Software · head to head
Amplitude vs Databricks

Amplitude
Software
The digital analytics platform to understand your users
- From
- Free
- Rated
- -

Databricks
Software
Unified analytics platform for data engineering and data science
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Amplitude metered on event volume, so instrumenting more of a product raises the bill even if the audience does not grow; Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges
- They diverge on capability: Amplitude covers Event tracking, Databricks covers Delta Lake.
Where they differ
Only the attributes on which Amplitude and Databricks actually diverge.
| Attribute | Amplitude | Databricks |
|---|---|---|
| Pricing model | Unknown | usage-based |
| Platforms | Web, Ios, Android, Api | Web, Aws, Azure, Gcp |
| Founded | 2012 | 2013 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).
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 Amplitude
- Event tracking
- User segmentation
- Funnel analysis
- Retention analysis
- Cohort analysis
- A/B testing
- Revenue analytics
- Predictive analytics
Only in Databricks
- Delta Lake
- Apache Spark
- MLflow
- Unity Catalog
- Photon Engine
- Collaborative Notebooks
- Auto-scaling
- AWS
What people use each for
The jobs each tool is most often brought in to do.
Amplitude
- User behavior analysisnot Databricks
- Feature adoption trackingnot Databricks
- Conversion rate optimizationnot Databricks
- Customer journey mappingnot Databricks
- Retention improvementnot Databricks
Databricks
- Running Spark data engineering pipelines on managed clustersnot Amplitude
- Building a lakehouse over data in cloud object storagenot Amplitude
- Training and serving machine learning models alongside the datanot Amplitude
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Amplitude
- Metered on event volume, so instrumenting more of a product raises the bill even if the audience does not grow
- The free plan covers 2M events a month
- The Plus plan scales to 70M events, above which pricing is custom
- Growth and Enterprise pricing is not published
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
Amplitude
Free- StarterFree
- 2 million events per month
- Plus$49/month
- $0.049 per MTU
- Up to 300k MTUs
- Advanced analytics
- GrowthFree
- Causal insights
- Feature experimentation
- Real-time streaming
- EnterpriseFree
- Cross-product analysis
- Advanced permissions
- Dedicated account manager
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 Amplitude if
- You need event tracking.
- You want to start without paying.
- You work on Web, Ios, Android, Api.
- You also want user segmentation.
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 Amplitude or Databricks better?
- Neither clearly leads. Amplitude starts at Free and Databricks at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amplitude or Databricks?
- Amplitude starts at Free and Databricks at Free.
- Does Amplitude or Databricks run on more platforms?
- Amplitude runs on Web, Ios, Android, Api. Databricks runs on Web, Aws, Azure, Gcp.
- Can I use Amplitude for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Amplitude best used for?
- Amplitude is most often used for user behavior analysis, feature adoption tracking, conversion rate optimization, customer journey mapping. Of those, user behavior analysis and feature adoption tracking are not what Databricks is typically brought in for.
- What can Amplitude do that Databricks cannot?
- Amplitude covers Event tracking, User segmentation, Funnel analysis, Retention analysis. Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog.
Answered from the vendors’ own pages
Amplitude: Does Amplitude have a free plan?
Yes, Amplitude offers a free Starter plan with 2 million events per month and access to the entire platform including analytics, session replay, and experimentation features.
SourceAmplitude: What is Amplitude's pricing based on?
Amplitude's pricing is based on the number of monthly tracked users (MTUs), data volume, and advanced features selected. The Plus plan starts at $49 per month with a rate of $0.049 per MTU.
SourceAmplitude: What analytics features does every Amplitude plan include?
Every plan includes access to the full platform: analytics, session replay, feature experimentation, web experimentation, guides and surveys, activation, and AI tools like AI Feedback and AI Assistant.
SourceRelated pages
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- Databricks vs Datadog
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- Databricks vs Azure Machine Learning
- Databricks vs DataRobot
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- Databricks vs TensorFlow
- Databricks vs Comet ML
- Databricks vs Keras
- Databricks vs MLflow
- Databricks vs Jupyter
- Databricks vs PyTorch
- Databricks vs scikit-learn
- Databricks vs Apache Spark MLlib
- Databricks vs Weights & Biases
- Databricks vs Alteryx
- Databricks vs Anaconda
- Databricks vs Dataiku
- Databricks vs DVC
