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Databricks vs Greenhouse

Databricks logo

Databricks

Software

Unified analytics platform for data engineering and data science

From
Free
Rated
-
Full reviewWebsite
Greenhouse logo

Greenhouse

Software

Hiring software for growing companies

From
On request
Rated
-
Full reviewWebsite

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; Greenhouse core plan lacks talent discovery and contact lookups
  • They diverge on capability: Databricks covers Delta Lake, Greenhouse covers Applicant tracking.

Where they differ

Only the attributes on which Databricks and Greenhouse actually diverge.

Attributes where Databricks and Greenhouse differ
AttributeDatabricksGreenhouse
Starting priceFreeOn request
Pricing modelusage-basedquote
Free tierYesNo
PlatformsWeb, Aws, Azure, GcpWeb, Ios, Android, Api
Founded20132012

Identical on both: 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 Databricks

  • Delta Lake
  • Apache Spark
  • MLflow
  • Unity Catalog
  • Photon Engine
  • Collaborative Notebooks
  • Auto-scaling
  • AWS

Only in Greenhouse

  • Applicant tracking
  • Interview scheduling
  • Scorecard system
  • Job board posting
  • Candidate CRM
  • Reporting & analytics
  • Offer management
  • EEO compliance

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

Greenhouse

  • Applicant tracking system for structured hiringnot Databricks
  • AI-powered interview notetaking and sourcingnot 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

Greenhouse

  • Core plan lacks talent discovery and contact lookups
  • Core plan lacks email automation and applicant texting
  • Plus plan lacks resume anonymisation and application limits
  • Plus plan lacks audit logging and developer tools
  • Pricing customised by hiring volume and company size, not published
  • Only Pro tier offers audit logs and developer sandbox

Pricing, plan by plan

Databricks

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

Greenhouse

On request

No published plan breakdown. See the Greenhouse review.

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 Greenhouse if

  • You need applicant tracking.
  • You work on Web, Ios, Android, Api.
  • You also want interview scheduling.
Greenhouse review

Questions people ask

Is Databricks or Greenhouse better?
Neither clearly leads. Databricks starts at Free and Greenhouse at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databricks or Greenhouse?
Databricks has a free tier; the other does not. Paid plans start at Free for Databricks and On request for Greenhouse.
Does Databricks or Greenhouse run on more platforms?
Databricks runs on Web, Aws, Azure, Gcp. Greenhouse runs on Web, Ios, Android, Api.
Can I use Databricks for free?
Yes. Databricks has a free tier, so you can try it without paying. Greenhouse 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 Greenhouse is typically brought in for.
What can Databricks do that Greenhouse cannot?
Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Greenhouse covers Applicant tracking, Interview scheduling, Scorecard system, Job board posting.
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