Software · head to head
Databricks vs Tableau

Databricks
Software
Unified analytics platform for data engineering and data science
- From
- Free
- Rated
- -

Tableau
Software
Visual analytics platform for business intelligence
- From
- $70/month
- Rated
- -
The short version
- Only Databricks has a free tier, so it costs nothing to try first.
- Each has a real cost: Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges; Tableau listed on UK G-Cloud at £9.47 per device per month for the Salesforce Tableau Platform edition, via reseller XMA Limited
- They diverge on capability: Databricks covers Delta Lake, Tableau covers Interactive Dashboards.
Where they differ
Only the attributes on which Databricks and Tableau actually diverge.
| Attribute | Databricks | Tableau |
|---|---|---|
| Starting price | Free | $70/month |
| Pricing model | usage-based | subscription |
| Free tier | Yes | No |
| Platforms | Web, Aws, Azure, Gcp | Web, Desktop, Mobile |
| Founded | 2013 | 1999 |
Identical on both: user rating (Not yet rated), category (Unknown).
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 Databricks
- Delta Lake
- Apache Spark
- MLflow
- Unity Catalog
- Photon Engine
- Collaborative Notebooks
- Auto-scaling
- Azure
Only in Tableau
- Interactive Dashboards
- Data Blending
- Real-time Analytics
- Advanced Visualizations
- Mobile Support
- Salesforce
- SAP
- Oracle
Both cover
- AWS
- Web support
What people use each for
The jobs each tool is most often brought in to do.
Databricks
- Running Spark data engineering pipelines on managed clustersnot Tableau
- Building a lakehouse over data in cloud object storagenot Tableau
- Training and serving machine learning models alongside the datanot Tableau
Tableau
- Self-service analyticsnot Databricks
- Data explorationnot Databricks
- Ad-hoc reportingnot Databricks
- Collaborative analysisnot Databricks
- Embedded analyticsnot Databricks
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Databricks
- Cloud compute is billed separately by the cloud provider on top of Databricks DBU charges
- The free trial lasts 14 days
- Discounts require a Committed Use Contract, with larger commitments needed for larger discounts
- Azure Databricks pricing is set by Microsoft rather than by Databricks
- Security and compliance capabilities are sold as separate platform add ons rather than included in the base rate
Tableau
- Listed on UK G-Cloud at £9.47 per device per month for the Salesforce Tableau Platform edition, via reseller XMA Limited
Pricing, plan by plan
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
Tableau
$70/month- Creator$70/month
- Full authoring capabilities
- Prep Builder
- Data Management
- Explorer$42/month
- Web editing
- Self-service analytics
- Viewer$15/month
- View and interact with dashboards
Which should you pick?
Choose Databricks if
- You need delta lake.
- You want to start without paying.
- You work on Web, Aws, Azure, Gcp.
- You also want apache spark.
Choose Tableau if
- You need interactive dashboards.
- You work on Web, Desktop, Mobile.
- You also want data blending.
Questions people ask
- Is Databricks or Tableau better?
- Neither clearly leads. Databricks starts at Free and Tableau at $70/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databricks or Tableau?
- Databricks has a free tier; the other does not. Paid plans start at Free for Databricks and $70/month for Tableau.
- Does Databricks or Tableau run on more platforms?
- Databricks runs on Web, Aws, Azure, Gcp. Tableau runs on Web, Desktop, Mobile.
- Can I use Databricks for free?
- Yes. Databricks has a free tier, so you can try it without paying. Tableau starts at $70/month.
- What is Databricks best used for?
- Databricks is most often used for running spark data engineering pipelines on managed clusters, building a lakehouse over data in cloud object storage, training and serving machine learning models alongside the data. Of those, running spark data engineering pipelines on managed clusters and building a lakehouse over data in cloud object storage are not what Tableau is typically brought in for.
- What can Databricks do that Tableau cannot?
- Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Tableau covers Interactive Dashboards, Data Blending, Real-time Analytics, Advanced Visualizations. Both handle AWS, Web support.
Related pages
Keep looking
Other head to heads
- Databricks vs AWS SageMaker
- Databricks vs Google Vertex AI
- Databricks vs Azure Machine Learning
- Databricks vs DataRobot
- Databricks vs Snowflake
- Databricks vs TensorFlow
- Databricks vs Comet ML
- Databricks vs Keras
- Databricks vs MLflow
- Databricks vs Jupyter
- Databricks vs PyTorch
- Databricks vs scikit-learn
- Databricks vs Apache Spark MLlib
- Databricks vs Weights & Biases
- Databricks vs Alteryx
- Databricks vs Anaconda
- Databricks vs Dataiku
- Databricks vs DVC
- Databricks vs Looker
- Databricks vs Metabase
- Databricks vs Redash
- Databricks vs Fibery
- Databricks vs Apache Superset
- Databricks vs Baserow
- Databricks vs Budibase
- Databricks vs NocoDB
- Tableau vs AWS SageMaker
- Tableau vs Google Vertex AI
- Tableau vs Azure Machine Learning
- Tableau vs DataRobot
- Tableau vs Snowflake
- Tableau vs TensorFlow
- Tableau vs Comet ML
- Tableau vs Keras
- Tableau vs MLflow
- Tableau vs Jupyter
- Tableau vs PyTorch
- Tableau vs scikit-learn
- Tableau vs Apache Spark MLlib
- Tableau vs Weights & Biases
- Tableau vs Alteryx
- Tableau vs Anaconda
- Tableau vs Dataiku
- Tableau vs DVC
- Tableau vs Looker
- Tableau vs Metabase
- Tableau vs Redash
- Tableau vs Fibery
- Tableau vs Apache Superset
- Tableau vs Baserow
- Tableau vs Budibase
- Tableau vs NocoDB
