Machine Learning · head to head
Dataiku vs Langwatch

Langwatch
Machine Learning
LLM engineering platform for testing and evaluating AI agents in production
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Dataiku no pricing is published at any tier, and the plans page carries no figures at all; Langwatch free plan limited to 50k events per month, restricting larger deployments
- They diverge on capability: Dataiku covers Visual data prep, Langwatch covers Agent simulation testing.
Where they differ
Only the attributes on which Dataiku and Langwatch actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning).
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 Dataiku
- Visual data prep
- AutoML
- MLOps
- Collaboration
- Governence
- Python
- R
- Spark
Only in Langwatch
- Agent simulation testing
- LLM evaluation
- OpenTelemetry tracing
- Langy AI Engineer
- Governance controls
- Multiple deployment options
- Framework support
What people use each for
The jobs each tool is most often brought in to do.
Dataiku
- Building and deploying data science and machine learning pipelinesnot Langwatch
- Giving analysts and data scientists a shared visual and code environmentnot Langwatch
Langwatch
- Continuous testing of AI agents before production deploymentnot Dataiku
- Automated test creation from product requirementsnot Dataiku
- LLM response quality evaluation and scoringnot Dataiku
- Production agent monitoring and cost trackingnot Dataiku
- Governance and access control for AI systemsnot Dataiku
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Langwatch
- Free plan limited to 50k events per month, restricting larger deployments
- Pricing in EUR may complicate budgeting for US-based teams
- Usage-based overage model can create unpredictable costs
- Self-hosted option requires DevOps expertise
Pricing, plan by plan
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Langwatch
Free- DeveloperFree
- 50k events per month
- 14-day data access
- 2 users
- Growth$29/month
- 200k events per month included
- 5 EUR per 100k additional events
- 30-day data retention
- Enterprise$undefined/custom
- Custom event limits
- Hybrid, self-hosted or on-premises deployment
- Custom SSO and RBAC
Which should you pick?
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.
Choose Langwatch if
- You need agent simulation testing.
- You want to start without paying.
- You work on Web, Docker, Kubernetes.
- You also want llm evaluation.
Questions people ask
- Is Dataiku or Langwatch better?
- Neither clearly leads. Dataiku starts at Free and Langwatch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dataiku or Langwatch?
- Dataiku starts at Free and Langwatch at Free.
- Does Dataiku or Langwatch run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. Langwatch runs on Web, Docker, Kubernetes.
- Can I use Dataiku for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Dataiku best used for?
- Dataiku is most often used for building and deploying data science and machine learning pipelines, giving analysts and data scientists a shared visual and code environment. Of those, building and deploying data science and machine learning pipelines and giving analysts and data scientists a shared visual and code environment are not what Langwatch is typically brought in for.
- What can Dataiku do that Langwatch cannot?
- Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Langwatch covers Agent simulation testing, LLM evaluation, OpenTelemetry tracing, Langy AI Engineer.
Answered from the vendors’ own pages
Dataiku: 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.
SourceLangwatch: Is there a permanent free tier?
Yes, Langwatch's Developer plan is free forever with 50k events per month, 14-day data access, 2 users, and no credit card required. It is specifically designed for individual developers prototyping AI applications.
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.
SourceLangwatch: What is Langy and how does it save time?
Langy is an AI-powered tool that automates test creation. It converts product requirements into test scenarios, runs simulations, scores results, and generates pull requests with fixes in a median of 14 minutes.
SourceLangwatch: What frameworks does Langwatch support?
Langwatch works with LangGraph, LangChain, CrewAI, OpenAI Agents, AWS Bedrock, Azure OpenAI, Vertex AI, and other major LLM frameworks and platforms.
SourceRelated pages
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- Langwatch vs MLflow
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- Langwatch vs TensorFlow
- Langwatch vs Comet ML
- Langwatch vs Jupyter
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- Langwatch vs Pinecone
- Langwatch vs Python
- Langwatch vs PyTorch
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- Langwatch vs Weaviate
- Langwatch vs Weights & Biases
- Langwatch vs Alteryx

