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Machine Learning & Data Science · head to head

Databricks vs Oberlo

Databricks logo

Databricks

Machine Learning & Data Science

Unified analytics platform for data engineering and data science

From
Free
Rated
-
Full reviewWebsite
Oberlo logo

Oberlo

Inventory Management

Dropshipping made simple

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; Oberlo product permanently discontinued as of June 2022 and no longer available for installation or use
  • They diverge on capability: Databricks covers Delta Lake, Oberlo covers Product sourcing.

Where they differ

Only the attributes on which Databricks and Oberlo actually diverge.

Attributes where Databricks and Oberlo differ
AttributeDatabricksOberlo
Starting priceFreeOn request
Pricing modelusage-basedUnknown
Free tierYesNo
PlatformsWeb, Aws, Azure, GcpWeb
CategoryMachine Learning & Data ScienceInventory Management
Founded20132014

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 Oberlo

  • Product sourcing
  • Dropshipping automation
  • Supplier directory
  • Order fulfillment
  • Inventory management
  • Pricing automation
  • Analytics
  • Shopify integration

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

Oberlo

No use cases recorded yet. See the Oberlo review.

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

Oberlo

  • Product permanently discontinued as of June 2022 and no longer available for installation or use

Pricing, plan by plan

Databricks

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

Oberlo

On request

No published plan breakdown. See the Oberlo 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 Oberlo if

  • You need product sourcing.
  • You also want dropshipping automation.
Oberlo review

Questions people ask

Is Databricks or Oberlo better?
Neither clearly leads. Databricks starts at Free and Oberlo at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databricks or Oberlo?
Databricks has a free tier; the other does not. Paid plans start at Free for Databricks and On request for Oberlo.
Does Databricks or Oberlo run on more platforms?
Databricks runs on Web, Aws, Azure, Gcp. Oberlo runs on Web.
Can I use Databricks for free?
Yes. Databricks has a free tier, so you can try it without paying. Oberlo 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 Oberlo is typically brought in for.
What can Databricks do that Oberlo cannot?
Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Oberlo covers Product sourcing, Dropshipping automation, Supplier directory, Order fulfillment.
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