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SlateIndex
LangGraphLow-level orchestration framework and runtime for long-running, stateful agents.
vs
LookerAgentic business intelligence and embedded analytics on Google Cloud
Comparison · AI Agents · weekly run Nov 3

LangGraph vs Looker

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

The short answer

LangGraph is the stronger AI pick in AI Agents: it has a visibility score of 24.4 versus 10.4 for Looker, and ranks ahead in 40% of the answers that name both.

Choose LangGraph if…

  • You want the brand AI engines rank higher (24.4 vs 10.4)
  • AI answers describe it more positively (44% vs 30% positive)
  • You need a self-hosted or on-premises option
  • You need SOC 2 Type II or ISO 27001:2022 or GDPR coverage

Choose Looker if…

  • You need SOC 2 or ISO 27001 or FedRAMP coverage
  • Governed semantic layer and metric consistency
  • Strong integration with Google Cloud, BigQuery and Workspace
  • Developer-centric data modeling via LookML

AI visibility side by side

Latest weekly run · Nov 3

Metric LangGraph Looker
Visibility score24.4%10.4%
Change vs last weekNewNew
Rank in AI Agents#4#13
Share of voice5.3%2.5%
Mentions this run3317
Positive in AI answers44%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 3LangGraph 24%

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

Engine by engine

LangGraph leads on 3 of 3 engines

ChatGPT
20%
16.1%
AI Mode
35.4%
11.5%
Perplexity
18%
3.5%
LangGraphLooker

Head to head in AI answers

10 engine answers name both brands

4LangGraph ranked higher
6Looker ranked higher

Features, pricing & fit

DimensionLangGraphLooker
DeploymentSaaS in US and EU regions, plus self-hosted and hybrid options available on Enterprise only.Google Cloud
ComplianceSOC 2 Type II, ISO 27001:2022, GDPR, HIPAASOC 2, ISO 27001, FedRAMP, HIPAA
HeadquartersSan Francisco—
FundingSeries BSeries E · $280M raised
Best forTeams building long-running, stateful AI agents.—

Pros and cons

Themes from the AI answers that mention each brand

LangGraph

  • Production standard for stateful, multi-agent workflows
  • Strong engineering control for complex, cyclical agent logic
  • Widely adopted open-source developer framework
  • Best choice for autonomous AI agents
  • Heavy developer framework that requires coding effort

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, “LangGraph vs Looker”, https://slateindex.ai/compare/langgraph-vs-looker, data of Nov 3, 2026. Licence: CC BY 4.0.