AI · head to head
Arize AI vs Dataiku

Arize AI
AI
AI engineering platform for observability and evaluation of agents and LLM apps
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Arize AI the free plan caps trace spans at 25,000 per month with only 15 days of retention.; Dataiku no pricing is published at any tier, and the plans page carries no figures at all
- They diverge on capability: Arize AI covers End-to-end tracing, Dataiku covers Visual data prep.
Where they differ
Only the attributes on which Arize AI and Dataiku actually diverge.
Identical on both: starting price (Free), pricing model (freemium), 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 Arize AI
- End-to-end tracing
- Evaluation framework
- Prompt testing and improvement
- Alyx AI engineering agent
- Custom dashboards
- Data warehouse integrations
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.
Arize AI
- Tracing and debugging production AI agentsnot Dataiku
- Running large-scale evaluations across traces and sessionsnot Dataiku
- Improving prompts before production rolloutnot Dataiku
- Storing and querying GenAI traces alongside a data warehousenot Dataiku
Dataiku
- Building and deploying data science and machine learning pipelinesnot Arize AI
- Giving analysts and data scientists a shared visual and code environmentnot Arize AI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Arize AI
- The free plan caps trace spans at 25,000 per month with only 15 days of retention.
- Self-hosted deployment and Data Fabric integration are restricted to the custom-priced Enterprise tier.
- Pricing beyond the $50/month Pro plan requires a custom quote, making cost planning less transparent at scale.
- Advanced compliance features like HIPAA are only available on Enterprise.
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
Arize AI
Free- AX FreeFree
- 25k trace spans/month
- 1 GB storage/month
- 15-day retention
- AX Pro$50/month
- 50k trace spans/month
- 10 GB storage/month
- 30-day retention
- AX Enterprise$undefined/mo
- Custom trace spans, storage, and retention
- SaaS or self-hosted deployment
- Managed agents and Data Fabric
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Which should you pick?
Choose Arize AI if
- You need end-to-end tracing.
- You want to start without paying.
- You work on web, api.
- You also want evaluation framework.
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 Arize AI or Dataiku better?
- Neither clearly leads. Arize AI starts at Free and Dataiku at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Arize AI or Dataiku?
- Arize AI starts at Free and Dataiku at Free.
- Does Arize AI or Dataiku run on more platforms?
- Arize AI runs on web, api. Dataiku runs on Linux, Mac, Windows, Web.
- Can I use Arize AI for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Arize AI best used for?
- Arize AI is most often used for tracing and debugging production ai agents, running large-scale evaluations across traces and sessions, improving prompts before production rollout, storing and querying genai traces alongside a data warehouse. Of those, tracing and debugging production ai agents and running large-scale evaluations across traces and sessions are not what Dataiku is typically brought in for.
- What can Arize AI do that Dataiku cannot?
- Arize AI covers End-to-end tracing, Evaluation framework, Prompt testing and improvement, Alyx AI engineering agent. Dataiku covers Visual data prep, AutoML, MLOps, Collaboration.
Answered from the vendors’ own pages
Arize AI: What does Arize AX cost?
Arize AX offers a free plan, a Pro plan at $50/month, and a custom-priced Enterprise plan, with pricing based on trace spans, storage, and retention needs.
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.
SourceArize AI: Is there a free plan, and what are its limits?
The AX Free plan includes 25,000 trace spans and 1 GB of storage per month with 15-day retention, plus unlimited users, evaluations, and experiments.
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.
SourceArize AI: What deployment options are available?
Free and Pro plans are SaaS-only, while Enterprise customers can choose SaaS or self-hosted deployment with custom SLAs.
SourceRelated pages
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- Dataiku vs Pika
- Dataiku vs Anthropic API
- Dataiku vs D-ID
- Dataiku vs Fathom
- Dataiku vs Together AI
- Dataiku vs Stable Diffusion
- Dataiku vs ChatGPT
- Dataiku vs Perplexity
- Dataiku vs AutoGen
- Dataiku vs Black Forest Labs
- Dataiku vs Cartesia
- Dataiku vs Deepgram
- Dataiku vs Galileo
- Dataiku vs Helicone
- Dataiku vs Ideogram
- Dataiku vs Jasper
- Dataiku vs LangGraph
- Dataiku vs Lindy
- 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

