Databricksvs
AWS SageMaker


AWS SageMaker: Build, train, and deploy machine learning models at scale

Unified analytics platform for data engineering and data science
As of 30 August 2026, Databricks is free to use. Databricks is a unified analytics platform that provides a collaborative environment for data engineers, data scientists, and machine learning engineers. Softwr lists it under Machine Learning. Databricks is made by Databricks Inc., launched in 2013, available on Web.
Overview
Databricks is a unified analytics platform that provides a collaborative environment for data engineers, data scientists, and machine learning engineers. It combines data warehousing and AI, built on open source technologies like Apache Spark and Delta Lake.
The honest half
Concrete and checkable, so you can decide whether any of them matter to you. This is the half of a review a vendor will not write about Databricks.
Cross-shopped
Each pairing was judged by two reviewers asking whether a buyer would genuinely weigh the two against each other. The ones that failed were deleted rather than published.


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Pricing
Taken from the vendor's own pricing page. Prices move, so check before you buy.
Community Edition
Free
Standard
$0.07 /DBU
Capabilities
Delta Lake
Apache Spark
MLflow
Unity Catalog
Photon Engine
Collaborative Notebooks
Auto-scaling
AWS
Integration with AWS
Azure
Integration with Azure
GCP
Integration with GCP
Tableau
Integration with Tableau
Power BI
Integration with Power BI
Answered, with sources
Each answer names the page it came from, so you can check it rather than take our word for it.
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.
SourceNot 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.
SourceNo. 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.
SourceDatabricks offers Committed Use Contracts, where larger usage commitments earn greater benefits, including options to use commitments flexibly across multiple clouds.
SourceBehind it
Timeline
Keep looking
Build, train, and deploy machine learning models at scale
Microsoft's managed platform for training, tracking and deploying models on Azure
The machine learning library inside Apache Spark, for data that will not fit on one machine
Open source Python framework that packages models into deployable inference services
Open-source MLOps platform for experiment tracking and orchestration
Softwr does not host reviews and shows no star rating for Databricks, because a rating we did not collect is not ours to publish. What is here is the pricing and platform detail from the vendor’s own pages, limitations we could state concretely, and alternatives a reviewer confirmed people weigh against it. Tell us if any of it is wrong.
What people switch to, and what they give up
Every tier, and where the cost actually lands
Put it head to head with anything we hold
Its rating, and an embed for your own site
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