Softwr

Inventory Management · head to head

Asset Panda vs Databricks

Asset Panda logo

Asset Panda

Inventory Management

Flexible asset tracking platform

From
On request
Rated
-
Full reviewWebsite
Databricks logo

Databricks

Machine Learning & Data Science

Unified analytics platform for data engineering and data science

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Databricks has a free tier, so it costs nothing to try first.
  • Each has a real cost: Asset Panda pricing is not published; the vendor asks for a demo or a quote; Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges
  • They diverge on capability: Asset Panda covers Custom workflows, Databricks covers Delta Lake.

Where they differ

Only the attributes on which Asset Panda and Databricks actually diverge.

Attributes where Asset Panda and Databricks differ
AttributeAsset PandaDatabricks
Starting priceOn requestFree
Pricing modelsubscriptionusage-based
Free tierNoYes
PlatformsWeb, Mobile app, Cloud-basedWeb, Aws, Azure, Gcp
CategoryInventory ManagementMachine Learning & Data Science
Founded20122013

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 Asset Panda

  • Custom workflows
  • Asset lifecycle
  • Maintenance tracking
  • GPS tracking
  • Salesforce
  • ServiceNow
  • Zendesk
  • Active Directory

Only in Databricks

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

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

Asset Panda

  • IT asset and device tracking through their lifecyclenot Databricks
  • Equipment and tool tracking across sitesnot Databricks
  • Scheduled inspections and maintenance workflowsnot Databricks
  • Fleet and facilities managementnot Databricks
  • Audit readiness and compliance reportingnot Databricks

Databricks

  • Running Spark data engineering pipelines on managed clustersnot Asset Panda
  • Building a lakehouse over data in cloud object storagenot Asset Panda
  • Training and serving machine learning models alongside the datanot Asset Panda

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Asset Panda

  • Pricing is not published; the vendor asks for a demo or a quote

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

Pricing, plan by plan

Asset Panda

On request
  • Standard$50/month
    • 500 assets
    • 5 users
    • Standard support
  • Professional$100/month
    • 2500 assets
    • 15 users
    • Priority support
  • Enterprise$200/month
    • Unlimited assets
    • Unlimited users
    • Dedicated support

Databricks

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

Which should you pick?

Choose Asset Panda if

  • You need custom workflows.
  • You work on Web, Mobile app, Cloud-based.
  • You also want asset lifecycle.
Asset Panda review

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

Questions people ask

Is Asset Panda or Databricks better?
Neither clearly leads. Asset Panda starts at On request and Databricks at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Asset Panda or Databricks?
Databricks has a free tier; the other does not. Paid plans start at On request for Asset Panda and Free for Databricks.
Does Asset Panda or Databricks run on more platforms?
Asset Panda runs on Web, Mobile app, Cloud-based. Databricks runs on Web, Aws, Azure, Gcp.
Can I use Databricks for free?
Yes. Databricks has a free tier, so you can try it without paying. Asset Panda starts at On request.
What is Asset Panda best used for?
Asset Panda is most often used for it asset and device tracking through their lifecycle, equipment and tool tracking across sites, scheduled inspections and maintenance workflows, fleet and facilities management. Of those, it asset and device tracking through their lifecycle and equipment and tool tracking across sites are not what Databricks is typically brought in for.
What can Asset Panda do that Databricks cannot?
Asset Panda covers Custom workflows, Asset lifecycle, Maintenance tracking, GPS tracking. Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Both handle Web support.
ShareXLinkedInRedditWhatsAppEmail

Related pages

More on Asset Panda

More on Databricks

Keep looking

Other head to heads