Machine Learning · head to head
Databricks vs Glassbox

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: Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges; Glassbox no fixed pricing tiers published; custom quotes required based on package, data retention, and session volume
- They diverge on capability: Databricks covers Delta Lake, Glassbox covers Session Replay.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Databricks and Glassbox actually diverge.
| Attribute | Databricks | Glassbox |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | subscription |
| Free tier | Yes | No |
| Platforms | Web, Aws, Azure, Gcp | Web, Mobile, Hybrid |
| Category | Machine Learning | Business Intelligence |
| Founded | 2013 | 2010 |
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 Databricks
- Delta Lake
- Apache Spark
- MLflow
- Unity Catalog
- Photon Engine
- Collaborative Notebooks
- Auto-scaling
- AWS
Only in Glassbox
- Session Replay
- Struggle Detection
- Journey Mapping
- AI Insights
- Voice of Customer
- Adobe Analytics
- Google Analytics
- Salesforce
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 Glassbox
- Building a lakehouse over data in cloud object storagenot Glassbox
- Training and serving machine learning models alongside the datanot Glassbox
Glassbox
- User experience analysisnot Databricks
- Bug reproductionnot Databricks
- Conversion optimizationnot Databricks
- Customer journey mappingnot Databricks
- Usability testingnot 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
Glassbox
- No fixed pricing tiers published; custom quotes required based on package, data retention, and session volume
Pricing, plan by plan
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
Glassbox
On request- CustomFree
- Full Platform
- Mobile Analytics
- Enterprise 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 Glassbox if
- You need session replay.
- You work on Web, Mobile, Hybrid.
- You also want struggle detection.
Questions people ask
- Is Databricks or Glassbox better?
- Neither clearly leads. Databricks starts at Free and Glassbox at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databricks or Glassbox?
- Databricks has a free tier; the other does not. Paid plans start at Free for Databricks and On request for Glassbox.
- Does Databricks or Glassbox run on more platforms?
- Databricks runs on Web, Aws, Azure, Gcp. Glassbox runs on Web, Mobile, Hybrid.
- Can I use Databricks for free?
- Yes. Databricks has a free tier, so you can try it without paying. Glassbox starts at On request.
- 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 Glassbox is typically brought in for.
- What can Databricks do that Glassbox cannot?
- Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Glassbox covers Session Replay, Struggle Detection, Journey Mapping, AI Insights. 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.
SourceGlassbox: How much does Glassbox cost?
Glassbox uses custom pricing based on three factors: the selected package (Production Operation, Marketing/Business, or Product), data retention period, and session volume. The vendor encourages contacting sales to build customized packages.
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.
SourceGlassbox: Does Glassbox offer add-ons for specific industries?
Yes, Glassbox offers specialized add-on solutions including fraud prevention, accessibility features, and call center solutions tailored for financial organizations.
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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- Glassbox vs Google Vertex AI
- Glassbox vs Azure Machine Learning
- Glassbox vs DataRobot
- Glassbox vs TensorFlow
- Glassbox vs SAS
- Glassbox vs Snowflake
- Glassbox vs Apache Spark MLlib
- Glassbox vs Alteryx
- Glassbox vs IBM SPSS
- Glassbox vs Palantir Foundry
- Glassbox vs BentoML
- Glassbox vs ClearML
- Glassbox vs Cohere
- Glassbox vs Dask
- Glassbox vs Fal AI
- Glassbox vs BigQuery ML
- Glassbox vs MicroStrategy
- Glassbox vs Sisense
- Glassbox vs Power BI
- Glassbox vs Amazon QuickSight
- Glassbox vs Quantum Metric
- Glassbox vs Dundas BI
- Glassbox vs Anaplan
- Glassbox vs GoodData
- Glassbox vs IBM Cognos Analytics
- Glassbox vs Oracle Analytics Cloud
- Glassbox vs SAP BusinessObjects
- Glassbox vs ChartMogul
- Glassbox vs NetBase Quid
- Glassbox vs Phocas
- Glassbox vs Preset
- Glassbox vs ProfitWell
- Glassbox vs Quid

