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Machine Learning & Data Science · head to head

BentoML vs Amazon Redshift ML

BentoML logo

BentoML

Machine Learning & Data Science

Build production-ready ML applications

From
Free
Rated
-
Full reviewWebsite
Amazon Redshift ML logo

Amazon Redshift ML

Machine Learning & Data Science

Create machine learning models using SQL

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: BentoML core BentoML framework is Apache 2.0 and free, but the managed BentoCloud enterprise tier has no published pricing: the README instructs buyers to sign up for personal access or contact sales for enterprise use, with no rate card shown.; 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
  • They diverge on capability: BentoML covers Model packaging, Amazon Redshift ML covers SQL-based ML.

Where they differ

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

Attributes where BentoML and Amazon Redshift ML differ
AttributeBentoMLAmazon Redshift ML
Pricing modelfreemiumusage-based
PlatformsLinux, Mac, WindowsWeb
CategoryUnknownMachine Learning & Data Science
Founded20192006

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 BentoML

  • Model packaging
  • REST API generation
  • Adaptive batching
  • Multi-framework support
  • Container deployment
  • PyTorch
  • TensorFlow
  • scikit-learn

Only in Amazon Redshift ML

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

What people use each for

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

BentoML

  • Machine learningnot Amazon Redshift ML
  • Data analysisnot Amazon Redshift ML
  • Model trainingnot Amazon Redshift ML
  • Predictive analyticsnot Amazon Redshift ML

Amazon Redshift ML

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

Where each one falls short

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

BentoML

  • Core BentoML framework is Apache 2.0 and free, but the managed BentoCloud enterprise tier has no published pricing: the README instructs buyers to sign up for personal access or contact sales for enterprise use, with no rate card shown.

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

Pricing, plan by plan

BentoML

Free
  • Open SourceFree
    • Model packaging
    • API creation
    • Local serving
  • BentoCloudFree
    • Managed deployment
    • Auto-scaling
    • Monitoring

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 BentoML if

  • You need model packaging.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want rest api generation.
BentoML review

Choose Amazon Redshift ML if

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

Questions people ask

Is BentoML or Amazon Redshift ML better?
Neither clearly leads. BentoML 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, BentoML or Amazon Redshift ML?
BentoML starts at Free and Amazon Redshift ML at Free.
Does BentoML or Amazon Redshift ML run on more platforms?
BentoML runs on Linux, Mac, Windows. Amazon Redshift ML runs on Web.
Can I use BentoML for free?
Both have a free tier, so you can try either at no cost before committing.
What is BentoML best used for?
BentoML is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Amazon Redshift ML is typically brought in for.
What can BentoML do that Amazon Redshift ML cannot?
BentoML covers Model packaging, REST API generation, Adaptive batching, Multi-framework support. Amazon Redshift ML covers SQL-based ML, AutoML, SageMaker integration, BYOM support.
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