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AI · head to head

Copilotly vs Amazon Redshift ML

Copilotly logo

Copilotly

AI

131 specialist AI copilots across 20 professional domains

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: Copilotly copilotly explicitly disclaims that its legal, medical, and financial copilots are not a substitute for licensed professional advice, which limits its use for anything requiring accountable expert sign-off.; 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: Copilotly covers 131 specialist copilots, 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 Copilotly and Amazon Redshift ML actually diverge.

Attributes where Copilotly and Amazon Redshift ML differ
AttributeCopilotlyAmazon Redshift ML
Pricing modelfreemiumusage-based
Platformsweb, ios, android, windows, macWeb
CategoryAIMachine Learning
FoundedUnknown2006

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 Copilotly

  • 131 specialist copilots
  • Browser extension
  • Multi-model routing
  • Document upload and analysis
  • Encrypted conversations
  • Desktop and mobile apps
  • Admin dashboard and usage analytics
  • SSO and SAML

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.

Copilotly

  • Getting a quick legal or contract question answered without booking a consultationnot Amazon Redshift ML
  • Drafting and reviewing professional documents with domain-specific guidancenot Amazon Redshift ML
  • Researching medical, financial, or HR questions with a specialist-tuned assistantnot Amazon Redshift ML
  • Working across many knowledge-work tasks under one subscription instead of separate toolsnot Amazon Redshift ML
  • Getting AI help directly inside the browser while reading any webpagenot 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 Copilotly
  • Letting an analytics team test whether a predictive column has any business value before asking for data science headcountnot Copilotly
  • Scoring rows inside a SQL pipeline where moving data out to a separate service would add fragility for little benefitnot Copilotly
  • Organisations committed to AWS whose main constraint is a data science backlog rather than modelling sophisticationnot Copilotly

Where each one falls short

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

Copilotly

  • Copilotly explicitly disclaims that its legal, medical, and financial copilots are not a substitute for licensed professional advice, which limits its use for anything requiring accountable expert sign-off.
  • The free plan caps usage at 3 copilots and 50 messages per day, pushing most real usage onto the paid Pro tier.
  • It relies on third-party foundation models (GPT-4o, Claude, Gemini, DeepSeek) rather than proprietary domain models, so answer quality is bounded by those underlying models.
  • There is no published documentation site or API, limiting integration options for developers or teams wanting to build on top of it.
  • Safari support is listed as 'coming soon' rather than available, so macOS/iOS Safari users are currently unsupported in-browser.

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

Copilotly

Free
  • FreeFree
    • Access to 3 copilots of your choice
    • 50 messages per day
    • Conversation history
  • Pro$29/month
    • Every copilot unlocked (131 across 20 domains)
    • Unlimited messages
    • Also billed $4.99/week or $290/year
  • Enterprise$undefined/month
    • Everything in Pro
    • Unlimited team members
    • Custom copilots on your own data

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 Copilotly if

  • You need 131 specialist copilots.
  • You want to start without paying.
  • You work on web, ios, android, windows, mac.
  • You also want browser extension.
Copilotly 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 Copilotly or Amazon Redshift ML better?
Neither clearly leads. Copilotly 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, Copilotly or Amazon Redshift ML?
Copilotly starts at Free and Amazon Redshift ML at Free.
Does Copilotly or Amazon Redshift ML run on more platforms?
Copilotly runs on web, ios, android, windows, mac. Amazon Redshift ML runs on Web.
Can I use Copilotly for free?
Both have a free tier, so you can try either at no cost before committing.
What is Copilotly best used for?
Copilotly is most often used for getting a quick legal or contract question answered without booking a consultation, drafting and reviewing professional documents with domain-specific guidance, researching medical, financial, or hr questions with a specialist-tuned assistant, working across many knowledge-work tasks under one subscription instead of separate tools. Of those, getting a quick legal or contract question answered without booking a consultation and drafting and reviewing professional documents with domain-specific guidance are not what Amazon Redshift ML is typically brought in for.
What can Copilotly do that Amazon Redshift ML cannot?
Copilotly covers 131 specialist copilots, Browser extension, Multi-model routing, Document upload and analysis. Amazon Redshift ML covers CREATE MODEL in SQL, Automatic model selection, Local inference, Bring your own model.

Answered from the vendors’ own pages

Copilotly: What do you get on the free plan?

Three copilots of your choosing, 50 messages a day, conversation history and the browser extension. No card and no time limit: the 50 messages are a daily cap that resets rather than a total.

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.

Copilotly: How much is Pro, and is annual cheaper?

Pro bills three ways: $4.99 a week, $29 a month, or $290 a year. The annual cycle works out at about $24.17 a month, so it is the cheapest of the three.

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.

Copilotly: Can I try it before paying, and can I get a refund?

Pro has a three-day free trial and a seven-day money-back guarantee. Subscriptions can be cancelled at any time with no cancellation fee.

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.

Copilotly: Which models does Copilotly run on?

It routes to third-party foundation models rather than its own: GPT-4o, Claude, Gemini and DeepSeek. Answer quality is therefore bounded by whichever of those handles a query.

Source
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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