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Machine Learning & Data Science · head to head

Databricks vs Linear

Databricks logo

Databricks

Machine Learning & Data Science

Unified analytics platform for data engineering and data science

From
Free
Rated
-
Full reviewWebsite
Linear logo

Linear

Technology

The issue tracking tool you'll enjoy using

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; Linear no task-level Gantt chart; Timeline view is available for projects only, not individual issues
  • They diverge on capability: Databricks covers Delta Lake, Linear covers Fast, real-time sync.

Where they differ

Only the attributes on which Databricks and Linear actually diverge.

Attributes where Databricks and Linear differ
AttributeDatabricksLinear
Pricing modelusage-basedUnknown
PlatformsWeb, Aws, Azure, GcpWeb, iOS, Android, macOS, Windows
CategoryMachine Learning & Data ScienceTechnology
Founded20132019

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
  • AWS

Only in Linear

  • Fast, real-time sync
  • Keyboard-first design
  • Automatic issue tracking
  • Cycles (sprints)
  • Projects & milestones
  • Custom workflows
  • API & webhooks
  • Built-in roadmaps

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

Linear

  • Issue management and triage, converting customer feedback into prioritized issuesnot Databricks
  • Strategic planning via initiatives, roadmaps, and PRDs from idea to launchnot Databricks
  • Agent-assisted development, with agents drafting docs and submitting pull requestsnot Databricks
  • Code review with structural diffs for human and agent outputnot Databricks
  • Progress monitoring via dashboards tracking cycle times and project healthnot 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

Linear

  • No task-level Gantt chart; Timeline view is available for projects only, not individual issues
  • No native time-tracking or hour-logging feature
  • No native Linux desktop app; official FAQ states it 'may come in the future but it's not on the roadmap for now'
  • Free tier capped at 250 issues and 2 teams

Pricing, plan by plan

Databricks

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

Linear

Free
  • FreeFree
    • Unlimited members
    • 2 teams
    • 250 issues
  • Basic$10/month
    • 5 teams
    • Unlimited issues
    • Unlimited file uploads
  • Business$16/month
    • Unlimited teams
    • Private teams/guests
    • Triage Intelligence
  • Enterprise$undefined/month
    • SAML/SCIM
    • Granular admin controls
    • Invoice/PO billing

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 Linear if

  • You need fast, real-time sync.
  • You want to start without paying.
  • You work on Web, iOS, Android, macOS, Windows.
  • You also want keyboard-first design.
Linear review

Questions people ask

Is Databricks or Linear better?
Neither clearly leads. Databricks starts at Free and Linear at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databricks or Linear?
Databricks starts at Free and Linear at Free.
Does Databricks or Linear run on more platforms?
Databricks runs on Web, Aws, Azure, Gcp. Linear runs on Web, iOS, Android, macOS, Windows.
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 Linear is typically brought in for.
What can Databricks do that Linear cannot?
Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Linear covers Fast, real-time sync, Keyboard-first design, Automatic issue tracking, Cycles (sprints).
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