BigQuery logo

BigQuery

Serverless data warehouse at any scale

vs
Looker logo

Looker

Data that drives decisions

BigQuery vs Looker: Full Comparison (2026)

Pricing, features, scores, and a clear verdict on which one is right for you.

The bottom line

BigQuery positions itself as "serverless data warehouse at any scale" while Looker goes after "data that drives decisions" — so the right pick depends on which problem you're actually solving. They take different commercial approaches — BigQuery uses a usage-based-based model and Looker a enterprise-based model, which affects how costs scale as your team grows. BigQuery lets you start for free, which means you can validate the fit before committing budget. Looker requires a paid commitment upfront, so make sure it matches your workflow before signing.

At a glance

BigQueryLooker
Our score86/10083/100
Starting priceFreeFree
Free tierYesNo
Best forServerless data warehouse at any scaleData that drives decisions

Pricing comparison

BigQuery logo

BigQuery

Free tier available
On-demandFree
Capacity$null/mo

Pricing verified 2026-04-16

Looker logo

Looker

No free tier
Standard$null/mo
Enterprise$null/mo

Pricing verified 2026-04-16

Calculate your cost

10,000
1001,000,000
BigQuery logo
BigQueryUnknown
Contact sales
Looker logo
LookerUnknown
Contact sales

Feature comparison

core

FeatureBigQueryLooker
Columnar storageYesNo
ServerlessYesNo
ML functionsYesNo
GIS analyticsYesNo
Federated queriesYesNo
LookML modelingNoYes
DashboardsNoYes
ExploresNoYes
Scheduled deliveriesNoYes
AlertsNoYes

advanced

FeatureBigQueryLooker
BigQuery MLYesNo
Omni (multi-cloud)YesNo
Data sharingYesNo
Row-level securityYesNo
BI EngineYesNo
dbt integrationNoYes
Git-based version controlNoYes
Embedded analyticsNoYes
BigQuery BI EngineNoYes
Looker Studio ProNoYes

integrations

FeatureBigQueryLooker
LookerYesNo
dbtYesYes
FivetranYesNo
DataflowYesNo
Vertex AIYesNo
BigQueryNoYes
SnowflakeNoYes
RedshiftNoYes
JiraNoYes

Ratings breakdown

BigQuery

Ease of use
8/10
Value for money
9/10
Features
9/10
Support
8/10

Looker

Ease of use
6/10
Value for money
6/10
Features
9/10
Support
8/10

What the data tells us

Key capabilities you'd miss

Choosing BigQuery means going without LookML modeling, Dashboards, Explores (which Looker offers). Choosing Looker means losing Columnar storage, Serverless, ML functions. These are the features that typically drive the final decision — check whether your workflow depends on any of them before committing.

What company size tells you

Looker (1001-5000 employees) has the engineering bench to ship features across many fronts but may iterate slower on individual requests. BigQuery (10000+ employees) typically ships faster on its core product but may lag on peripheral features. Consider which matters more for your roadmap.

Choose BigQuery if...

  • You want a free tier to get started
  • You value an intuitive, easy-to-use interface
  • Getting strong value for money is a priority
Try BigQuery free

Choose Looker if...

  • You're ready to invest from $null/mo
  • You value powerful features over simplicity
  • You need enterprise-grade capabilities
Visit Looker

Frequently asked questions

Is BigQuery or Looker better?

BigQuery scores 86/100 compared to Looker's 83/100 on VendorVS. However, the best choice depends on your needs — BigQuery excels at ease of use (8/10) while Looker scores 6/10.

How much does BigQuery cost compared to Looker?

BigQuery starts at free (free tier available). Looker starts at free. BigQuery is the more affordable option.

Does BigQuery or Looker have a free plan?

BigQuery offers a free tier. Looker does not — its cheapest plan starts at $null/mo.

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