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DataboxAgentic analytics platform that helps you analyze, report, and act on performance, automatically
vs
LookerAgentic business intelligence and embedded analytics on Google Cloud
Comparison · Business Intelligence · weekly run Nov 2

Databox vs Looker

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Looker is the stronger AI pick in Business Intelligence: it has a visibility score of 29.8 versus 2 for Databox, and ranks ahead in 0% of the answers that name both.

Choose Databox if…

  • AI answers describe it more positively (67% vs 30% positive)
  • You need GDPR or SOC 2 Type 1 coverage
  • Permanent free tier rather than temporary trial
  • Clearly advertised 20% annual discount

Choose Looker if…

  • You want the brand AI engines rank higher (29.8 vs 2)
  • You need SOC 2 or ISO 27001 or FedRAMP or HIPAA coverage
  • Governed semantic layer and metric consistency
  • Strong integration with Google Cloud, BigQuery and Workspace

AI visibility side by side

Latest weekly run · Nov 2

Metric Databox Looker
Visibility score2%29.8%
Change vs last weekNewNew
Rank in Business Intelligence#24#3
Share of voice0.5%8.1%
Mentions this run342
Positive in AI answers67%30%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 2Databox 2%

Databox 0pp · Looker 0pp over 0 weekly runs.

Engine by engine

Looker leads on 3 of 3 engines

ChatGPT
4.8%
37.2%
AI Mode
1.3%
28.5%
Perplexity
0%
23.5%
DataboxLooker

Head to head in AI answers

1 engine answers name both brands

1Databox ranked higher
0Looker ranked higher

Features, pricing & fit

DimensionDataboxLooker
Pricing modelFlat tiers—
Entry priceFree; paid from $71 / mo—
Free planYes—
DeploymentCloud-hosted SaaSGoogle Cloud
Integrations130+—
ComplianceGDPR, SOC 2 Type 1SOC 2, ISO 27001, FedRAMP, HIPAA
SupportChat and email support, Help center, Implementation services—
Founded2012—
HeadquartersBoston, MA, United States—
Employees51–200—
FundingSeries A (listed by CB Insights, undisclosed investors)Series E · $280M raised
Best forAgencies managing performance across many clients, and growing businesses that want analyst-level answers from one governed set of metrics.—

Plans side by side

Databox

Free$0month
Analyst$71month, billed annually
Team Core$199month, billed annually
Team Scale$319month, billed annually
Agency$79month, billed annually, plus account packs
CustomCustomcontact sales
Databox pricing

Looker

Pricing not available.

Pros and cons

Themes from the AI answers that mention each brand

Databox

  • Permanent free tier rather than temporary trial
  • Clearly advertised 20% annual discount
  • Free tier limited by user or data-row caps

Looker

  • Governed semantic layer and metric consistency
  • Strong integration with Google Cloud, BigQuery and Workspace
  • Developer-centric data modeling via LookML
  • Around 4.5 out of 5 stars on Gartner Peer Insights
  • Quote-only enterprise pricing starting above $60,000 a year
  • Poor fit for NoSQL-heavy data stacks or standalone embedded needs
  • Less suited to teams using macOS without virtual machines

Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

Cite as: SlateIndex, “Databox vs Looker”, https://slateindex.ai/compare/databox-vs-looker, data of Nov 2, 2026. Licence: CC BY 4.0.