Machine Learning & Data Science · head to head
Azure Machine Learning vs Baserow
Azure Machine Learning
Machine Learning & Data Science
Enterprise-grade machine learning service
- 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; Baserow the free tier is capped at 3,000 rows and 2GB of storage per workspace
- They diverge on capability: Azure Machine Learning covers Automated ML, Baserow covers Database tables.
Where they differ
Only the attributes on which Azure Machine Learning and Baserow actually diverge.
| Attribute | Azure Machine Learning | Baserow |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | Azure Cloud | Web, Api, Self-hosted |
| Category | Machine Learning & Data Science | Spreadsheet & Data |
| Founded | 1975 | 2019 |
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 Baserow
- Database tables
- Multiple views
- Forms
- API access
- Real-time collaboration
- Templates
- Plugins
- Self-hosting
Both cover
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Azure Machine Learning
- Machine learningnot Baserow
- Data analysisnot Baserow
- Model trainingnot Baserow
- Predictive analyticsnot Baserow
Baserow
- Self-hosting an open source alternative to a spreadsheet databasenot Azure Machine Learning
- Structured team data with Kanban, calendar and grid viewsnot Azure Machine Learning
- Building internal tools on top of a database with an APInot Azure Machine Learning
- Sharing data with external app users without giving them full seatsnot 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
Baserow
- The free tier is capped at 3,000 rows and 2GB of storage per workspace
- Kanban, calendar and survey views need Premium at $10 per user per month billed yearly
- Role-based permissions, audit logs and SSO require Premium or higher
- Row limits are per workspace rather than per table, so splitting data across bases does not raise the ceiling
- Automation runs are metered as credits, 2,000 a month on free
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
Baserow
Free- FreeFree
- Unlimited rows
- Core features
- Community support
- Premium$5/user/month
- Row comments
- Kanban view
- Survey form
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 Baserow if
- You need database tables.
- You want to start without paying.
- You work on Web, Api, Self-hosted.
- You also want multiple views.
Questions people ask
- Is Azure Machine Learning or Baserow better?
- Neither clearly leads. Azure Machine Learning starts at Free and Baserow at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Azure Machine Learning or Baserow?
- Azure Machine Learning starts at Free and Baserow at Free.
- Does Azure Machine Learning or Baserow run on more platforms?
- Azure Machine Learning runs on Azure Cloud. Baserow runs on Web, Api, Self-hosted.
- 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 Baserow is typically brought in for.
- What can Azure Machine Learning do that Baserow cannot?
- Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps. Baserow covers Database tables, Multiple views, Forms, API access. Both handle Web support.
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.
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.
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.
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.
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.
SourceRelated pages
More on Azure Machine Learning
Other head to heads
- Azure Machine Learning vs AWS SageMaker
- Azure Machine Learning vs Google Vertex AI
- Azure Machine Learning vs DataRobot
- Azure Machine Learning vs Snowflake
- Azure Machine Learning vs TensorFlow
- Azure Machine Learning vs Comet ML
- Azure Machine Learning vs Keras
- Azure Machine Learning vs MLflow
- Azure Machine Learning vs Jupyter
- Azure Machine Learning vs PyTorch
- Azure Machine Learning vs scikit-learn
- Azure Machine Learning vs Apache Spark MLlib
- Azure Machine Learning vs Weights & Biases
- Azure Machine Learning vs Alteryx
- Azure Machine Learning vs Anaconda
- Azure Machine Learning vs Databricks
- Azure Machine Learning vs Dataiku
- Azure Machine Learning vs DVC
- Azure Machine Learning vs Tableau
- Azure Machine Learning vs Looker
- Azure Machine Learning vs Metabase
- Azure Machine Learning vs Redash
- Azure Machine Learning vs Fibery
- Azure Machine Learning vs Apache Superset
- Azure Machine Learning vs Budibase
- Azure Machine Learning vs NocoDB
- Baserow vs AWS SageMaker
- Baserow vs Google Vertex AI
- Baserow vs DataRobot
- Baserow vs Snowflake
- Baserow vs TensorFlow
- Baserow vs Comet ML
- Baserow vs Keras
- Baserow vs MLflow
- Baserow vs Jupyter
- Baserow vs PyTorch
- Baserow vs scikit-learn
- Baserow vs Apache Spark MLlib
- Baserow vs Weights & Biases
- Baserow vs Alteryx
- Baserow vs Anaconda
- Baserow vs Databricks
- Baserow vs Dataiku
- Baserow vs DVC
- Baserow vs Tableau
- Baserow vs Looker
- Baserow vs Metabase
- Baserow vs Redash
- Baserow vs Fibery
- Baserow vs Apache Superset
- Baserow vs Budibase
- Baserow vs NocoDB

