PgGraph vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | PgGraph | Spider Cloud |
|---|---|---|
| Core Function | In-memory graph queries on existing Postgres data | Web crawling/scraping API for AI agents |
| Engine | Rust-based, lightweight index, no data movement | Rust-based, high-performance scraping engine |
| Integrations | PostgreSQL | LangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, Dify, GCS, S3, Supabase |
| Best For | AI agents needing relational memory, fraud detection, permission checks | AI agents needing real-time web data for RAG and LLM context |
| Not For | Teams needing graph visualization UI or managed cloud | Simple one-off scrapes, projects requiring massive residential proxies |
PgGraph and Spider Cloud solve entirely different problems: PgGraph is a virtual graph layer for querying relationships in your existing Postgres without moving data, while Spider Cloud is a web scraping API for feeding real-time web data into AI agents. Choose PgGraph if you need graph queries on your own database; choose Spider Cloud if you need to extract and structure external web content.
PgGraph turns existing PostgreSQL tables into a traversable graph so multi-hop queries run as index lookups instead of join chains.
Visit Website
Spider Cloud is a web scraping, crawling, and search API that streams live pages as markdown or JSON for AI agents and RAG pipelines.
Visit WebsiteWhat real users say: PgGraph vs Spider Cloud
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
PgGraph
31 mentions across 3 sources · 65% positive (weighted across 3 sources)
Hacker News, YouTube, GitHub
What users praise
- • Turns multi-hop graph traversal into index lookups instead of slow join chains
- • Zero data migration — works on your existing Postgres foreign keys and IDs
- • Rust engine with sub-millisecond target latency and 34x less RAM claim
- • Keeps Postgres as single source of truth — no second data store to sync
What frustrates them
- • shortest_path() missing edge_types filter that expand()/traverse() already support
- • ~21% of per-call overhead spent on duplicate graph resolution, per open issue
- • Docs lack troubleshooting for common new-user errors like missing ::regclass cast
- • Memory footprint for large schemas is an unanswered community question
Researched Sep 23, 2026
Spider Cloud
No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “Spider Cloud”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.
Who should pick which
- AI agent developer using PostgresPick: PgGraph
PgGraph provides agentic memory and multi-hop relationship queries directly on your existing Postgres schema without moving data, ideal for AI agents that need to reason about connected entities like users, orders, and permissions.
- RAG pipeline builderPick: Spider Cloud
Spider Cloud's web scraping API integrates with LangChain, LlamaIndex, and other RAG frameworks, supplying real-time web content as structured data for LLM context enrichment.
- Fraud detection team (fintech)Pick: PgGraph
PgGraph enables real-time multi-hop relationship traversal (e.g., linking accounts, devices, transactions) for fraud pattern detection, with 34x less RAM than traditional graph DBs.
- Developer needing web data for AI agentsPick: Spider Cloud
Spider Cloud's Browser AI commands and 1,000+ scraper examples allow quick extraction of structured web data via natural language or code, with anti-detection and stealth features.
- Platform engineer doing dependency mappingPick: PgGraph
PgGraph's dependency and blast radius analysis leverages Postgres foreign keys to map service dependencies without additional databases or migration.
Frequently Asked Questions
PgGraph vs Spider Cloud: which should you choose?
PgGraph and Spider Cloud solve entirely different problems: PgGraph is a virtual graph layer for querying relationships in your existing Postgres without moving data, while Spider Cloud is a web scraping API for feeding real-time web data into AI agents. Choose PgGraph if you need graph queries on your own database; choose Spider Cloud if you need to extract and structure external web content.
Can I use PgGraph with non-PostgreSQL databases?
No, PgGraph is specifically designed to create a virtual graph layer over PostgreSQL. It requires a Postgres source of truth and does not support other databases.
Does Spider Cloud offer a free tier?
Yes, Spider Cloud has a free tier with limited usage. It also offers pay-as-you-go pricing and an AI Studio add-on for $6/month.
Which tool is better for AI agents that need real-time web data?
Spider Cloud is specifically built for this purpose, with web crawling, scraping, and search APIs that integrate with AI agent frameworks like LangChain and CrewAI.
Can PgGraph replace a traditional graph database like Neo4j?
For use cases requiring graph queries over existing Postgres data without moving it, yes. But it lacks a dedicated storage engine, UI visualization, and is not a full graph database replacement.
Does Spider Cloud support JavaScript-rendered pages?
Yes, Spider Cloud's Browser Cloud provides stealth anti-detection and can render JavaScript. The Browser AI commands also allow interaction (click, type) with dynamic pages.
Is PgGraph open source?
Yes, PgGraph is open source with an API for integration. You can self-host it on your infrastructure.
How does PgGraph achieve low memory usage?
It creates an in-memory index of relationship keys (IDs, foreign keys) without copying row data, claiming 34x less RAM than traditional graph databases.
Does Spider Cloud offer data connectors?
Yes, as of February 2026, Spider Cloud added data connectors to pipe crawl results to S3, GCS, Google Sheets, Azure Blob, and Supabase.
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Last reviewed: July 3, 2026