Machine Learning · head to head
Databricks vs Preset

Databricks
Machine Learning
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; Preset limited SQL IDE advanced features compared to specialized query tools
- They diverge on capability: Databricks covers Delta Lake, Preset covers Managed Superset.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Databricks and Preset actually diverge.
| Attribute | Databricks | Preset |
|---|---|---|
| Pricing model | usage-based | Unknown |
| Platforms | Web, Aws, Azure, Gcp | Web, Cloud |
| Category | Machine Learning | Business Intelligence |
| Founded | 2013 | 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 Databricks
- Delta Lake
- Apache Spark
- MLflow
- Unity Catalog
- Photon Engine
- Collaborative Notebooks
- AWS
- Azure
Only in Preset
- Managed Superset
- Enterprise Security
- Custom Branding
- API Access
- Snowflake
- BigQuery
- Redshift
- Databricks
Both cover
- Auto-scaling
- 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 Preset
- Building a lakehouse over data in cloud object storagenot Preset
- Training and serving machine learning models alongside the datanot Preset
Preset
- 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
Preset
- Limited SQL IDE advanced features compared to specialized query tools
- Viewer licenses add substantial cost for embedded analytics deployments
- Dataset-centric approach requires preprocessing by data teams for some use cases
Pricing, plan by plan
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
Preset
FreeNo published plan breakdown. See the Preset 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 Preset if
- You need managed superset.
- You want to start without paying.
- You work on Web, Cloud.
- You also want enterprise security.
Questions people ask
- Is Databricks or Preset better?
- Neither clearly leads. Databricks starts at Free and Preset at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databricks or Preset?
- Databricks starts at Free and Preset at Free.
- Does Databricks or Preset run on more platforms?
- Databricks runs on Web, Aws, Azure, Gcp. Preset runs on Web, Cloud.
- 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 Preset is typically brought in for.
- What can Databricks do that Preset cannot?
- Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Preset covers Managed Superset, Enterprise Security, Custom Branding, API Access. Both handle Auto-scaling, Web support.
Answered from the vendors’ own pages
Databricks: How is Databricks priced?
Databricks bills pay as you go with no up front cost, charging per second for the products used. Consumption is measured in Databricks Units, a normalised unit of processing power on the platform.
SourcePreset: Is Preset free?
Preset offers a free tier for small teams called Starter with 5 users and no credit card required. Paid plans start at $25 per user per month.
SourceDatabricks: Does Databricks publish a per DBU price?
Not on its main pricing page. Rates vary by product and instance type, and Databricks directs buyers to individual product pricing pages and a calculator rather than listing a single figure.
SourcePreset: Can I export my data from Preset?
Yes. Preset uses Apache Superset and the founders contribute over 75% of commits to the open-source project, enabling migration to Superset without vendor lock-in.
SourceDatabricks: Does the Databricks price include cloud costs?
No. Databricks states that if you configure it to work with your own cloud account, your cloud provider still charges you separately for the underlying resources.
SourcePreset: Does Preset include embedded analytics?
Yes. Embedded dashboards are available on Professional and Enterprise plans, with viewer licenses starting at $500 per month for 50 licenses.
SourceDatabricks: Can I get a discount on Databricks?
Databricks offers Committed Use Contracts, where larger usage commitments earn greater benefits, including options to use commitments flexibly across multiple clouds.
SourcePreset: What is the enterprise pricing for Preset?
Enterprise plans are custom quoted. The median buyer pays $35,495 per year.
SourcePreset: Does Preset support AI-powered analytics?
Yes. As of 2026, Preset includes an AI Chatbot and MCP (Model Context Protocol) integration for building charts and dashboards via natural language.
SourceRelated pages
Other head to heads
- Databricks vs AWS SageMaker
- Databricks vs Google Vertex AI
- Databricks vs Azure Machine Learning
- Databricks vs DataRobot
- Databricks vs TensorFlow
- Databricks vs SAS
- Databricks vs Snowflake
- Databricks vs Apache Spark MLlib
- Databricks vs Alteryx
- Databricks vs IBM SPSS
- Databricks vs Palantir Foundry
- Databricks vs BentoML
- Databricks vs ClearML
- Databricks vs Cohere
- Databricks vs Dask
- Databricks vs Fal AI
- Databricks vs BigQuery ML
- Databricks vs Power BI
- Databricks vs Amazon QuickSight
- Databricks vs Domo
- Databricks vs Oracle Analytics Cloud
- Databricks vs Chartio
- Databricks vs Reportz
- Databricks vs Snowplow
- Databricks vs Yellowfin
- Databricks vs Zebra BI
- Databricks vs Sisense
- Databricks vs MicroStrategy
- Databricks vs Qlik Sense
- Databricks vs ThoughtSpot
- Databricks vs Cube
- Databricks vs Pigment
- Databricks vs Deepnote
- Databricks vs Evidence
- Databricks vs Google Data Studio
- Preset vs AWS SageMaker
- Preset vs Google Vertex AI
- Preset vs Azure Machine Learning
- Preset vs DataRobot
- Preset vs TensorFlow
- Preset vs SAS
- Preset vs Snowflake
- Preset vs Apache Spark MLlib
- Preset vs Alteryx
- Preset vs IBM SPSS
- Preset vs Palantir Foundry
- Preset vs BentoML
- Preset vs ClearML
- Preset vs Cohere
- Preset vs Dask
- Preset vs Fal AI
- Preset vs BigQuery ML
- Preset vs Power BI
- Preset vs Amazon QuickSight
- Preset vs Domo
- Preset vs Oracle Analytics Cloud
- Preset vs Chartio
- Preset vs Reportz
- Preset vs Snowplow
- Preset vs Yellowfin
- Preset vs Zebra BI
- Preset vs Sisense
- Preset vs MicroStrategy
- Preset vs Qlik Sense
- Preset vs ThoughtSpot
- Preset vs Cube
- Preset vs Pigment
- Preset vs Deepnote
- Preset vs Evidence
- Preset vs Google Data Studio

