Machine Learning · head to head
Dataiku vs Lindy

Lindy
AI
AI teammate that automates work across your entire software stack
- 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; Lindy requires per-user subscription, which scales costs with team size
- They diverge on capability: Dataiku covers Visual data prep, Lindy covers Slack integration.
Where they differ
Only the attributes on which Dataiku and Lindy actually diverge.
Identical on both: starting price (Free), 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 Dataiku
- Visual data prep
- AutoML
- MLOps
- Collaboration
- Governence
- Python
- R
- Spark
Only in Lindy
- Slack integration
- Email automation
- Meeting transcription
- Scheduled routines
- 1,000+ app integrations
- Skill library
- Editable memory
- MCP 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 Lindy
- Giving analysts and data scientists a shared visual and code environmentnot Lindy
Lindy
- Automating email and calendar management across teamsnot Dataiku
- Transcribing and summarizing meetings automaticallynot Dataiku
- Updating CRM systems with meeting notes and leadsnot Dataiku
- Generating daily reports and weekly briefsnot Dataiku
- Processing structured data from multiple applicationsnot 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
Lindy
- Requires per-user subscription, which scales costs with team size
- Limited free trial period of 7 days may not allow full evaluation
- Credit system complexity could be confusing for new users
- Not designed for technical teams as primary tool
Pricing, plan by plan
Dataiku
Free- Free EditionFree
- Single user
- Core features
- EnterpriseFree
- Full platform
- Collaboration
- MLOps
Lindy
Free- Free TrialFree
- 7-day free trial for new team members joining via Slack
- Plus$29.99/month
- 3,000 credits per month
- Slack integration
- Email automation
- Pro$99.99/month
- 15,000 credits per month
- All Plus features
- Advanced automation
- Max$199.99/month
- 35,000 credits per month
- All Pro features
- Priority support
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 Lindy if
- You need slack integration.
- You want to start without paying.
- You work on Web, Slack, Email, Mobile.
- You also want email automation.
Questions people ask
- Is Dataiku or Lindy better?
- Neither clearly leads. Dataiku starts at Free and Lindy at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dataiku or Lindy?
- Dataiku starts at Free and Lindy at Free.
- Does Dataiku or Lindy run on more platforms?
- Dataiku runs on Linux, Mac, Windows, Web. Lindy runs on Web, Slack, Email, Mobile.
- 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 Lindy is typically brought in for.
- What can Dataiku do that Lindy cannot?
- Dataiku covers Visual data prep, AutoML, MLOps, Collaboration. Lindy covers Slack integration, Email automation, Meeting transcription, Scheduled routines.
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.
SourceLindy: How does Lindy maintain data privacy and security?
Lindy is SOC 2 Type II, GDPR, HIPAA, and PIPEDA compliant. Data is encrypted in transit and at rest. The platform never sells your data or uses it to train models. Enterprise plans include signed BAAs and audit logs.
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.
SourceLindy: Can we start with a free trial?
New team members joining through Slack receive a 7-day free trial before being billed. Direct signups are charged immediately. There is no permanent free tier after the trial.
SourceLindy: How many applications can Lindy integrate with?
Lindy connects to over 1,000 applications including Gmail, Notion, HubSpot, GitHub, Stripe, and others, with support for Model Context Protocol servers for custom integrations.
SourceRelated pages
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- Lindy vs MLflow
- Lindy vs Snowflake
- Lindy vs TensorFlow
- Lindy vs Comet ML
- Lindy vs Jupyter
- Lindy vs LangChain
- Lindy vs Pinecone
- Lindy vs Python
- Lindy vs PyTorch
- Lindy vs scikit-learn
- Lindy vs Apache Spark MLlib
- Lindy vs Weaviate
- Lindy vs Weights & Biases
- Lindy vs Alteryx
- Lindy vs Pika
- Lindy vs Anthropic API
- Lindy vs D-ID
- Lindy vs Fathom
- Lindy vs Together AI
- Lindy vs Stable Diffusion
- Lindy vs Arize AI
- Lindy vs ChatGPT
- Lindy vs Perplexity
- Lindy vs AutoGen
- Lindy vs Black Forest Labs
- Lindy vs Cartesia
- Lindy vs Deepgram
- Lindy vs Galileo
- Lindy vs Helicone
- Lindy vs Ideogram
- Lindy vs Jasper
- Lindy vs LangGraph

