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Machine Learning & Data Science · head to head

Databricks vs GitHub

Databricks logo

Databricks

Machine Learning & Data Science

Unified analytics platform for data engineering and data science

From
Free
Rated
-
Full reviewWebsite
GitHub logo

GitHub

Technology

Where the world builds software

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges; GitHub acquired by Microsoft in 2018, reducing pure independence despite operational autonomy
  • They diverge on capability: Databricks covers Delta Lake, GitHub covers Git repositories.

Where they differ

Only the attributes on which Databricks and GitHub actually diverge.

Attributes where Databricks and GitHub differ
AttributeDatabricksGitHub
Pricing modelusage-basedsubscription
PlatformsWeb, Aws, Azure, GcpWeb, Desktop, Mobile
CategoryMachine Learning & Data ScienceTechnology
Founded20132008

Identical on both: starting price (Free), free tier (Yes), 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
  • GCP

Only in GitHub

  • Git repositories
  • Pull requests
  • Code review
  • Issues & projects
  • GitHub Actions CI/CD
  • GitHub Pages
  • Security scanning
  • Dependency management

Both cover

  • AWS
  • Azure

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 GitHub
  • Building a lakehouse over data in cloud object storagenot GitHub
  • Training and serving machine learning models alongside the datanot GitHub

GitHub

  • Version controlnot Databricks
  • Code collaborationnot Databricks
  • CI/CD pipelinesnot Databricks
  • Project managementnot Databricks
  • Documentation hostingnot 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

GitHub

  • Acquired by Microsoft in 2018, reducing pure independence despite operational autonomy
  • Primary focus on source control differs from purpose-built project management tools like Jira
  • Pricing for enterprise features and private repositories adds up compared to some self-hosted alternatives

Pricing, plan by plan

Databricks

Free
  • Community EditionFree
    • Limited cluster
    • Notebook environment
    • Community support
  • Standard$0.07/DBU
    • Jobs compute
    • SQL compute
    • Standard support

GitHub

Free
  • FreeFree
    • Unlimited public/private repos
    • 2,000 CI/CD minutes/month
    • 500MB package storage
  • Team$4/month
    • Everything in Free
    • 3,000 CI/CD minutes/month
    • 2GB package storage
  • Enterprise$21/month
    • Everything in Team
    • 50,000 CI/CD minutes/month
    • 50GB package storage

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.
Databricks review

Choose GitHub if

  • You need git repositories.
  • You want to start without paying.
  • You work on Web, Desktop, Mobile.
  • You also want pull requests.
GitHub review

Questions people ask

Is Databricks or GitHub better?
Neither clearly leads. Databricks starts at Free and GitHub at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databricks or GitHub?
Databricks starts at Free and GitHub at Free.
Does Databricks or GitHub run on more platforms?
Databricks runs on Web, Aws, Azure, Gcp. GitHub runs on Web, Desktop, Mobile.
Can I use Databricks for free?
Both have a free tier, so you can try either at no cost before committing.
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 GitHub is typically brought in for.
What can Databricks do that GitHub cannot?
Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. GitHub covers Git repositories, Pull requests, Code review, Issues & projects. Both handle AWS, Azure.

Answered from the vendors’ own pages

GitHub: What is a Git repository and how does GitHub use it?

A repository is the centralized database that stores the complete collection of files and folders for a codebase, along with the revision history. GitHub uses Git to provide distributed version control access to repositories with version tracking, branching, and collaboration features.

Source
GitHub: How does GitHub authentication work?

When you connect to a GitHub repository from Git, you need to authenticate with GitHub using either HTTPS or SSH. GitHub supports multiple authentication methods including passwords, personal access tokens, SSH keys, and GitHub Apps.

Source
GitHub: How long has GitHub been operating?

GitHub was founded in 2008 and launched publicly on April 10, 2008, making it the dominant git hosting platform for nearly two decades.

Source
GitHub: Who owns GitHub and when did the acquisition occur?

Microsoft acquired GitHub for $7.5 billion USD, with the deal announced June 4, 2018 and completed October 26, 2018. GitHub operates as an independent subsidiary within Microsoft.

Source
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