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Machine Learning & Data Science · head to head

AWS SageMaker vs NocoDB

AWS SageMaker logo

AWS SageMaker

Machine Learning & Data Science

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
NocoDB logo

NocoDB

Spreadsheet & Data

Open-source no-code database platform with REST and GraphQL APIs

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; NocoDB the free cloud tier is capped at 3 editor seats, 1,000 records and 1 GB of storage
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, NocoDB covers REST API.

Where they differ

Only the attributes on which AWS SageMaker and NocoDB actually diverge.

Attributes where AWS SageMaker and NocoDB differ
AttributeAWS SageMakerNocoDB
Pricing modelUnknownopen-source
PlatformsWebCloud, Self-hosted, Docker
CategoryMachine Learning & Data ScienceSpreadsheet & Data
Founded20062020

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 AWS SageMaker

  • Jupyter notebooks
  • Built-in algorithms
  • Automatic model tuning
  • One-click deployment
  • Model monitoring
  • S3
  • Lambda
  • Step Functions

Only in NocoDB

  • REST API
  • GraphQL API
  • No-code database
  • Multiple SQL databases
  • Webhooks
  • Automation
  • Cloud support
  • Self-hosted support

What people use each for

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

AWS SageMaker

  • Machine learningnot NocoDB
  • Data analysisnot NocoDB
  • Model trainingnot NocoDB
  • Predictive analyticsnot NocoDB

NocoDB

  • Self-hosting an open source alternative to a spreadsheet databasenot AWS SageMaker
  • Putting a spreadsheet interface over an existing Postgres or MySQL databasenot AWS SageMaker
  • Building internal tools on structured data with an APInot AWS SageMaker
  • Team bases with per-field and per-table permissions on the paid tiersnot AWS SageMaker

Where each one falls short

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

AWS SageMaker

  • Vendor lock-in to AWS ecosystem makes migration to other platforms difficult
  • Opaque pricing can lead to unexpected expenses like forgotten EBS volume charges
  • Does not include native job scheduling, requiring Lambda or EventBridge integration

NocoDB

  • The free cloud tier is capped at 3 editor seats, 1,000 records and 1 GB of storage
  • Records are the metering unit on cloud, so Plus covers 50K and Business 300K rather than scaling by seat alone
  • Row-level security, audit log retention and team hierarchy require the Scale tier
  • SCIM provisioning and air-gapped deployment are Enterprise only
  • The self-hosted Community edition is unlimited on records and seats but does without workflows, scripts and dashboards, which start at the paid self-hosted tiers

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

NocoDB

Free
  • CommunityFree
    • Self-hosted NocoDB
    • Community support
  • Starter$5/monthly
    • Cloud hosting
    • Basic features

Which should you pick?

Choose AWS SageMaker if

  • You need jupyter notebooks.
  • You want to start without paying.
  • You also want built-in algorithms.
AWS SageMaker review

Choose NocoDB if

  • You need rest api.
  • You want to start without paying.
  • You work on Cloud, Self-hosted, Docker.
  • You also want graphql api.
NocoDB review

Questions people ask

Is AWS SageMaker or NocoDB better?
Neither clearly leads. AWS SageMaker starts at Free and NocoDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or NocoDB?
AWS SageMaker starts at Free and NocoDB at Free.
Does AWS SageMaker or NocoDB run on more platforms?
AWS SageMaker runs on Web. NocoDB runs on Cloud, Self-hosted, Docker.
Can I use AWS SageMaker for free?
Both have a free tier, so you can try either at no cost before committing.
What is AWS SageMaker best used for?
AWS SageMaker is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what NocoDB is typically brought in for.
What can AWS SageMaker do that NocoDB cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. NocoDB covers REST API, GraphQL API, No-code database, Multiple SQL databases.

Answered from the vendors’ own pages

AWS SageMaker: What is AWS SageMaker used for?

AWS SageMaker is a machine learning service for building, training, and deploying ML models at scale. It provides tools for data preparation, model training, inference endpoints, and performance optimization.

Source
AWS SageMaker: How is AWS SageMaker priced?

SageMaker uses pay-as-you-go pricing with no upfront costs or long-term commitments. Pricing starts at $0.04 per hour for basic notebook instances and scales based on instance type. ML Savings Plans offer up to 64% off with hourly spend commitments.

Source
AWS SageMaker: Does AWS SageMaker have a free tier?

Yes, the free tier includes 250 hours of notebook usage, 50 hours of training, and 125 hours of hosting on ml.t3.medium instances during the first two months.

Source
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