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Machine Learning & Data Science · head to head

Amazon Redshift ML vs Cohere

Amazon Redshift ML logo

Amazon Redshift ML

Machine Learning & Data Science

Create machine learning models using SQL

From
Free
Rated
-
Full reviewWebsite
Cohere logo

Cohere

Machine Learning & Data Science

Enterprise AI platform for NLP

From
Free
Rated
-
Full reviewWebsite

The short version

  • 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; Cohere aPI-only service with no self-hosted options for most users
  • They diverge on capability: Amazon Redshift ML covers SQL-based ML, Cohere covers Generate.

Where they differ

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

Attributes where Amazon Redshift ML and Cohere differ
AttributeAmazon Redshift MLCohere
PlatformsWebApi, Cloud
Founded20062019

Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), 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 Cohere

  • Generate
  • Embed
  • Rerank
  • Classify
  • REST API
  • SDKs
  • Cloud deployment
  • Api support

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 Cohere

Cohere

  • ai tools managementnot Amazon Redshift ML
  • Workflow automationnot Amazon Redshift ML
  • Reportingnot 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

Cohere

  • API-only service with no self-hosted options for most users
  • Trial tier severely limited at 1,000 calls per month
  • Smaller context window compared to some competing APIs
  • Less emphasis on safety and alignment compared to competing APIs

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

Cohere

Free
  • Free TrialFree
    • Rate limited
    • Evaluation
  • Production$0.4/per-million-tokens
    • Full access
    • SLA

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 Cohere if

  • You need generate.
  • You want to start without paying.
  • You work on Api, Cloud.
  • You also want embed.
Cohere review

Questions people ask

Is Amazon Redshift ML or Cohere better?
Neither clearly leads. Amazon Redshift ML starts at Free and Cohere at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amazon Redshift ML or Cohere?
Amazon Redshift ML starts at Free and Cohere at Free.
Does Amazon Redshift ML or Cohere run on more platforms?
Amazon Redshift ML runs on Web. Cohere runs on Api, Cloud.
Can I use Amazon Redshift ML for free?
Both have a free tier, so you can try either at no cost before committing.
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 Cohere is typically brought in for.
What can Amazon Redshift ML do that Cohere cannot?
Amazon Redshift ML covers SQL-based ML, AutoML, SageMaker integration, BYOM support. Cohere covers Generate, Embed, Rerank, Classify.

Answered from the vendors’ own pages

Cohere: Does Cohere offer a free tier?

Yes. Cohere provides Trial API keys that allow 1,000 free API calls per month across all models and endpoints. Trial keys are rate-limited to 20 requests per minute for Chat endpoints and 5-10 requests per minute for other endpoints, and cannot be used for production or commercial purposes.

Source
Cohere: What is the cost structure for production use?

Cohere uses pay-as-you-go pricing based on tokens consumed. Costs vary by model: Command costs from 0.15 to 2.50 USD per 1M input tokens, with output tokens priced higher. Embed models cost 0.10 USD per 1M input tokens. Production keys have monthly billing with invoices at month-end or when charges reach 250 USD.

Source
Cohere: Can I self-host Cohere models?

No. Cohere operates as an API-only platform. However, enterprise customers can arrange dedicated or managed deployments through the Model Vault platform starting at 4.00 USD per hour with custom pricing for dedicated instances.

Source
Cohere: What are the main differences between Cohere and Claude API?

Cohere excels in cost-effective NLP applications and retrieval-augmented generation (RAG) capabilities. Claude API emphasizes reasoning and safety with Constitutional AI training. Cohere's Command R+ offers similar performance to GPT-4 at 40-50 percent lower cost, while Claude focuses on factual accuracy and transparency.

Source
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