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Databricks vs Fibery

Databricks logo

Databricks

Software

Unified analytics platform for data engineering and data science

From
Free
Rated
-
Full reviewWebsite
Fibery logo

Fibery

Software

Connected workspace for product teams

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Databricks cloud compute is billed separately by the cloud provider on top of Databricks DBU charges; Fibery free plan limited to 10 users and 10 guests
  • They diverge on capability: Databricks covers Delta Lake, Fibery covers Customizable databases.

Where they differ

Only the attributes on which Databricks and Fibery actually diverge.

Attributes where Databricks and Fibery differ
AttributeDatabricksFibery
Pricing modelusage-basedsubscription
PlatformsWeb, Aws, Azure, GcpWeb
Founded20132018

Identical on both: starting price (Free), free tier (Yes), 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 Fibery

  • Customizable databases
  • Bi-directional linking
  • Whiteboards
  • Documents
  • Timelines
  • Formulas
  • Automations
  • API access

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

Fibery

  • Work management and product development platformnot Databricks
  • Relational database with multiple view types (table, board, gallery, timeline, calendar, Gantt)not Databricks
  • Knowledge base and document collaborationnot 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

Fibery

  • Free plan limited to 10 users and 10 guests
  • Free plan limited to 10 databases
  • Enterprise plan requires minimum of 25 paid users
  • SAML SSO available only on Enterprise plan

Pricing, plan by plan

Databricks

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

Fibery

Free

No published plan breakdown. See the Fibery 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 Fibery if

  • You need customizable databases.
  • You want to start without paying.
  • You also want bi-directional linking.
Fibery review

Questions people ask

Is Databricks or Fibery better?
Neither clearly leads. Databricks starts at Free and Fibery at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databricks or Fibery?
Databricks starts at Free and Fibery at Free.
Does Databricks or Fibery run on more platforms?
Databricks runs on Web, Aws, Azure, Gcp. Fibery runs on Web.
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 Fibery is typically brought in for.
What can Databricks do that Fibery cannot?
Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Fibery covers Customizable databases, Bi-directional linking, Whiteboards, Documents. Both handle Web support.
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