Powabase vs Spider Cloud

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionPowabaseSpider Cloud
Primary UseManaged AI backend with Postgres, RAG, and agent runtimeWeb crawling, scraping, and search API for AI agents
Core TechnologyPostgres + pgvector, RAG pipeline, ReAct agent runtimeRust engine, Browser AI commands, Silk AI model
Integration EaseREST API; works with Claude Code, Codex, Replit, etc.API; integrates with LangChain, LlamaIndex, CrewAI, etc.
Best ForBuilding AI apps with RAG and agents in one backendFeeding real-time web data into RAG or AI agents
Latest NewsBackend for Claude Code blog; Postgres MCP Server comparisonBrowser AI commands; scraper catalog (1,000+ examples); data connectors

Choose Powabase if you need a full-stack AI backend (database + RAG + agents) in one managed service, especially if you build with AI coding agents. Choose Spider Cloud if your primary need is fast, reliable web data extraction for AI agents or RAG pipelines. They complement each other: Spider Cloud can feed data into Powabase's RAG pipeline.

Try PowabaseTry Spider Cloud
Powabase
Powabase

Powabase is a managed Postgres backend for AI apps with RAG, agents, and workflows built in.

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Spider Cloud
Spider Cloud

Spider Cloud is a web scraping, crawling, and search API that streams live pages as markdown or JSON for AI agents and RAG pipelines.

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Pricing
Freemium
Freemium
Plans
$0/mo
$25/mo
$300/mo
Custom
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
4 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPI
WebAPIPluginCLIDesktop
Categories
⚙️ Developer Infrastructure🗄️ Vector Databases & Retrieval🧠 Agent Memory & Runtimes
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Managed Postgres with pgvector, RLS, and dedicated compute per project
Isolated stack per project — own Postgres, Realtime, Storage, no shared logical databases
Extracts, chunks, embeds, and indexes PDFs, images, Office files, and URLs on upload
Multimodal content indexing for document knowledge bases
Built-in OCR rated 91% accuracy on OlmOCR-Bench
Full RAG pipeline rated 98.7% accuracy on FinanceBench
Vector, BM25, hybrid, and tree retrieval with SOTA rerankers included
Sub-100ms warm-cache pgvector lookups on typical RAG payloads
ReAct agent runtime with multi-LLM orchestration
Custom agent tools over HTTP or MCP
Built-in agent tools: web search and code execution
Streaming agent runs over SSE with retrieval events, tool calls, token deltas, citations
Persistent multi-turn sessions with summarization of older turns
Human approval step for sensitive agent tool calls
Visual workflow builder with natural-language copilot
Scrape a single page into markdown, JSON, HTML, raw, or plain text
Crawl entire sites with each page streamed as one JSONL line in order as it finishes
Web search endpoint returns SERP results plus the scraped pages behind them
Custom browser renders like a user: scripts run, lazy images load, infinite scroll reaches the end
Load protected pages through a real browser engine with geo checks, returning a 200
Run full browser sessions over WebSocket with anti-detection and rotating exits
Send AI commands (Act, Extract, Observe) over the Browser API WebSocket
Send a prompt on a scrape or crawl request and get named fields back as JSON
Two-phase AI extraction: a fast model for most pages, a stronger model for complex layouts
Provider router sends scrape and crawl requests to outside providers on your own keys
Data connectors pipe crawl results into S3, GCS, Google Sheets, Azure Blob, or Supabase
Proxy network with 215M+ residential and ISP exits in 199 countries, rotated per request
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
1,000+ ready-made scraper examples across 32 categories, each with working code
API responses support JSON, JSONL, CSV, and XML; up to 10,000 core API requests per minute by default
Integrations
Claude Code
Codex
Cursor
Antigravity
OpenCode
Replit
Lovable
v0
Base44
Bolt.new
StackBlitz
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

Who should pick which

  • Solo founder building an AI-native SaaS
    Pick: Powabase

    Provides Postgres, auth, storage, RAG, and agents out of box—replacing multiple services.

  • Developer building a RAG system needing live web data
    Pick: Spider Cloud

    Spider Cloud efficiently crawls and extracts data from websites to feed into any RAG pipeline.

  • Team using Claude Code or Codex to build apps
    Pick: Powabase

    Powabase is designed as an agent-native backend and integrates seamlessly with these AI coding agents.

  • Data scientist needing large-scale web data for LLM fine-tuning
    Pick: Spider Cloud

    High-speed, low-cost scraping with structured output and 99.9% success rate.

  • AI agent developer needing both backend and web data
    Neither is a clear fit

    Use Spider Cloud to collect data and Powabase to store, index, and run agents—complementary stack.

Frequently Asked Questions

Powabase vs Spider Cloud: which should you choose?

Choose Powabase if you need a full-stack AI backend (database + RAG + agents) in one managed service, especially if you build with AI coding agents. Choose Spider Cloud if your primary need is fast, reliable web data extraction for AI agents or RAG pipelines. They complement each other: Spider Cloud can feed data into Powabase's RAG pipeline.

Can Powabase scrape websites?

It has a built-in web search tool for agents, but it is not a dedicated scraping API like Spider Cloud. For heavy scraping, use Spider Cloud.

Does Spider Cloud offer a database or agent runtime?

No. It is purely a crawling/scraping API. It integrates with external databases like Supabase but does not include its own database or agent runtime.

Which tool is better for building a RAG application from scratch?

Powabase: it includes the entire RAG pipeline (extraction, chunking, embedding, hybrid search) plus a database. Add Spider Cloud if you need live web data fed into that pipeline.

Can I use my own LLM keys with Powabase?

Yes. You can bring keys from OpenAI, Anthropic, Google, or OpenRouter, or pay via Powabase credits.

What's the cost difference for high-volume scraping?

Spider Cloud is very cheap ($0.03/1k pages). Powabase's scraping tool is not designed for high volume; use Spider Cloud for cost-effective bulk scraping.

Does Powabase support PDF extraction?

Yes. Its RAG pipeline supports PDFs, images, Office files, and URLs with OCR.

Does Spider Cloud have open-source alternatives?

Yes. Spider has an open-source core available on GitHub, but the cloud version offers managed scaling and features.

Which integrates better with AI coding agents?

Powabase is explicitly designed for agents like Claude Code, Codex, Replit, etc. Spider Cloud can be called as an agent tool via its API but is not agent-native.

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Explore each tool further

Powabase
View Powabase reviewPowabase alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Developer Infrastructure toolsBest AI Web Scraping & Search APIs toolsBest AI Vector Databases & Retrieval toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 2, 2026