LangGraphLow-level orchestration framework and runtime for long-running, stateful agents.
vs
PostgreSQLThe world's most advanced open source database
Comparison · AI Agents · weekly run Nov 3
LangGraph vs PostgreSQL
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 2.3 for PostgreSQL, and ranks ahead in 67% of the answers that name both.
Choose LangGraph if…
- You want the brand AI engines rank higher (24.4 vs 2.3)
- AI answers describe it more positively (44% vs 35% positive)
- You need a self-hosted or on-premises option
- You need SOC 2 Type II or ISO 27001:2022 or GDPR or HIPAA coverage
Choose PostgreSQL if…
- Free open-source software
- Adds vector search to an existing PostgreSQL database without a new database
- Wide compatibility with drivers, BI tools, and language ecosystems
- Broad deployment and transparent self-hosted pricing
AI visibility side by side
Latest weekly run · Nov 3
| Metric | LangGraph | PostgreSQL |
|---|---|---|
| Visibility score | 24.4% | 2.3% |
| Change vs last week | New | New |
| Rank in AI Agents | #4 | #38 |
| Share of voice | 5.3% | 0.8% |
| Mentions this run | 33 | 5 |
| Positive in AI answers | 44% | 35% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
LangGraph 0pp · PostgreSQL 0pp over 0 weekly runs.
Engine by engine
LangGraph leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
LangGraphPostgreSQL
Head to head in AI answers
3 engine answers name both brands
2LangGraph ranked higher
1PostgreSQL ranked higher
| Prompt | Engine | LangGraph | PostgreSQL |
|---|---|---|---|
| How do companies build and deploy AI agents that automate work without a dedicated tool? | ChatGPT | #7 | #4 |
| How do companies build and deploy AI agents that automate work without a dedicated tool? | AI Mode | #3 | #5 |
| What are the best AI Agents tools in 2026? | ChatGPT | #2 | #12 |
Features, pricing & fit
| Dimension | LangGraph | PostgreSQL |
|---|---|---|
| Deployment | SaaS in US and EU regions, plus self-hosted and hybrid options available on Enterprise only. | — |
| Compliance | SOC 2 Type II, ISO 27001:2022, GDPR, HIPAA | — |
| Support | — | Community mailing lists, Community events and local user groups |
| Headquarters | San Francisco | United States |
| Employees | — | 51–200 |
| Funding | Series B | — |
| Best for | Teams 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
PostgreSQL
- Free open-source software
- Adds vector search to an existing PostgreSQL database without a new database
- Wide compatibility with drivers, BI tools, and language ecosystems
- Broad deployment and transparent self-hosted pricing
- Hosting, backups, and maintenance must be paid for when self-hosted
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “LangGraph vs PostgreSQL”, https://slateindex.ai/compare/langgraph-vs-postgresql, data of Nov 3, 2026. Licence: CC BY 4.0.