Machine Learning · head to head
Azure Machine Learning vs DataGrip

Azure Machine Learning
Machine Learning
Enterprise-grade machine learning service
- From
- Free
- Rated
- -

DataGrip
Databases
Cross-platform database IDE from JetBrains for SQL and NoSQL databases
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services; DataGrip commercial use requires a paid subscription; the free tier is non-commercial only.
- They diverge on capability: Azure Machine Learning covers Automated ML, DataGrip covers Intelligent SQL Completion.
Where they differ
Only the attributes on which Azure Machine Learning and DataGrip actually diverge.
| Attribute | Azure Machine Learning | DataGrip |
|---|---|---|
| Pricing model | usage-based | subscription |
| Platforms | Azure Cloud | windows, mac, linux |
| Category | Machine Learning | Databases |
| Founded | 1975 | 2000 |
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 Azure Machine Learning
- Automated ML
- Designer (drag-and-drop)
- Notebooks
- MLOps
- Model registry
- Azure Blob Storage
- Azure DevOps
- Power BI
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.
Azure Machine Learning
- Machine learningnot DataGrip
- Data analysisnot DataGrip
- Model trainingnot DataGrip
- Predictive analyticsnot DataGrip
DataGrip
- Writing and running SQL queries across multiple database enginesnot Azure Machine Learning
- Browsing and editing schema and table data visuallynot Azure Machine Learning
- Version-controlling database migration scriptsnot Azure Machine Learning
- Standardizing database tooling across a JetBrains-based teamnot Azure Machine Learning
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Azure Machine Learning
- Requires knowledge of Azure ecosystem and integration with other Azure services
- Compute resources for training and inference generate separate charges
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
Azure Machine Learning
Free- Free TierFree
- Limited compute
- Basic features
- Pay-as-you-go$0.05/hour
- Full platform
- All compute options
- Enterprise features
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 Azure Machine Learning if
- You need automated ml.
- You want to start without paying.
- You work on Azure Cloud.
- You also want designer (drag-and-drop).
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.
Questions people ask
- Is Azure Machine Learning or DataGrip better?
- Neither clearly leads. Azure Machine Learning 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, Azure Machine Learning or DataGrip?
- Azure Machine Learning starts at Free and DataGrip at Free.
- Does Azure Machine Learning or DataGrip run on more platforms?
- Azure Machine Learning runs on Azure Cloud. DataGrip runs on windows, mac, linux.
- Can I use Azure Machine Learning for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Azure Machine Learning best used for?
- Azure Machine Learning 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 Azure Machine Learning do that DataGrip cannot?
- Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps. DataGrip covers Intelligent SQL Completion, Schema Navigation, Data Editor, Version Control for Scripts.
Answered from the vendors’ own pages
Azure Machine Learning: Does Azure Machine Learning have any platform licensing fees?
No, Azure Machine Learning carries no extra cost. You only pay for the underlying compute resources utilized during model training or inference.
SourceDataGrip: 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.
SourceAzure Machine Learning: What AutoML capabilities does Azure Machine Learning provide?
Azure Machine Learning supports automated model creation for classification, regression, vision, and natural language processing tasks.
SourceDataGrip: 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.
SourceAzure Machine Learning: Does Azure ML support language model fine-tuning?
Yes, Azure Machine Learning supports fine-tuning of foundation models from providers including OpenAI, Meta, Hugging Face, and Cohere.
SourceDataGrip: 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.
SourceAzure Machine Learning: What MLOps features are included?
Azure ML includes end-to-end pipeline automation with CI/CD capabilities, managed endpoints for model deployment, and monitoring tools.
SourceDataGrip: 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.
SourceAzure Machine Learning: Can I access foundation models from multiple vendors?
Yes, Azure Machine Learning provides access to a model catalog with foundation models from Microsoft, OpenAI, Hugging Face, Meta, and Cohere.
SourceDataGrip: 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.
SourceRelated pages
More on Azure Machine Learning
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- DataGrip vs Google Vertex AI
- DataGrip vs DataRobot
- DataGrip vs MLflow
- DataGrip vs Snowflake
- DataGrip vs TensorFlow
- DataGrip vs Comet ML
- DataGrip vs Jupyter
- DataGrip vs LangChain
- DataGrip vs Pinecone
- DataGrip vs Python
- DataGrip vs PyTorch
- DataGrip vs scikit-learn
- DataGrip vs Apache Spark MLlib
- DataGrip vs Weaviate
- DataGrip vs Weights & Biases
- DataGrip vs Alteryx
- DataGrip vs Anaconda
- DataGrip vs Cockroach Labs
- DataGrip vs PostgreSQL
- DataGrip vs Airtable
- DataGrip vs Amazon Aurora
- DataGrip vs Elasticsearch
- DataGrip vs Apache Kafka
- DataGrip vs PlanetScale
- DataGrip vs Meilisearch
- DataGrip vs Turso
- DataGrip vs Azure SQL
- DataGrip vs ClickHouse
- DataGrip vs Couchbase
- DataGrip vs DuckDB
- DataGrip vs MariaDB
- DataGrip vs Oracle Database
- DataGrip vs Firebolt
- DataGrip vs Google Cloud SQL
- DataGrip vs MotherDuck
