Software · head to head
Databricks vs IBM SPSS

Databricks
Software
Unified analytics platform for data engineering and data science
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges; IBM SPSS add-on packages are priced separately from the base subscription, and the promotional 45% discount on them excludes renewals
- They diverge on capability: Databricks covers Delta Lake, IBM SPSS covers Statistical analysis.
Where they differ
Only the attributes on which Databricks and IBM SPSS actually diverge.
| Attribute | Databricks | IBM SPSS |
|---|---|---|
| Pricing model | usage-based | subscription |
| Platforms | Web, Aws, Azure, Gcp | Linux, Mac, Windows |
| Founded | 2013 | 1911 |
Identical on both: starting price (Free), free tier (Yes), 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
- AWS
Only in IBM SPSS
- Statistical analysis
- Predictive modeling
- Data visualization
- Survey analysis
- Decision trees
- Python
- R
- Excel
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 IBM SPSS
- Building a lakehouse over data in cloud object storagenot IBM SPSS
- Training and serving machine learning models alongside the datanot IBM SPSS
IBM SPSS
- Statistical testing and regression analysis for academic and market researchnot Databricks
- Predictive modelling and forecasting without writing codenot 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
IBM SPSS
- Add-on packages are priced separately from the base subscription, and the promotional 45% discount on them excludes renewals
- Subscription cost renews at the then current price at the end of the first year, so the advertised rate applies to the first term only
- Prices shown are described by IBM as indicative, vary by country and exclude applicable taxes and duties
- Extended access periods of 12 months or more are handled as tailored pricing rather than a published rate
- Advanced statistics, custom tables, decision trees and forecasting are separate add-ons rather than part of the base product
Pricing, plan by plan
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
IBM SPSS
Free- TrialFree
- 14-day trial
- Full features
- Base$99/month
- Core statistics
- Data management
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 IBM SPSS if
- You need statistical analysis.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want predictive modeling.
Questions people ask
- Is Databricks or IBM SPSS better?
- Neither clearly leads. Databricks starts at Free and IBM SPSS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databricks or IBM SPSS?
- Databricks starts at Free and IBM SPSS at Free.
- Does Databricks or IBM SPSS run on more platforms?
- Databricks runs on Web, Aws, Azure, Gcp. IBM SPSS runs on Linux, Mac, Windows.
- Can I use Databricks for free?
- Both have a free tier, so you can try either at no cost before committing.
- 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 IBM SPSS is typically brought in for.
- What can Databricks do that IBM SPSS cannot?
- Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. IBM SPSS covers Statistical analysis, Predictive modeling, Data visualization, Survey analysis.
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
- IBM SPSS vs AWS SageMaker
- IBM SPSS vs Google Vertex AI
- IBM SPSS vs Azure Machine Learning
- IBM SPSS vs DataRobot
- IBM SPSS vs Snowflake
- IBM SPSS vs TensorFlow
- IBM SPSS vs Comet ML
- IBM SPSS vs Keras
- IBM SPSS vs MLflow
- IBM SPSS vs Jupyter
- IBM SPSS vs PyTorch
- IBM SPSS vs scikit-learn
- IBM SPSS vs Apache Spark MLlib
- IBM SPSS vs Weights & Biases
- IBM SPSS vs Alteryx
- IBM SPSS vs Anaconda
- IBM SPSS vs Dataiku
- IBM SPSS vs DVC

