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MySQL vs Amazon Redshift ML

MySQL logo

MySQL

Web Development

The world's most popular open source database

From
Free
Rated
-
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
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: MySQL hot online backup is not in the free Community Server; MySQL Enterprise Backup is a paid Enterprise Edition component; 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: MySQL covers ACID compliance, 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 MySQL and Amazon Redshift ML actually diverge.

Attributes where MySQL and Amazon Redshift ML differ
AttributeMySQLAmazon Redshift ML
Pricing modelfreemiumusage-based
PlatformsWindows, Macos, Linux, UnixWeb
CategoryWeb DevelopmentMachine Learning
Founded19952006

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 MySQL

  • ACID compliance
  • SQL support
  • Multi-version concurrency control
  • Replication
  • Partitioning
  • Stored procedures
  • Triggers
  • Views

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.

MySQL

  • Web application backendnot Amazon Redshift ML
  • E-commerce platformsnot Amazon Redshift ML
  • Content management systemsnot Amazon Redshift ML
  • Data warehousingnot Amazon Redshift ML
  • Business applicationsnot 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 MySQL
  • Letting an analytics team test whether a predictive column has any business value before asking for data science headcountnot MySQL
  • Scoring rows inside a SQL pipeline where moving data out to a separate service would add fragility for little benefitnot MySQL
  • Organisations committed to AWS whose main constraint is a data science backlog rather than modelling sophisticationnot MySQL

Where each one falls short

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

MySQL

  • Hot online backup is not in the free Community Server; MySQL Enterprise Backup is a paid Enterprise Edition component
  • Transparent Data Encryption, data masking and de-identification are Enterprise Edition only
  • MySQL Enterprise Firewall, which guards against SQL injection, and MySQL Enterprise Audit are both paid components
  • External authentication against PAM or Windows Active Directory requires MySQL Enterprise Authentication
  • The thread pool ships as MySQL Enterprise Scalability rather than in the community build

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

MySQL

Free
  • Community EditionFree
    • Open source license
    • Full SQL support
    • InnoDB storage engine
  • Standard Edition$2000/year
    • Commercial license
    • Oracle Premier Support
    • MySQL Enterprise backup
  • Enterprise Edition$5000/year
    • Advanced security
    • MySQL Enterprise Monitor
    • High Availability

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 MySQL if

  • You need acid compliance.
  • You want to start without paying.
  • You work on Windows, Macos, Linux, Unix.
  • You also want sql support.
MySQL 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 MySQL or Amazon Redshift ML better?
Neither clearly leads. MySQL 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, MySQL or Amazon Redshift ML?
MySQL starts at Free and Amazon Redshift ML at Free.
Does MySQL or Amazon Redshift ML run on more platforms?
MySQL runs on Windows, Macos, Linux, Unix. Amazon Redshift ML runs on Web.
Can I use MySQL for free?
Both have a free tier, so you can try either at no cost before committing.
What is MySQL best used for?
MySQL is most often used for web application backend, e-commerce platforms, content management systems, data warehousing. Of those, web application backend and e-commerce platforms are not what Amazon Redshift ML is typically brought in for.
What can MySQL do that Amazon Redshift ML cannot?
MySQL covers ACID compliance, SQL support, Multi-version concurrency control, Replication. Amazon Redshift ML covers CREATE MODEL in SQL, Automatic model selection, Local inference, Bring your own model.

Answered from the vendors’ own pages

MySQL: Does MySQL cost money?

MySQL is primarily open-source and free to use. Commercial editions and support services are available but pricing is not published on the main website.

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.

MySQL: How do I get MySQL pricing information?

For MySQL commercial editions and support pricing, customers can contact MySQL sales directly at +1-866-221-0634 or navigate to individual product pages.

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.

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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