Machine Learning · head to head
Databricks vs Weights & Biases

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

Weights & Biases
Machine Learning
Developer tools for machine learning
- 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; Weights & Biases pricing can be prohibitive for large teams without enterprise discounts
- They diverge on capability: Databricks covers Delta Lake, Weights & Biases covers Experiment tracking.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Databricks and Weights & Biases actually diverge.
| Attribute | Databricks | Weights & Biases |
|---|---|---|
| Pricing model | usage-based | Unknown |
| Platforms | Web, Aws, Azure, Gcp | Web, Python SDK, REST API |
| Founded | 2013 | 2017 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning).
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 Weights & Biases
- Experiment tracking
- Dataset versioning
- Model registry
- Hyperparameter sweeps
- Collaborative dashboards
- PyTorch
- TensorFlow
- Keras
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 Weights & Biases
- Building a lakehouse over data in cloud object storagenot Weights & Biases
- Training and serving machine learning models alongside the datanot Weights & Biases
Weights & Biases
- Machine learningnot Databricks
- Data analysisnot Databricks
- Model trainingnot Databricks
- Predictive 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
Weights & Biases
- Pricing can be prohibitive for large teams without enterprise discounts
- Limited integrations compared to some competitors
- Dashboard customization options limited on lower plans
- Requires some setup and configuration knowledge
Pricing, plan by plan
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
Weights & Biases
Free- FreeFree
- 5 model seats
- 5 GB storage
- 1 GB/month Weave ingestion
- Pro$60/month
- 10 seats
- 100 GB storage
- Private projects
- Teams$179/month
- Team collaboration
- Advanced analytics
- Dedicated 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 Weights & Biases if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Python SDK, REST API.
- You also want dataset versioning.
Questions people ask
- Is Databricks or Weights & Biases better?
- Neither clearly leads. Databricks starts at Free and Weights & Biases at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databricks or Weights & Biases?
- Databricks starts at Free and Weights & Biases at Free.
- Does Databricks or Weights & Biases run on more platforms?
- Databricks runs on Web, Aws, Azure, Gcp. Weights & Biases runs on Web, Python SDK, REST API.
- 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 Weights & Biases is typically brought in for.
- What can Databricks do that Weights & Biases cannot?
- Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Weights & Biases covers Experiment tracking, Dataset versioning, Model registry, Hyperparameter sweeps. Both handle 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.
SourceWeights & Biases: Does Weights & Biases have a free plan?
Yes. The Free tier includes 5 model seats, 5 GB storage, and 1 GB/month Weave ingestion. Academic users get unlimited tracked hours, 200 GB storage, and 100 seats at no cost.
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.
SourceWeights & Biases: What are the paid plans for Weights & Biases?
Pro starts at $60/month with 10 seats and 100 GB storage. Team plans start at $179/month. Enterprise pricing is custom.
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.
SourceWeights & Biases: What machine learning features does W&B provide?
Weights & Biases captures hyperparameters, metrics, and model outputs automatically. Features include experiment tracking, interactive Reports for sharing findings, Artifacts for managing datasets and models, advanced hyperparameter sweeps, and model deployment tools.
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.
SourceRelated pages
More on Weights & Biases
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- Weights & Biases vs Google Vertex AI
- Weights & Biases vs Azure Machine Learning
- Weights & Biases vs DataRobot
- Weights & Biases vs TensorFlow
- Weights & Biases vs SAS
- Weights & Biases vs Snowflake
- Weights & Biases vs Apache Spark MLlib
- Weights & Biases vs Alteryx
- Weights & Biases vs IBM SPSS
- Weights & Biases vs Palantir Foundry
- Weights & Biases vs BentoML
- Weights & Biases vs ClearML
- Weights & Biases vs Cohere
- Weights & Biases vs Dask
- Weights & Biases vs Fal AI
- Weights & Biases vs BigQuery ML
- Weights & Biases vs Neptune.ai
- Weights & Biases vs Comet ML
- Weights & Biases vs MLflow
- Weights & Biases vs Dataiku
- Weights & Biases vs Domino Data Lab
- Weights & Biases vs DVC
- Weights & Biases vs MATLAB
- Weights & Biases vs JMP
- Weights & Biases vs Pachyderm
- Weights & Biases vs Seldon
- Weights & Biases vs Stata
- Weights & Biases vs TensorBoard
- Weights & Biases vs KNIME
