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AI · head to head

Adobe Firefly vs Amazon Redshift ML

Adobe Firefly logo

Adobe Firefly

AI

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

From
Free
Free plan
Yes
Full reviewWebsite
Amazon Redshift ML logo

Amazon Redshift ML

Machine Learning

SQL statements in Redshift that train models on SageMaker and return them as functions

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: Adobe Firefly video generation is limited to short five-second clips on lower tiers.; Amazon Redshift ML training is billed by SageMaker separately from Redshift, so a feature that looks like a free SQL statement produces a second line item on a different part of the bill that the analyst who ran it usually cannot see.
  • They diverge on capability: Adobe Firefly covers Text to Image, Amazon Redshift ML covers CREATE MODEL in SQL.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Adobe Firefly and Amazon Redshift ML actually diverge.

Attributes where Adobe Firefly and Amazon Redshift ML differ
AttributeAdobe FireflyAmazon Redshift ML
Pricing modelfreemiumusage-based
Platformsweb, windows, mac, ios, androidWeb
CategoryAIMachine Learning
Founded19822006

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 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 Amazon Redshift ML

  • CREATE MODEL in SQL
  • Automatic model selection
  • Local inference
  • Bring your own model
  • Algorithm selection
  • Cost ceiling controls
  • Existing warehouse security
  • Batch and interactive scoring

What people use each for

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

Adobe Firefly

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

Amazon Redshift ML

  • Adding a churn or propensity score to an existing dashboard where the data is already in Redshift and nobody needs a bespoke modelnot Adobe Firefly
  • Letting an analytics team test whether a predictive column has any business value before asking for data science headcountnot Adobe Firefly
  • Scoring rows inside a SQL pipeline where moving data out to a separate service would add fragility for little benefitnot Adobe Firefly
  • Organisations committed to AWS whose main constraint is a data science backlog rather than modelling sophisticationnot 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.

Amazon Redshift ML

  • Training is billed by SageMaker separately from Redshift, so a feature that looks like a free SQL statement produces a second line item on a different part of the bill that the analyst who ran it usually cannot see.
  • Autopilot searches many candidate models by default and the duration and cost of CREATE MODEL scale with the data size and the MAX_CELLS setting, so an unconstrained statement against a large table is an expensive accident rather than an experiment.
  • Local inference runs on the Redshift cluster itself, so scoring millions of rows competes for the resources the warehouse exists to provide, and the remote inference alternative adds a per-batch network call plus an hourly SageMaker endpoint charge that persists whether or not anyone queries it.
  • The supported problem types are limited to what the exposed algorithms cover, so anything involving text, images, sequences, a custom loss function or a bespoke evaluation metric is out of scope and has to be built conventionally.
  • There is no retraining schedule, drift detection or model registry, so a model created by a statement stays exactly as trained until somebody remembers to recreate it, and nothing in the warehouse will report that its accuracy has decayed.

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

Amazon Redshift ML

Free
  • Free TrialFree
    • 2-month trial
    • 750 DC2.Large hours
  • On-Demand$0.25/hour
    • Per-node pricing
    • SageMaker training

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.
Adobe Firefly review

Choose Amazon Redshift ML if

  • You need create model in sql.
  • You want to start without paying.
  • You also want automatic model selection.
Amazon Redshift ML review

Questions people ask

Is Adobe Firefly or Amazon Redshift ML better?
Neither clearly leads. Adobe Firefly starts at Free and Amazon Redshift ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Adobe Firefly or Amazon Redshift ML?
Adobe Firefly starts at Free and Amazon Redshift ML at Free.
Does Adobe Firefly or Amazon Redshift ML run on more platforms?
Adobe Firefly runs on web, windows, mac, ios, android. Amazon Redshift ML runs on 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 Amazon Redshift ML is typically brought in for.
What can Adobe Firefly do that Amazon Redshift ML cannot?
Adobe Firefly covers Text to Image, Generate Video, Generative Fill, Text Effects and Vector Generation. Amazon Redshift ML covers CREATE MODEL in SQL, Automatic model selection, Local inference, Bring your own model.

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
Amazon Redshift ML: Does it require SageMaker?

Yes. Redshift ML is an interface; the training happens in SageMaker and needs an IAM role and an S3 bucket for the intermediate data.

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
Amazon Redshift ML: Is there an extra charge?

The SQL interface is part of Redshift, but the training runs as a SageMaker job charged at SageMaker rates, and a remote inference endpoint is billed for as long as it exists.

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
Amazon Redshift ML: What kinds of model can it build?

Regression, binary and multiclass classification through the automatic path, plus direct use of XGBoost, linear learner, multilayer perceptron and K-means. Anything beyond structured tabular prediction is out of scope.

Amazon Redshift ML: Can I use a model I trained myself?

Yes, through the bring-your-own-model path, either compiled into the cluster for local inference or called as a remote SageMaker endpoint.

Amazon Redshift ML: Does it retrain automatically?

No. Retraining means running CREATE MODEL again, on a schedule you build yourself, and nothing in the product monitors whether it is needed.

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