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Machine Learning · head to head

Databricks vs Terraform

Databricks logo

Databricks

Machine Learning

Unified analytics platform for data engineering and data science

From
Free
Rated
-
Full reviewWebsite
Terraform logo

Terraform

Technology

Automate infrastructure on any cloud

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; Terraform hCL syntax requires learning a domain-specific language with limited GUI alternatives
  • They diverge on capability: Databricks covers Delta Lake, Terraform covers Infrastructure as code.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Databricks and Terraform actually diverge.

Attributes where Databricks and Terraform differ
AttributeDatabricksTerraform
Pricing modelusage-basedUnknown
PlatformsWeb, Aws, Azure, GcpLinux, macOS, Windows
CategoryMachine LearningTechnology
Founded20132012

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

Only in Terraform

  • Infrastructure as code
  • Resource graph
  • Plan & apply
  • State management
  • Provider ecosystem
  • Modules
  • Workspaces
  • Remote backends

Both cover

  • AWS
  • Azure

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

Terraform

  • Multi-cloud provisioningnot Databricks
  • Infrastructure automationnot Databricks
  • Environment replicationnot Databricks
  • Disaster recoverynot Databricks
  • Compliance automationnot 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

Terraform

  • HCL syntax requires learning a domain-specific language with limited GUI alternatives
  • State file management is complex, especially at scale with multiple workspaces
  • terraform import workflow is fiddly and must be done one resource at a time
  • No native error handling or try-catch capabilities like traditional programming languages
  • No automatic rollback capability - must manually delete and re-run if needed

Pricing, plan by plan

Databricks

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

Terraform

Free

No published plan breakdown. See the Terraform 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 Terraform if

  • You need infrastructure as code.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want resource graph.
Terraform review

Questions people ask

Is Databricks or Terraform better?
Neither clearly leads. Databricks starts at Free and Terraform at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databricks or Terraform?
Databricks starts at Free and Terraform at Free.
Does Databricks or Terraform run on more platforms?
Databricks runs on Web, Aws, Azure, Gcp. Terraform runs on Linux, macOS, 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 Terraform is typically brought in for.
What can Databricks do that Terraform cannot?
Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Terraform covers Infrastructure as code, Resource graph, Plan & apply, State management. Both handle AWS, Azure.

Answered from the vendors’ own pages

Databricks: How is Databricks priced?

Databricks bills pay as you go with no up front cost, charging per second for the products used. Consumption is measured in Databricks Units, a normalised unit of processing power on the platform.

Source
Terraform: Is there a free tier?

Yes. The free tier supports up to 500 managed resources and 1 concurrent run. The legacy free tier ends March 31, 2026; remaining organizations auto-convert to the enhanced free tier.

Source
Databricks: Does Databricks publish a per DBU price?

Not on its main pricing page. Rates vary by product and instance type, and Databricks directs buyers to individual product pricing pages and a calculator rather than listing a single figure.

Source
Terraform: What clouds does Terraform support?

Terraform supports AWS, Microsoft Azure, Google Cloud Platform, Oracle Cloud, Docker, and HashiCorp's own HCP Terraform managed service, with over 2000 providers available.

Source
Databricks: Does the Databricks price include cloud costs?

No. Databricks states that if you configure it to work with your own cloud account, your cloud provider still charges you separately for the underlying resources.

Source
Terraform: Do I need HCP Terraform Cloud or can I run locally?

Terraform runs locally by default, storing state on your machine. For team collaboration and production use, remote backends like S3, Azure Storage, or HCP Terraform are recommended for locking and security.

Source
Databricks: Can I get a discount on Databricks?

Databricks offers Committed Use Contracts, where larger usage commitments earn greater benefits, including options to use commitments flexibly across multiple clouds.

Source
Terraform: Is HCL hard to learn?

HCL is designed to be human-readable and sits between JSON and YAML. It supports comments, variables, functions, and conditional logic. While beginners can get started quickly, mastering advanced features takes practice.

Source
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