Softwr

Machine Learning & Data Science · head to head

Databricks vs DEAR Inventory

Databricks logo

Databricks

Machine Learning & Data Science

Unified analytics platform for data engineering and data science

From
Free
Rated
-
DEAR Inventory logo

DEAR Inventory

Inventory Management

Complete inventory and order management system

From
On request
Rated
-

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; DEAR Inventory dEAR Inventory is now sold as Cin7 Core with four named tiers (Standard, Pro, Advanced, Omni) but no dollar figures are published, only an ROI calculator
  • They diverge on capability: Databricks covers Delta Lake, DEAR Inventory covers Inventory management.

Where they differ

Only the attributes on which Databricks and DEAR Inventory actually diverge.

Attributes where Databricks and DEAR Inventory differ
AttributeDatabricksDEAR Inventory
Starting priceFreeOn request
Pricing modelusage-basedsubscription
Free tierYesNo
PlatformsWeb, Aws, Azure, GcpWeb, Mobile app, Cloud-based
CategoryMachine Learning & Data ScienceInventory Management

Identical on both: user rating (Not yet rated), founded (2013).

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 DEAR Inventory

  • Inventory management
  • Manufacturing
  • Purchase orders
  • Sales orders
  • Accounting
  • Xero
  • QuickBooks
  • Shopify

Both cover

  • Web support

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

DEAR Inventory

  • Manufacturing managementnot Databricks
  • Order processingnot Databricks
  • Stock controlnot Databricks
  • Financial integrationnot 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

DEAR Inventory

  • DEAR Inventory is now sold as Cin7 Core with four named tiers (Standard, Pro, Advanced, Omni) but no dollar figures are published, only an ROI calculator

Pricing, plan by plan

Databricks

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

DEAR Inventory

On request
  • Standard$249/month
    • Core features
    • 5 users
    • Standard support
  • Professional$449/month
    • Advanced manufacturing
    • 10 users
    • Priority support
  • Enterprise$849/month
    • Full features
    • Unlimited users
    • Dedicated support

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 DEAR Inventory if

  • You need inventory management.
  • You work on Web, Mobile app, Cloud-based.
  • You also want manufacturing.

Questions people ask

Is Databricks or DEAR Inventory better?
Neither clearly leads. Databricks starts at Free and DEAR Inventory at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databricks or DEAR Inventory?
Databricks has a free tier; the other does not. Paid plans start at Free for Databricks and On request for DEAR Inventory.
Does Databricks or DEAR Inventory run on more platforms?
Databricks runs on Web, Aws, Azure, Gcp. DEAR Inventory runs on Web, Mobile app, Cloud-based.
Can I use Databricks for free?
Yes. Databricks has a free tier, so you can try it without paying. DEAR Inventory 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 DEAR Inventory is typically brought in for.
What can Databricks do that DEAR Inventory cannot?
Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. DEAR Inventory covers Inventory management, Manufacturing, Purchase orders, Sales orders. Both handle Web support.

Related pages

Other head to heads