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Machine Learning · head to head

Databricks vs Glassbox

Databricks logo

Databricks

Machine Learning

Unified analytics platform for data engineering and data science

From
Free
Rated
-
Glassbox logo

Glassbox

Business Intelligence

Digital experience intelligence

From
On request
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.

Attributes where Databricks and Glassbox differ
AttributeDatabricksGlassbox
Starting priceFreeOn request
Pricing modelusage-basedsubscription
Free tierYesNo
PlatformsWeb, Aws, Azure, GcpWeb, Mobile, Hybrid
CategoryMachine LearningBusiness Intelligence
Founded20132010

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.

Source
Glassbox: 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.

Source
Databricks: 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.

Source
Glassbox: 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.

Source
Databricks: 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.

Source
Databricks: 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.

Source
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