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Databases · head to head

Cockroach Labs vs Amazon Redshift ML

Cockroach Labs logo

Cockroach Labs

Databases

The cloud-native distributed SQL 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: Cockroach Labs basic and Standard tiers limited to AWS and GCP (select regions only); 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: Cockroach Labs covers Distributed SQL, 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 Cockroach Labs and Amazon Redshift ML actually diverge.

Attributes where Cockroach Labs and Amazon Redshift ML differ
AttributeCockroach LabsAmazon Redshift ML
Pricing modelfreemiumusage-based
PlatformsAWS, GCP, AzureWeb
CategoryDatabasesMachine Learning
Founded20152006

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 Cockroach Labs

  • Distributed SQL
  • Automatic Sharding
  • Multi-region Replication
  • Geo-partitioning
  • ACID Transactions
  • Horizontal Scaling
  • Survivability
  • PostgreSQL Compatibility

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.

Cockroach Labs

  • Distributed SQL database for scalable applicationsnot Amazon Redshift ML
  • Multi-region deployment and failovernot 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 Cockroach Labs
  • Letting an analytics team test whether a predictive column has any business value before asking for data science headcountnot Cockroach Labs
  • Scoring rows inside a SQL pipeline where moving data out to a separate service would add fragility for little benefitnot Cockroach Labs
  • Organisations committed to AWS whose main constraint is a data science backlog rather than modelling sophisticationnot Cockroach Labs

Where each one falls short

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

Cockroach Labs

  • Basic and Standard tiers limited to AWS and GCP (select regions only)
  • Azure support restricted to Advanced tier only
  • Basic tier limited to 50 million RUs and 10 GiB storage per month
  • Advanced tier starts at $0.60/hour for 4 vCPUs minimum
  • 3 TiB maximum storage on Basic and Standard tiers, 10 TiB per node on Advanced

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

Cockroach Labs

Free

No published plan breakdown. See the Cockroach Labs review.

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 Cockroach Labs if

  • You need distributed sql.
  • You want to start without paying.
  • You work on AWS, GCP, Azure.
  • You also want automatic sharding.
Cockroach Labs 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 Cockroach Labs or Amazon Redshift ML better?
Neither clearly leads. Cockroach Labs 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, Cockroach Labs or Amazon Redshift ML?
Cockroach Labs starts at Free and Amazon Redshift ML at Free.
Does Cockroach Labs or Amazon Redshift ML run on more platforms?
Cockroach Labs runs on AWS, GCP, Azure. Amazon Redshift ML runs on Web.
Can I use Cockroach Labs for free?
Both have a free tier, so you can try either at no cost before committing.
What is Cockroach Labs best used for?
Cockroach Labs is most often used for distributed sql database for scalable applications, multi-region deployment and failover. Of those, distributed sql database for scalable applications and multi-region deployment and failover are not what Amazon Redshift ML is typically brought in for.
What can Cockroach Labs do that Amazon Redshift ML cannot?
Cockroach Labs covers Distributed SQL, Automatic Sharding, Multi-region Replication, Geo-partitioning. Amazon Redshift ML covers CREATE MODEL in SQL, Automatic model selection, Local inference, Bring your own model.

Answered from the vendors’ own pages

Cockroach Labs: What does the free Basic tier include?

The Basic tier is free and includes 50 million RUs and 10 GiB storage per month, with a maximum compute of 30K RU/sec. No credit card is required to start.

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.

Cockroach Labs: How much do the paid tiers cost?

Standard tier starts at $0.18 per hour for 2 vCPUs, and Advanced tier starts at $0.60 per hour for 4 vCPUs. Both tiers support additional resources with higher costs for increased compute and storage.

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.

Cockroach Labs: What are the storage limits for each tier?

Basic plan supports up to 3 TiB storage, Standard tier up to 3 TiB, and Advanced tier up to 10 TiB per node with unlimited total storage.

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.

Cockroach Labs: Can I get trial credits before paying?

Yes, new users can try CockroachDB free with $400 in credits. The Basic and Standard plans do not require a credit card to start.

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.

Cockroach Labs: Do legacy contracts have different pricing?

Customers with annual or multi-year contracts entered before December 1, 2024 can view legacy pricing terms on a separate page, which apply until their contract renewal date.

Source
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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