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Machine Learning · head to head

Dataiku vs Google Sheets

Dataiku logo

Dataiku

Machine Learning

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

From
Free
Rated
-
Full reviewWebsite
Google Sheets logo

Google Sheets

Spreadsheets

Cloud spreadsheet, free for a personal Google account and bundled into paid Google Workspace for organisations

From
Free
Rated
-
Full reviewWebsite

The short version

  • 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.; Google Sheets performance degrades noticeably on very large or formula-heavy spreadsheets compared with desktop Excel, particularly with complex array formulas.
  • They diverge on capability: Dataiku covers Visual Flow, Google Sheets covers Real-time collaboration.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Dataiku and Google Sheets actually diverge.

Attributes where Dataiku and Google Sheets differ
AttributeDataikuGoogle Sheets
Pricing modelfreemiumFree personally, bundled into paid Google Workspace for organisations
PlatformsLinux, Mac, Windows, WebWeb, iOS, Android
CategoryMachine LearningSpreadsheets
Founded2013Unknown

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

Only in Google Sheets

  • Real-time collaboration
  • Formulas and pivot tables
  • Apps Script automation
  • Excel compatibility
  • Offline mode
  • Connected Sheets

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 Google Sheets
  • Regulated model risk environments needing documented lineage, sign-off and a record of how a production model was producednot Google Sheets
  • Pushing heavy transformations down into a cloud warehouse while keeping the pipeline definition in one reviewable placenot Google Sheets
  • Large enterprises replacing a sprawl of spreadsheets and unmanaged scripts with something a governance function will acceptnot Google Sheets

Google Sheets

  • A freelancer or small team wanting real-time spreadsheet collaboration without installing softwarenot Dataiku
  • A school or nonprofit already using free or discounted Google Workspace for Educationnot Dataiku
  • A company standardising on Google Workspace for email and file storage that gets Sheets includednot Dataiku
  • A team building lightweight internal tools with Apps Script rather than a dedicated databasenot 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.

Google Sheets

  • Performance degrades noticeably on very large or formula-heavy spreadsheets compared with desktop Excel, particularly with complex array formulas.
  • Its charting and pivot table features are less capable than Excel for advanced statistical or financial analysis.
  • Offline editing requires the Chrome browser or a specific offline-enabled setup, so it is not as seamless as a native desktop application.
  • The free personal tier has no admin controls, audit logging or data loss prevention, so it is not appropriate for regulated business data on its own.
  • Apps Script has execution time limits and quota restrictions that make it unsuitable for heavier automation workloads a dedicated backend would handle better.

Pricing, plan by plan

Dataiku

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

Google Sheets

Free
  • Personal Google accountFree
    • Full Sheets functionality
    • 15GB shared Drive storage across Gmail, Drive and Photos
    • No admin controls
  • Google Workspace Business Starter$7/month
    • Sheets bundled with Gmail, Drive and Meet
    • Admin console and centralised management
    • 30GB pooled storage per user

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 Google Sheets if

  • You need real-time collaboration.
  • You want to start without paying.
  • You work on Web, iOS, Android.
  • You also want formulas and pivot tables.
Google Sheets review

Questions people ask

Is Dataiku or Google Sheets better?
Neither clearly leads. Dataiku starts at Free and Google Sheets at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or Google Sheets?
Dataiku starts at Free and Google Sheets at Free.
Does Dataiku or Google Sheets run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. Google Sheets runs on Web, iOS, Android.
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 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 Google Sheets is typically brought in for.
What can Dataiku do that Google Sheets cannot?
Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown. Google Sheets covers Real-time collaboration, Formulas and pivot tables, Apps Script automation, Excel compatibility.

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.

Google Sheets: Is Google Sheets really free?

Yes, for a personal Google account with full functionality, subject to the 15GB Drive storage limit shared across Google services.

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.

Google Sheets: Why would a business pay for something that is free?

Businesses pay for Google Workspace, which bundles Sheets with admin controls, larger storage, audit logs and support that a personal account lacks.

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.

Google Sheets: Does Google Sheets work with Excel files?

Yes, it opens, edits and exports Microsoft Excel format files directly.

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.

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.

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