pricing, plan by plan
Amp
$20/monthly- Megawatt$20/monthly
- All product features
- 750 hours of orbs
- Use your ChatGPT subscription
- Gigawatt$200/monthly
- Everything in Megawatt plus: 1
- 000 hours of xxlarge orbs
- $200 included agent usage
- Education Discount$10/monthly
- For students and teachers: full access at $10/month (50% off Megawatt)
- Unconstrained$undefined/usage
- Pay for what you use at standard rates
- all agent modes
- API pricing for model tokens and orbs
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Which should you pick?
Choose Amp if
Nothing in the data separates Amp from Dataiku on the points above - pick on price and on how each one feels to use.
Choose Dataiku if
- You need visual data prep.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want automl.
Questions people ask
- Is Amp or Dataiku better?
- Neither clearly leads. Amp starts at $20/monthly and Dataiku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amp or Dataiku?
- Dataiku has a free tier; the other does not. Paid plans start at $20/monthly for Amp and Free for Dataiku.
- Does Amp or Dataiku run on more platforms?
- Amp runs on Web. Dataiku runs on Linux, Mac, Windows, Web.
- Can I use Dataiku for free?
- Yes. Dataiku has a free tier, so you can try it without paying. Amp starts at $20/monthly.
- What can Amp do that Dataiku cannot?
- Dataiku covers Visual data prep, AutoML, MLOps, Collaboration.
Answered from the vendors’ own pages
Amp: How much does Amp cost per month?
Amp offers two main monthly plans: Megawatt at $20/month (750 hours of orbs) and Gigawatt at $200/month (1,000 hours of xxlarge orbs). Students and teachers get a 50% education discount ($10/month). Source: https://ampcode.com/pricing
SourceDataiku: What are Dataiku pricing tiers and costs?
Dataiku pricing information is not available on their public website. Customers must contact Dataiku sales directly to request pricing, trial access, and licensing information.
SourceAmp: What usage is included in Amp subscriptions?
At minimum, Amp subscriptions include agent usage equal to the subscription cost per month. Depending on usage patterns, you may receive additional usage beyond the base guarantee. Megawatt includes 750 orb hours and Gigawatt includes 1,000 hours of xxlarge orbs.
SourceDataiku: Does Dataiku offer a free tier or trial?
Free tier or trial availability for Dataiku cannot be determined from publicly accessible pages. Contact Dataiku directly to inquire about evaluation options.
SourceAmp: Can I use my own ChatGPT subscription with Amp?
Yes, Amp subscribers who link a ChatGPT subscription pay no per-token fees and can use as many tokens as their third-party subscription allows, making it ideal for users who already have ChatGPT access.
SourceRelated pages
Other head to heads
- Amp vs Cursor
- Amp vs Windsurf
- Amp vs Zed
- Amp vs Braintrust
- Amp vs Codacy
- Amp vs DeepSource
- Amp vs Devin
- Amp vs SonarQube Cloud
- Amp vs Augment Code
- Amp vs Baseten
- Amp vs Drizzle ORM
- Amp vs Flagsmith
- Amp vs Unleash
- Amp vs Bun
- Amp vs Cline
- Amp vs Factory
- Amp vs Humanloop
- Amp vs Langfuse
- Amp vs AWS SageMaker
- Amp vs Google Vertex AI
- Amp vs Azure Machine Learning
- Amp vs DataRobot
- Amp vs MLflow
- Amp vs Snowflake
- Amp vs TensorFlow
- Amp vs Comet ML
- Amp vs Jupyter
- Amp vs LangChain
- Amp vs Pinecone
- Amp vs Python
- Amp vs PyTorch
- Amp vs scikit-learn
- Amp vs Apache Spark MLlib
- Amp vs Weaviate
- Amp vs Weights & Biases
- Amp vs Alteryx
- Dataiku vs Cursor
- Dataiku vs Windsurf
- Dataiku vs Zed
- Dataiku vs Braintrust
- Dataiku vs Codacy
- Dataiku vs DeepSource
- Dataiku vs Devin
- Dataiku vs SonarQube Cloud
- Dataiku vs Augment Code
- Dataiku vs Baseten
- Dataiku vs Drizzle ORM
- Dataiku vs Flagsmith
- Dataiku vs Unleash
- Dataiku vs Bun
- Dataiku vs Cline
- Dataiku vs Factory
- Dataiku vs Humanloop
- Dataiku vs Langfuse
- Dataiku vs AWS SageMaker
- Dataiku vs Google Vertex AI
- Dataiku vs Azure Machine Learning
- Dataiku vs DataRobot
- Dataiku vs MLflow
- Dataiku vs Snowflake
- Dataiku vs TensorFlow
- Dataiku vs Comet ML
- Dataiku vs Jupyter
- Dataiku vs LangChain
- Dataiku vs Pinecone
- Dataiku vs Python
- Dataiku vs PyTorch
- Dataiku vs scikit-learn
- Dataiku vs Apache Spark MLlib
- Dataiku vs Weaviate
- Dataiku vs Weights & Biases
- Dataiku vs Alteryx

