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Machine Learning · head to head

Dataiku vs Dropbox

Dataiku logo

Dataiku

Machine Learning

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

From
Free
Rated
-
Full reviewWebsite
Dropbox logo

Dropbox

Technology

Cloud storage and file synchronization service

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.; Dropbox the free Basic plan gives 2 GB of storage
  • They diverge on capability: Dataiku covers Visual Flow, Dropbox covers File synchronization.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Dataiku and Dropbox actually diverge.

Attributes where Dataiku and Dropbox differ
AttributeDataikuDropbox
PlatformsLinux, Mac, Windows, WebWindows, Macos, Linux, Ios, Android, Web
CategoryMachine LearningTechnology
Founded20132007

Identical on both: starting price (Free), pricing model (freemium), 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 Dropbox

  • File synchronization
  • Cloud storage
  • File sharing
  • Version history
  • Offline access
  • Microsoft Office
  • Google Workspace
  • Slack

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

Dropbox

  • File backupnot Dataiku
  • Team collaborationnot Dataiku
  • Content sharingnot Dataiku
  • Remote worknot 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.

Dropbox

  • The free Basic plan gives 2 GB of storage
  • Version history is 30 days on Plus, 180 days on Standard and 1 year on Advanced
  • File transfers are capped at 50 GB on Plus and 100 GB on the team plans
  • The Advanced team plan requires a minimum of 3 users at $24 per user per month
  • eSignature requests are limited to 3 per month on Plus and Standard

Pricing, plan by plan

Dataiku

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

Dropbox

Free
  • BasicFree
    • 2GB storage
    • File sharing and storage
  • Plus$9.99/month
    • 2TB storage
    • File transfer up to 50GB
    • PDF editing
  • Standard$15/month
    • 3TB for team
    • 180-day file recovery
    • 100GB transfers
  • Advanced$24/month
    • 15TB for team
    • 1-year file recovery
    • End-to-end encryption

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 Dropbox if

  • You need file synchronization.
  • You want to start without paying.
  • You work on Windows, Macos, Linux, Ios, Android, Web.
  • You also want cloud storage.
Dropbox review

Questions people ask

Is Dataiku or Dropbox better?
Neither clearly leads. Dataiku starts at Free and Dropbox at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dataiku or Dropbox?
Dataiku starts at Free and Dropbox at Free.
Does Dataiku or Dropbox run on more platforms?
Dataiku runs on Linux, Mac, Windows, Web. Dropbox runs on Windows, Macos, Linux, Ios, Android, Web.
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 Dropbox is typically brought in for.
What can Dataiku do that Dropbox cannot?
Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown. Dropbox covers File synchronization, Cloud storage, File sharing, Version history.

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.

Dropbox: How much does Dropbox cost?

Dropbox offers a free 2GB plan. Plus is $9.99/month (2TB), Standard is $15/user/month (3TB team), and Advanced is $24/user/month (15TB team).

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.

Dropbox: Is Dropbox free?

Yes, Dropbox Basic is free with 2GB of storage for personal use and file sharing.

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.

Dropbox: What is the difference between Dropbox Plus, Standard, and Advanced?

Plus at $9.99/month offers 2TB personal storage. Standard at $15/user/month offers 3TB for teams with 180-day recovery. Advanced at $24/user/month offers 15TB with 1-year recovery and single sign-on.

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.

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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