Machine Learning & Data Science · head to head
Databricks vs Labster

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

Labster
Education & E-Learning
Virtual science labs for immersive learning
- 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; Labster customization is limited and labs cannot be easily adapted to specific course learning outcomes
- They diverge on capability: Databricks covers Delta Lake, Labster covers Virtual simulations.
Where they differ
Only the attributes on which Databricks and Labster actually diverge.
| Attribute | Databricks | Labster |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | subscription |
| Free tier | Yes | No |
| Platforms | Web, Aws, Azure, Gcp | Web |
| Category | Machine Learning & Data Science | Education & E-Learning |
| Founded | 2013 | 2011 |
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 Labster
- Virtual simulations
- 3D environments
- Theory pages
- Quizzes
- Lab reports
- Progress tracking
- Mobile access
- Multiplayer
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 Labster
- Building a lakehouse over data in cloud object storagenot Labster
- Training and serving machine learning models alongside the datanot Labster
Labster
- Virtual labsnot Databricks
- Pre-lab preparationnot Databricks
- Supplemental learningnot Databricks
- Remote educationnot 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
Labster
- Customization is limited and labs cannot be easily adapted to specific course learning outcomes
- Simulations can lag or freeze depending on operating system and connection speed
- Cannot fully replace hands-on physical lab experience and data collection
- Students report preference for tactile physical lab experience over virtual simulations
Pricing, plan by plan
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
Labster
On request- Student Access$49/month
- Course simulations
- Mobile access
- Progress tracking
- Institution$undefined/month
- All simulations
- LMS integration
- Analytics
- Enterprise$undefined/month
- Custom content
- API access
- Priority 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.
Questions people ask
- Is Databricks or Labster better?
- Neither clearly leads. Databricks starts at Free and Labster at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databricks or Labster?
- Databricks has a free tier; the other does not. Paid plans start at Free for Databricks and On request for Labster.
- Does Databricks or Labster run on more platforms?
- Databricks runs on Web, Aws, Azure, Gcp. Labster runs on Web.
- Can I use Databricks for free?
- Yes. Databricks has a free tier, so you can try it without paying. Labster 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 Labster is typically brought in for.
- What can Databricks do that Labster cannot?
- Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Labster covers Virtual simulations, 3D environments, Theory pages, Quizzes. Both handle Web support.
Answered from the vendors’ own pages
Labster: What STEM subjects does Labster cover?
Labster provides interactive 3D simulations across biology, chemistry, physics, and other STEM subjects, designed for university, college, and high school students.
Labster: How many students has Labster served?
Labster has served over 6 million students and thousands of institutions globally with its virtual lab simulations.
Related pages
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- Labster vs AWS SageMaker
- Labster vs Google Vertex AI
- Labster vs Azure Machine Learning
- Labster vs DataRobot
- Labster vs Snowflake
- Labster vs TensorFlow
- Labster vs Comet ML
- Labster vs Keras
- Labster vs MLflow
- Labster vs Jupyter
- Labster vs PyTorch
- Labster vs scikit-learn
- Labster vs Apache Spark MLlib
- Labster vs Weights & Biases
- Labster vs Alteryx
- Labster vs Anaconda
- Labster vs Dataiku
- Labster vs DVC
- Labster vs Blackboard
- Labster vs Codecademy
- Labster vs DataCamp
- Labster vs Khan Academy
- Labster vs Babbel
- Labster vs Gimkit
- Labster vs Pluralsight
- Labster vs Quizizz
- Labster vs Rosetta Stone
- Labster vs Udemy
- Labster vs 360Learning
- Labster vs Articulate 360
- Labster vs Brilliant
- Labster vs Duolingo
- Labster vs Flip
- Labster vs MasterClass
- Labster vs Miro Education
- Labster vs Open edX
