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Machine Learning & Data Science · head to head

Databricks vs JMP

Databricks logo

Databricks

Machine Learning & Data Science

Unified analytics platform for data engineering and data science

From
Free
Rated
-
JMP logo

JMP

Machine Learning & Data Science

Statistical discovery software from SAS

From
Free
Rated
-

The short version

  • Each has a real cost: Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges; JMP the Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.
  • They diverge on capability: Databricks covers Delta Lake, JMP covers Interactive statistics.

Where they differ

Only the attributes on which Databricks and JMP actually diverge.

Attributes where Databricks and JMP differ
AttributeDatabricksJMP
Pricing modelusage-basedsubscription
PlatformsWeb, Aws, Azure, GcpMac, Windows
Founded20131976

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Machine Learning & Data Science).

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 JMP

  • Interactive statistics
  • Dynamic visualization
  • Design of experiments
  • Predictive modeling
  • Quality control
  • SAS
  • Python
  • R

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

JMP

  • Machine learningnot Databricks
  • Data analysisnot Databricks
  • Model trainingnot Databricks
  • Predictive analyticsnot 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

JMP

  • The Internet Archive's capture of JMP's homepage on 13 January 2020 named five distinct editions, JMP, JMP Live, JMP Pro, JMP Clinical, and JMP Genomics, each targeting a different analysis use case, with no price figure published for any.

Pricing, plan by plan

Databricks

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

JMP

Free
  • TrialFree
    • 30-day trial
    • Full features
  • JMP$1785/year
    • Core JMP
    • Standard features

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.

Choose JMP if

  • You need interactive statistics.
  • You want to start without paying.
  • You work on Mac, Windows.
  • You also want dynamic visualization.

Questions people ask

Is Databricks or JMP better?
Neither clearly leads. Databricks starts at Free and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databricks or JMP?
Databricks starts at Free and JMP at Free.
Does Databricks or JMP run on more platforms?
Databricks runs on Web, Aws, Azure, Gcp. JMP runs on Mac, 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 JMP is typically brought in for.
What can Databricks do that JMP cannot?
Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. JMP covers Interactive statistics, Dynamic visualization, Design of experiments, Predictive modeling.

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