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Machine Learning & Data Science · head to head

Amazon Redshift ML vs Groq

Amazon Redshift ML logo

Amazon Redshift ML

Machine Learning & Data Science

Create machine learning models using SQL

From
Free
Rated
-
Full reviewWebsite
Groq logo

Groq

Machine Learning & Data Science

Fast inference provider using proprietary LPU hardware for low-latency serving

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Amazon Redshift ML has a free tier, so it costs nothing to try first.
  • Each has a real cost: Amazon Redshift ML free tier covers only two CREATE MODEL requests per month for two months, capped at 100,000 cells per request; beyond that training is metered at $20 per million cells for the first 10 million, dropping in tiers to $7 per million cells over 100 million; Groq pricing is not published and is sold entirely by quote, making cost comparison difficult

Where they differ

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

Attributes where Amazon Redshift ML and Groq differ
AttributeAmazon Redshift MLGroq
Starting priceFreeOn request
Pricing modelusage-basedquote
Free tierYesNo
PlatformsWebAPI, Cloud
Founded2006Unknown

Identical on both: user rating (Not yet rated), category (Machine Learning & Data Science).

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 Amazon Redshift ML

  • SQL-based ML
  • AutoML
  • SageMaker integration
  • BYOM support
  • In-database predictions
  • Amazon Redshift
  • SageMaker
  • S3

Only in Groq

Nothing recorded that Amazon Redshift ML does not also cover.

What people use each for

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

Amazon Redshift ML

  • Training and running machine learning models directly from SQL inside Amazon Redshiftnot Groq

Groq

  • Latency-sensitive applications requiring sub-second inference response timesnot Amazon Redshift ML
  • High-volume inference workloads where cost per inference matters at scalenot Amazon Redshift ML
  • Custom model deployment with performance guaranteesnot Amazon Redshift ML
  • Enterprise applications seeking inference-specific infrastructurenot Amazon Redshift ML

Where each one falls short

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

Amazon Redshift ML

  • Free tier covers only two CREATE MODEL requests per month for two months, capped at 100,000 cells per request; beyond that training is metered at $20 per million cells for the first 10 million, dropping in tiers to $7 per million cells over 100 million

Groq

  • Pricing is not published and is sold entirely by quote, making cost comparison difficult
  • Limited to open-weight models; no proprietary model access through the platform
  • Not widely integrated into third-party AI platforms compared to OpenAI or Anthropic

Pricing, plan by plan

Amazon Redshift ML

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

Groq

On request

No published plan breakdown. See the Groq review.

Which should you pick?

Choose Amazon Redshift ML if

  • You need sql-based ml.
  • You want to start without paying.
  • You also want automl.
Amazon Redshift ML review

Choose Groq if

  • You work on API, Cloud.
Groq review

Questions people ask

Is Amazon Redshift ML or Groq better?
Neither clearly leads. Amazon Redshift ML starts at Free and Groq at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon Redshift ML or Groq?
Amazon Redshift ML has a free tier; the other does not. Paid plans start at Free for Amazon Redshift ML and On request for Groq.
Does Amazon Redshift ML or Groq run on more platforms?
Amazon Redshift ML runs on Web. Groq runs on API, Cloud.
Can I use Amazon Redshift ML for free?
Yes. Amazon Redshift ML has a free tier, so you can try it without paying. Groq starts at On request.
What is Amazon Redshift ML best used for?
Amazon Redshift ML is most often used for training and running machine learning models directly from sql inside amazon redshift. Of those, training and running machine learning models directly from sql inside amazon redshift is not what Groq is typically brought in for.
What can Amazon Redshift ML do that Groq cannot?
Amazon Redshift ML covers SQL-based ML, AutoML, SageMaker integration, BYOM support.
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