Machine Learning · head to head
Databricks vs Looker

Databricks
Machine Learning
Unified analytics platform for data engineering and data science
- From
- Free
- Rated
- -

Looker
Spreadsheets
Modern business intelligence platform by Google
- 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; Looker no pricing published on website; quote-based model requires contacting Google Cloud sales
- They diverge on capability: Databricks covers Delta Lake, Looker covers LookML Data Modeling.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Databricks and Looker actually diverge.
| Attribute | Databricks | Looker |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | usage-based | Unknown |
| Free tier | Yes | No |
| Platforms | Web, Aws, Azure, Gcp | Web, Cloud (Google Cloud Platform) |
| Category | Machine Learning | Spreadsheets |
| Founded | 2013 | 2008 |
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 Looker
- LookML Data Modeling
- Embedded Analytics
- API Access
- Version Control
- Data Actions
- BigQuery
- Snowflake
- Redshift
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 Looker
- Building a lakehouse over data in cloud object storagenot Looker
- Training and serving machine learning models alongside the datanot Looker
Looker
- Business intelligence and interactive dashboards for data-driven decision makingnot Databricks
- Embedded analytics for integrating BI capabilities into third-party applicationsnot 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
Looker
- No pricing published on website; quote-based model requires contacting Google Cloud sales
- Pricing typically based on user count, deployment type, and feature requirements with no transparency
Pricing, plan by plan
Databricks
Free- Community EditionFree
- Limited cluster
- Notebook environment
- Community support
- Standard$0.07/DBU
- Jobs compute
- SQL compute
- Standard support
Looker
On requestNo published plan breakdown. See the Looker 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.
Choose Looker if
- You need lookml data modeling.
- You work on Web, Cloud (Google Cloud Platform).
- You also want embedded analytics.
Questions people ask
- Is Databricks or Looker better?
- Neither clearly leads. Databricks starts at Free and Looker at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databricks or Looker?
- Databricks has a free tier; the other does not. Paid plans start at Free for Databricks and On request for Looker.
- Does Databricks or Looker run on more platforms?
- Databricks runs on Web, Aws, Azure, Gcp. Looker runs on Web, Cloud (Google Cloud Platform).
- Can I use Databricks for free?
- Yes. Databricks has a free tier, so you can try it without paying. Looker 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 Looker is typically brought in for.
- What can Databricks do that Looker cannot?
- Databricks covers Delta Lake, Apache Spark, MLflow, Unity Catalog. Looker covers LookML Data Modeling, Embedded Analytics, API Access, Version Control. Both handle Web support.
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.
SourceLooker: How much does Looker cost?
Looker does not publish pricing on its website. The platform uses a custom quote model where organizations contact Google Cloud sales for personalized pricing. Pricing is typically based on factors including user count, deployment type (cloud-hosted versus self-hosted), and required feature set.
SourceDatabricks: 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.
SourceLooker: What are Looker's pricing tiers?
Looker offers subscription-based tiers typically including Standard with core BI capabilities, Advanced with enhanced features and integrations, and Premium with enterprise-grade features. Specific pricing and feature distinctions require contacting Google Cloud sales.
SourceDatabricks: 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.
SourceDatabricks: 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.
SourceRelated pages
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- Looker vs Alteryx
- Looker vs IBM SPSS
- Looker vs Palantir Foundry
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- Looker vs ClearML
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- Looker vs Fal AI
- Looker vs BigQuery ML
- Looker vs Metabase
- Looker vs Apache Superset
- Looker vs Tableau
- Looker vs Redash
- Looker vs Equals
- Looker vs Sigma Computing
- Looker vs NocoDB
- Looker vs Fibery
- Looker vs Baserow
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