Software · head to head
Databricks vs RapidMiner

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; RapidMiner rapidMiner is now a Siemens product: rapidminer.com redirects to a Siemens product page and the former Altair page redirects there too
- They diverge on capability: Databricks covers Delta Lake, RapidMiner covers Visual workflows.
Where they differ
Only the attributes on which Databricks and RapidMiner actually diverge.
| Attribute | Databricks | RapidMiner |
|---|---|---|
| Pricing model | usage-based | freemium |
| Platforms | Web, Aws, Azure, Gcp | Linux, Mac, Windows, Web |
| Founded | 2013 | 2007 |
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 RapidMiner
- Visual workflows
- AutoML
- Data preparation
- Model deployment
- Text mining
- Python
- R
- Spark
Both cover
- 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 RapidMiner
- Building a lakehouse over data in cloud object storagenot RapidMiner
- Training and serving machine learning models alongside the datanot RapidMiner
RapidMiner
- Visual drag and drop machine learning model buildingnot Databricks
- Data preparation and cleansing before modellingnot Databricks
- Deploying and scoring predictive models in an enterprise settingnot 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
RapidMiner
- RapidMiner is now a Siemens product: rapidminer.com redirects to a Siemens product page and the former Altair page redirects there too
- Pricing is by quote only: the product page publishes no rate, no licensing unit and no minimum, offering only a Contact us button
- The product is now one component of a six product portfolio alongside Graph Studio, SLC, Monarch, Panopticon and Knowledge Studio
Pricing, plan by plan
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
RapidMiner
Free- FreeFree
- 10,000 data rows
- 1 logical processor
- ProfessionalFree
- Unlimited data
- Full features
- Support
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 RapidMiner if
- You need visual workflows.
- You want to start without paying.
- You work on Linux, Mac, Windows, Web.
- You also want automl.
Questions people ask
- Is Databricks or RapidMiner better?
- Neither clearly leads. Databricks starts at Free and RapidMiner at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databricks or RapidMiner?
- Databricks starts at Free and RapidMiner at Free.
- Does Databricks or RapidMiner run on more platforms?
- Databricks runs on Web, Aws, Azure, Gcp. RapidMiner runs on Linux, Mac, Windows, Web.
- 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 RapidMiner is typically brought in for.
- What can Databricks do that RapidMiner cannot?
- Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. RapidMiner covers Visual workflows, AutoML, Data preparation, Model deployment. Both handle Web support.
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