Machine Learning · head to head
Langwatch vs Dataiku
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: Langwatch free plan limited to 50k events per month, restricting larger deployments; Dataiku no pricing is published at any tier, and the plans page carries no figures at all
- They diverge on capability: Langwatch covers Agent simulation testing, Dataiku covers Visual data prep.
Where they differ
Only the attributes on which Langwatch and Dataiku 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 Langwatch
- Agent simulation testing
- LLM evaluation
- OpenTelemetry tracing
- Langy AI Engineer
- Governance controls
- Multiple deployment options
- Framework support
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.
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
Dataiku
- Building and deploying data science and machine learning pipelinesnot Langwatch
- Giving analysts and data scientists a shared visual and code environmentnot Langwatch
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
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
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
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Which should you pick?
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.
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 Langwatch or Dataiku better?
- Neither clearly leads. Langwatch 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, Langwatch or Dataiku?
- Langwatch starts at Free and Dataiku at Free.
- Does Langwatch or Dataiku run on more platforms?
- Langwatch runs on Web, Docker, Kubernetes. Dataiku runs on Linux, Mac, Windows, Web.
- Can I use Langwatch for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Langwatch best used for?
- Langwatch is most often used for continuous testing of ai agents before production deployment, automated test creation from product requirements, llm response quality evaluation and scoring, production agent monitoring and cost tracking. Of those, continuous testing of ai agents before production deployment and automated test creation from product requirements are not what Dataiku is typically brought in for.
- What can Langwatch do that Dataiku cannot?
- Langwatch covers Agent simulation testing, LLM evaluation, OpenTelemetry tracing, Langy AI Engineer. Dataiku covers Visual data prep, AutoML, MLOps, Collaboration.
Answered from the vendors’ own pages
Langwatch: 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: 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: 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.
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 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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