AI · head to head
Banana vs Databricks

Databricks
Machine Learning
Unified analytics platform for data engineering and data science
- From
- Free
- Rated
- -
The short version
- Only Databricks has a free tier, so it costs nothing to try first.
- Each has a real cost: Banana banana shut down its serverless GPU infrastructure on 31 March 2024 at noon PST and told customers to migrate to another provider by that time; Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges
- They diverge on capability: Banana covers GPU inference, Databricks covers Delta Lake.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Banana and Databricks actually diverge.
| Attribute | Banana | Databricks |
|---|---|---|
| Starting price | $1200/month | Free |
| Pricing model | subscription | usage-based |
| Free tier | No | Yes |
| Platforms | Cloud, Api | Web, Aws, Azure, Gcp |
| Category | AI | Machine Learning |
| Founded | 2021 | 2013 |
Identical on both: 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 Banana
- GPU inference
- Docker deployment
- Low latency
- REST API
- Python SDK
- Cloud support
- Api support
Only in Databricks
- Delta Lake
- Apache Spark
- MLflow
- Unity Catalog
- Photon Engine
- Collaborative Notebooks
- AWS
- Azure
Both cover
- Auto-scaling
What people use each for
The jobs each tool is most often brought in to do.
Banana
- Historically, serverless GPU inference for machine learning modelsnot Databricks
- Migration reference for teams that ran models on Banana before the 2024 shutdownnot Databricks
Databricks
- Running Spark data engineering pipelines on managed clustersnot Banana
- Building a lakehouse over data in cloud object storagenot Banana
- Training and serving machine learning models alongside the datanot Banana
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Banana
- Banana shut down its serverless GPU infrastructure on 31 March 2024 at noon PST and told customers to migrate to another provider by that time
- The vendor's own sunset notice names limited runway, retention problems and GPU supply constraints as the reasons for closing
- The banana.dev site still displays pricing tiers, but every tier links to the sunset notice rather than to a purchase
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
Pricing, plan by plan
Banana
$1200/month- Team$1200/month
- 10 team members
- 5 projects
- 50 max parallel GPUs
- Enterprise$null/custom
- Custom seat limit
- Custom GPU configuration
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
Which should you pick?
Choose Banana if
- You need gpu inference.
- You work on Cloud, Api.
- You also want docker deployment.
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.
Questions people ask
- Is Banana or Databricks better?
- Neither clearly leads. Banana starts at $1200/month and Databricks at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Banana or Databricks?
- Databricks has a free tier; the other does not. Paid plans start at $1200/month for Banana and Free for Databricks.
- Does Banana or Databricks run on more platforms?
- Banana runs on Cloud, Api. Databricks runs on Web, Aws, Azure, Gcp.
- Can I use Databricks for free?
- Yes. Databricks has a free tier, so you can try it without paying. Banana starts at $1200/month.
- What is Banana best used for?
- Banana is most often used for historically, serverless gpu inference for machine learning models, migration reference for teams that ran models on banana before the 2024 shutdown. Of those, historically, serverless gpu inference for machine learning models and migration reference for teams that ran models on banana before the 2024 shutdown are not what Databricks is typically brought in for.
- What can Banana do that Databricks cannot?
- Banana covers GPU inference, Docker deployment, Low latency, REST API. Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Both handle Auto-scaling.
Answered from the vendors’ own pages
Banana: How much does Banana's Team plan cost?
The Team plan costs $1,200 per month plus the cost of compute resources at cost with zero markup applied.
SourceDatabricks: 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.
SourceBanana: What is the maximum team size on Banana's Team plan?
The Team plan includes 10 team members and supports a maximum of 5 projects with up to 50 parallel GPUs.
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.
SourceBanana: Does Banana offer an Enterprise plan with custom pricing?
Banana offers an Enterprise plan with custom pricing plus at-cost compute, including SAML SSO, automation API, and dedicated support.
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.
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
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- 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
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