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Machine Learning · head to head

Dataiku vs Tabnine

Dataiku logo

Dataiku

Machine Learning

Browser-based platform where visual data preparation and written code share one pipeline

From
Free
Rated
-
Full reviewWebsite
Tabnine logo

Tabnine

AI

AI coding agents built for enterprise privacy and control

From
$39/month
Rated
-
Full reviewWebsite

The short version

  • Only Dataiku has a free tier, so it costs nothing to try first.
  • Each has a real cost: Dataiku visual recipes are stored as Dataiku's own configuration and do not export as runnable SQL or Python, so a Flow with hundreds of visual steps has to be rebuilt from scratch if the organisation ever leaves, and that cost rises with every project added.; Tabnine no published free tier as of the current pricing page, unlike several competitors that offer free individual plans
  • They diverge on capability: Dataiku covers Visual Flow, Tabnine covers Code Completions.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dataiku and Tabnine actually diverge.

Attributes where Dataiku and Tabnine differ
AttributeDataikuTabnine
Starting priceFree$39/month
Pricing modelfreemiumsubscription
Free tierYesNo
PlatformsLinux, Mac, Windows, Webwindows, mac, linux, web
CategoryMachine LearningAI
Founded20132017

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 Dataiku

  • Visual Flow
  • Visual recipes
  • Code recipes and notebooks
  • Computation pushdown
  • Automated machine learning
  • Scenarios
  • Node topology
  • Governance features

Only in Tabnine

  • Code Completions
  • AI Chat
  • Agentic Workflows
  • Context Engine
  • Zero Code Retention
  • Flexible Deployment
  • Codebase Integrations

What people use each for

The jobs each tool is most often brought in to do.

Dataiku

  • Organisations where analysts and data scientists must collaborate on the same pipeline rather than exchanging extractsnot Tabnine
  • Regulated model risk environments needing documented lineage, sign-off and a record of how a production model was producednot Tabnine
  • Pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable placenot Tabnine
  • Large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will acceptnot Tabnine

Tabnine

  • Enterprise teams requiring on-premises or air-gapped AI coding toolsnot Dataiku
  • Organizations with strict IP and data privacy requirementsnot Dataiku
  • Teams wanting codebase-aware code completionsnot Dataiku
  • Regulated industries needing compliance-certified AI toolingnot Dataiku

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Dataiku

  • Visual recipes are stored as Dataiku's own configuration and do not export as runnable SQL or Python, so a Flow with hundreds of visual steps has to be rebuilt from scratch if the organisation ever leaves, and that cost rises with every project added.
  • Production requires separate automation and API nodes, each installed and licensed, so the figure quoted for building models is not the figure for running them.
  • Licensing is per user across tiers, and the lower tiers are constrained enough that occasional contributors frequently end up needing a full seat, which makes a wide rollout cost more than the initial estimate suggested.
  • A self-hosted installation needs a dedicated administrator for upgrades, connection management, permissions and node topology, so the licence is a fraction of the real cost of ownership.
  • Computation pushes down to the warehouse or Spark cluster where it is billed by that provider, so a platform sold on making analysts self-sufficient can generate a large warehouse bill that nobody attributes back to it.

Tabnine

  • No published free tier as of the current pricing page, unlike several competitors that offer free individual plans
  • Pricing is higher than many consumer-focused AI coding assistants, targeting enterprise budgets
  • Now owned by Tricentis, a testing-focused company, introducing uncertainty about long-term product direction outside quality engineering use cases
  • LLM usage costs apply separately when using Tabnine-provided model access, on top of the per-seat license fee

Pricing, plan by plan

Dataiku

Free
  • Free EditionFree
    • Single user
    • Core features
  • EnterpriseFree
    • Full platform
    • Collaboration
    • MLOps

Tabnine

$39/month
  • Code Assistant Platform$39/month
    • AI code completions
    • AI chat across the SDLC
    • Works with all major IDEs
  • Agentic Platform$59/month
    • Everything in Code Assistant Platform
    • Autonomous coding agents
    • Customizable coaching guidelines

Which should you pick?

Choose Dataiku if

  • You need visual flow.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want visual recipes.
Dataiku review

Choose Tabnine if

  • You need code completions.
  • You work on windows, mac, linux, web.
  • You also want ai chat.
Tabnine review

Questions people ask

Is Dataiku or Tabnine better?
Neither clearly leads. Dataiku starts at Free and Tabnine at $39/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or Tabnine?
Dataiku has a free tier; the other does not. Paid plans start at Free for Dataiku and $39/month for Tabnine.
Does Dataiku or Tabnine run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. Tabnine runs on windows, mac, linux, web.
Can I use Dataiku for free?
Yes. Dataiku has a free tier, so you can try it without paying. Tabnine starts at $39/month.
What is Dataiku best used for?
Dataiku is most often used for organisations where analysts and data scientists must collaborate on the same pipeline rather than exchanging extracts, regulated model risk environments needing documented lineage, sign-off and a record of how a production model was produced, pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable place, large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will accept. Of those, organisations where analysts and data scientists must collaborate on the same pipeline rather than exchanging extracts and regulated model risk environments needing documented lineage, sign-off and a record of how a production model was produced are not what Tabnine is typically brought in for.
What can Dataiku do that Tabnine cannot?
Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown. Tabnine covers Code Completions, AI Chat, Agentic Workflows, Context Engine.

Answered from the vendors’ own pages

Dataiku: Is there a free version?

There is a free edition with limits on users and features, adequate for evaluation and personal work. Anything a team runs in production is a negotiated commercial agreement.

Tabnine: What does Tabnine cost?

The Code Assistant Platform is $39/user/month and the Agentic Platform, which adds autonomous agents and the CLI, is $59/user/month, both billed as annual subscriptions.

Source
Dataiku: Do I have to write code to use it?

No. That is the premise. An analyst can build a complete pipeline through visual recipes, and a data scientist can write Python next to it in the same Flow.

Tabnine: Is there a free plan?

Tabnine's pricing page does not list a permanent free tier; both published plans are paid per-seat subscriptions aimed at professional and enterprise teams.

Source
Dataiku: Where does the computation actually run?

Wherever you connect it. Transformations are pushed down into the warehouse, database or Spark cluster where the data lives, which is efficient and also means the compute cost appears on that provider's bill rather than Dataiku's.

Tabnine: Does Tabnine charge extra for LLM usage?

Usage is unlimited when connecting your own on-prem or cloud LLM endpoint, but additional fees apply when using Tabnine-provided model access on top of the seat license.

Source
Dataiku: Can I export my work if we leave?

Code recipes are your code and leave with you. Visual recipes do not export as equivalent code, so the visual portion of a Flow has to be reimplemented, and that portion tends to be the majority in the projects where the platform succeeded best.

Tabnine: What deployment options does Tabnine support?

Tabnine can be deployed as SaaS, in a private VPC, fully on-premises, or in a completely air-gapped environment to meet enterprise data-control requirements.

Source
Dataiku: Self-hosted or cloud?

Both are offered. Self-hosting gives control over data residency and networking and requires an administrator; the managed cloud removes that work and moves the constraint to what the vendor's environment supports.

Tabnine: What is included in the Agentic Platform tier?

It adds autonomous coding agents with optional human oversight, the Tabnine CLI, the Context Engine, MCP integration, and unlimited codebase connections beyond the base Code Assistant plan.

Source
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