Machine Learning & Data Science · head to head
Databricks vs Ollama

Databricks
Machine Learning & Data Science
Unified analytics platform for data engineering and data science
- From
- Free
- Rated
- -

Ollama
Machine Learning & Data Science
Open-source tool for running LLMs locally on desktop and servers
- 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; Ollama requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines
Where they differ
Only the attributes on which Databricks and Ollama actually diverge.
| Attribute | Databricks | Ollama |
|---|---|---|
| Pricing model | usage-based | open-source |
| Platforms | Web, Aws, Azure, Gcp | macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted) |
| Founded | 2013 | Unknown |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).
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 Ollama
Nothing recorded that Databricks does not also cover.
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 Ollama
- Building a lakehouse over data in cloud object storagenot Ollama
- Training and serving machine learning models alongside the datanot Ollama
Ollama
- Local development and testing without API costs or rate limitsnot Databricks
- Privacy-sensitive applications requiring data to remain on-devicenot Databricks
- Cost-sensitive deployments where computational resources are already availablenot Databricks
- Fully offline environments or air-gapped networksnot 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
Ollama
- Requires user to provide computational hardware; no free cloud compute; models may not fit in available RAM on typical machines
- No hosted service option for inference; all computational burden falls to user
- Limited to open-weight models; cannot run proprietary models like GPT-4 or Claude locally
- Performance depends entirely on user's hardware; no SLAs or guarantees on speed
Pricing, plan by plan
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
Ollama
FreeNo published plan breakdown. See the Ollama review.
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 Ollama if
- You want to start without paying.
- You work on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).
Questions people ask
- Is Databricks or Ollama better?
- Neither clearly leads. Databricks starts at Free and Ollama at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databricks or Ollama?
- Databricks starts at Free and Ollama at Free.
- Does Databricks or Ollama run on more platforms?
- Databricks runs on Web, Aws, Azure, Gcp. Ollama runs on macOS, Windows, Linux, Cloud (AWS, Google Cloud, Azure, self-hosted).
- 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 Ollama is typically brought in for.
- What can Databricks do that Ollama cannot?
- Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog.
Related pages
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
- Ollama vs AWS SageMaker
- Ollama vs Google Vertex AI
- Ollama vs Azure Machine Learning
- Ollama vs DataRobot
- Ollama vs Snowflake
- Ollama vs TensorFlow
- Ollama vs Comet ML
- Ollama vs Keras
- Ollama vs MLflow
- Ollama vs Jupyter
- Ollama vs PyTorch
- Ollama vs scikit-learn
- Ollama vs Apache Spark MLlib
- Ollama vs Weights & Biases
- Ollama vs Alteryx
- Ollama vs Anaconda
- Ollama vs Dataiku
- Ollama vs DVC
