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AI · head to head

Adobe Firefly vs Dataiku

Adobe Firefly logo

Adobe Firefly

AI

Adobe's generative AI suite for images, video, audio and vector content

From
Free
Free plan
Yes
Dataiku logo

Dataiku

Machine Learning

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

From
Free
Free plan
Yes

The short version

  • Each has a real cost: Adobe Firefly video generation is limited to short five-second clips on lower tiers.; 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.
  • They diverge on capability: Adobe Firefly covers Text to Image, Dataiku covers Visual Flow.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Adobe Firefly and Dataiku actually diverge.

Attributes where Adobe Firefly and Dataiku differ
AttributeAdobe FireflyDataiku
Platformsweb, windows, mac, ios, androidLinux, Mac, Windows, Web
CategoryAIMachine Learning
Founded19822013

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 Adobe Firefly

  • Text to Image
  • Generate Video
  • Generative Fill
  • Text Effects and Vector Generation
  • Creative Cloud Integration
  • Content Credentials
  • Generative Fill for Video
  • Credit-based usage tracking

Only in Dataiku

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

What people use each for

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

Adobe Firefly

  • Generating stock-style images for marketingnot Dataiku
  • Extending or filling photos in Photoshopnot Dataiku
  • Producing short AI video clipsnot Dataiku
  • Creating vector art and text effectsnot Dataiku
  • Embedding AI generation into existing Creative Cloud workflowsnot Dataiku

Dataiku

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

Where each one falls short

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

Adobe Firefly

  • Video generation is limited to short five-second clips on lower tiers.
  • Full feature access requires a separate Creative Cloud app subscription for editing.
  • Credit system can be consumed quickly by video and higher-resolution generations.
  • Image quality and prompt adherence trail some standalone competitors like Midjourney.

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.

Pricing, plan by plan

Adobe Firefly

Free
  • FreeFree
    • Daily generative credits
    • Access to core image, video and audio generation
    • Standard-quality outputs
  • Standard$9.99/month
    • 2,000 credits per month
    • Priority generation
  • Pro$19.99/month
    • 4,000 credits per month
    • Up to 40 five-second videos
    • Adobe Express Premium and Photoshop web/mobile included
  • Premium$199.99/month
    • 50,000 credits per month
    • Unlimited access to the Firefly video model in Generate Video

Dataiku

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

Which should you pick?

Choose Adobe Firefly if

  • You need text to image.
  • You want to start without paying.
  • You work on web, windows, mac, ios, android.
  • You also want generate video.

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.

Questions people ask

Is Adobe Firefly or Dataiku better?
Neither clearly leads. Adobe Firefly 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, Adobe Firefly or Dataiku?
Adobe Firefly starts at Free and Dataiku at Free.
Does Adobe Firefly or Dataiku run on more platforms?
Adobe Firefly runs on web, windows, mac, ios, android. Dataiku runs on Linux, Mac, Windows, Web.
Can I use Adobe Firefly for free?
Both have a free tier, so you can try either at no cost before committing.
What is Adobe Firefly best used for?
Adobe Firefly is most often used for generating stock-style images for marketing, extending or filling photos in photoshop, producing short ai video clips, creating vector art and text effects. Of those, generating stock-style images for marketing and extending or filling photos in photoshop are not what Dataiku is typically brought in for.
What can Adobe Firefly do that Dataiku cannot?
Adobe Firefly covers Text to Image, Generate Video, Generative Fill, Text Effects and Vector Generation. Dataiku covers Visual Flow, Visual recipes, Code recipes and notebooks, Computation pushdown.

Answered from the vendors’ own pages

Adobe Firefly: Is Adobe Firefly free or is there a subscription cost?

The product page does not disclose pricing or subscription details. It describes Firefly as 'Your all-in-one AI creative studio' with 30+ AI models, but actual pricing information is not available on this page.

Source
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.

Adobe Firefly: Can I use Firefly for commercial projects?

The page does not specify whether commercial use is permitted or if there are different terms for commercial vs. personal use.

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.

Adobe Firefly: Are there usage limits on the free or trial version?

The page does not disclose trial duration, usage limits, or feature restrictions. You would need to visit additional pages on Adobe's website or contact their sales team for this information.

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.

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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