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Machine Learning · head to head

AWS SageMaker vs DataGrip

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
DataGrip logo

DataGrip

Databases

Cross-platform database IDE from JetBrains for SQL and NoSQL databases

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; DataGrip commercial use requires a paid subscription; the free tier is non-commercial only.
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, DataGrip covers Intelligent SQL Completion.

Where they differ

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

Attributes where AWS SageMaker and DataGrip differ
AttributeAWS SageMakerDataGrip
Pricing modelUnknownsubscription
PlatformsWebwindows, mac, linux
CategoryMachine LearningDatabases
Founded20062000

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 DataGrip

  • Intelligent SQL Completion
  • Schema Navigation
  • Data Editor
  • Version Control for Scripts
  • Multi-database Support

What people use each for

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

AWS SageMaker

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

DataGrip

  • Writing and running SQL queries across multiple database enginesnot AWS SageMaker
  • Browsing and editing schema and table data visuallynot AWS SageMaker
  • Version-controlling database migration scriptsnot AWS SageMaker
  • Standardizing database tooling across a JetBrains-based teamnot 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

DataGrip

  • Commercial use requires a paid subscription; the free tier is non-commercial only.
  • No built-in database administration features like backup scheduling found in dedicated DBA tools.
  • Heavier resource footprint than lightweight single-purpose SQL clients.
  • NoSQL support (e.g. MongoDB) is less mature than its relational database tooling.

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

DataGrip

Free
  • Free (non-commercial)Free
    • Personal, non-commercial use only
  • Individual - Year 1$99/year
    • Full DataGrip license
    • Free updates during subscription
  • Individual - Year 2+$79/year
    • Continuity discount from second year onward

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 DataGrip if

  • You need intelligent sql completion.
  • You want to start without paying.
  • You work on windows, mac, linux.
  • You also want schema navigation.
DataGrip review

Questions people ask

Is AWS SageMaker or DataGrip better?
Neither clearly leads. AWS SageMaker starts at Free and DataGrip at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or DataGrip?
AWS SageMaker starts at Free and DataGrip at Free.
Does AWS SageMaker or DataGrip run on more platforms?
AWS SageMaker runs on Web. DataGrip runs on windows, mac, linux.
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 DataGrip is typically brought in for.
What can AWS SageMaker do that DataGrip cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. DataGrip covers Intelligent SQL Completion, Schema Navigation, Data Editor, Version Control for Scripts.

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
DataGrip: Is DataGrip free for personal use?

JetBrains introduced a free non-commercial license for DataGrip in October 2025, allowing personal use, while commercial use still requires a paid annual or monthly subscription.

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
DataGrip: Who qualifies for the free non-commercial license?

Only individuals are eligible, for uses like learning, open-source work, or content creation. Anyone paid by an employer, including at a non-profit, must use a commercial license instead.

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
DataGrip: How long does the free non-commercial license last?

It lasts one year and auto-renews if DataGrip was used at least once in the final six months; otherwise you can simply reapply for a new license.

Source
DataGrip: Does the free license have fewer features than the paid version?

No, it is a full-featured IDE identical to the paid version, though it requires anonymized telemetry sharing that cannot be opted out of under the non-commercial agreement.

Source
DataGrip: Can I use DataGrip offline with the free license?

No, activation requires logging into a JetBrains Account; offline activation codes are not available for the free non-commercial license.

Source
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