pumaDB vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-08-23
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At a glance

DimensionpumaDBSpider Cloud
PricingFreemium; free tier: 20 tables, 1K rows/table; no paid tiers mentionedFreemium; pay-as-you-go ~$0.03 per 1K pages; AI Studio add-on $6/mo
Core UsePersistent memory / structured JSON storage for AI agentsWeb crawling & scraping for AI agents (RAG, LLMs)
Key FeatureMCP + REST API, automatic version history, natural language editRust engine, Browser AI commands (Act/Extract/Observe), 1K+ scraper catalog
IntegrationsChatGPT, Claude, Codex, OpenClawLangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, S3, GCS, Supabase
Best ForLightweight agent memory and handoffHigh-volume, real-time web data extraction
LimitationsNo relational DB, 25MB total, no browser-side usageNot for simple one-off tasks or extreme anti-bot

Choose Spider Cloud if your AI agent needs fresh, structured web data at scale with low cost and rich integrations. Choose pumaDB if your priority is simple, schema-less persistent memory for agent state, handoffs, and notes without database overhead. They solve different problems: one feeds data in, the other stores it.

Try pumaDBTry Spider Cloud
pumaDB
pumaDB

Shared memory API for AI agents — no database setup.

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Spider Cloud
Spider Cloud

AI web scraping API that turns any site into markdown or JSON for AI agents, pay-as-you-go or flat-rate.

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Pricing
Freemium
Freemium
Plans
$0/mo
$99/month
Custom
$0
$1/GB
$40/mo
$6/mo
Popularity
2 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
APIWeb
WebAPICLI
Categories
🧠 Agent Memory & Runtimes🔌 MCP Servers & Agent Tooling
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
MCP (Model Context Protocol) support for agent clients
REST API for server-side applications with bearer tokens
Email OAuth authentication for MCP clients
Automatic version history (last 10 versions, retained 30 days)
Consolidated remember MCP tool with safety metadata
Batch operations and upsert endpoints
Row-level restore from archived versions
Short-lived shareable links for rows, queries, and large text
API key management for multiple environments
Natural edit with filtered updates via plain language
Scoped table limits (20 tables, 1,000 rows per table on free tier)
Per-key rate limits (30 writes, 60 reads per minute)
Viewer links for large text and result sets
Supports Streamable HTTP MCP clients (Codex, ChatGPT, Claude, OpenClaw)
Shared org tables for team collaboration (Pro plan)
Scrape any website into markdown or JSON
Full-site crawling at 100K+ pages/sec
SERP, scraping, and extraction in one Web Search API call
Silk custom AI model for HTML-to-structured-data and captcha solving
Browser Cloud with CDP control and AI commands via WebSocket
Supports HTML, raw, plain text, JSON, JSONL, CSV, and XML
Stealth browser layer to bypass anti-bot measures
1,000+ ready-made scraper examples across 32 categories
10,000 core API requests per minute by default
Flat-rate Unlimited plan and pay-as-you-go with no expiry
Rust engine for performance
Robots.txt compliance on by default, disable per-request
Native integrations for LangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno
Integrations
ChatGPT
Claude
Codex
OpenClaw
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: pumaDB 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.

pumaDB

7 mentions across 1 sources · 75% positive

Product Hunt

What users praise

  • • Dead simple setup: no database project or schema design needed.
  • • MCP and REST APIs make integration with ChatGPT and Claude trivial.
  • • Automatic version history for all updates and deletes.
  • • Consolidated 'remember' MCP tool with safety metadata.

What frustrates them

  • • No automatic memory capture—agents must explicitly save state.
  • • Memory inspection and correction tools are unaddressed by builder.
  • • Limited community presence outside Product Hunt launch thread.
  • • Free tier table/row limits may not suit serious production workloads.

Researched Jul 2, 2026

Spider Cloud

41 mentions across 2 sources · 10% positive — critical

YouTube, Lemmy

What users praise

  • • One endpoint for scraping, crawling, search, and browser automation.
  • • Converts sites to markdown, JSON, JSONL, CSV, XML—flexible outputs.
  • • Rust engine and stealth browser claim strong anti-bot bypass.
  • • Silk AI model handles captchas and HTML-to-structured data on GPUs.

What frustrates them

  • • No real user reviews to validate performance or reliability.
  • • Brand name confuses with Spider-Man, hurting discoverability.
  • • Pricing details are vague—hidden costs may apply.
  • • Learning curve for non-developers could be steep.

Researched Aug 18, 2026

Who should pick which

  • Solo founder building an AI research agent
    Pick: Spider Cloud

    Needs real-time web data for answering queries; Spider Cloud’s scraping API and browser commands fetch fresh content efficiently.

  • Developer adding persistent memory to a Claude agent
    Pick: pumaDB

    pumaDB’s MCP integration with Claude enables storing notes, handoffs, and state across sessions without setting up a database.

  • Team building a RAG pipeline with LangChain
    Pick: Spider Cloud

    Spider Cloud integrates natively with LangChain and provides structured output suitable for indexing into a vector store.

  • Startup prototyping an agent handoff system
    Pick: pumaDB

    pumaDB’s lightweight JSON storage with version history is ideal for passing context between agents without overhead.

  • Enterprise needing to scrape 10M pages/month
    Pick: Spider Cloud

    Spider Cloud’s Rust engine and bulk data connectors handle high volume at low cost; pumaDB’s 1K row limit would be insufficient.

Frequently Asked Questions

pumaDB vs Spider Cloud: which should you choose?

Choose Spider Cloud if your AI agent needs fresh, structured web data at scale with low cost and rich integrations. Choose pumaDB if your priority is simple, schema-less persistent memory for agent state, handoffs, and notes without database overhead. They solve different problems: one feeds data in, the other stores it.

Can Spider Cloud and pumaDB be used together?

Yes. Spider Cloud fetches web data, and pumaDB stores structured results or agent state.

Does Spider Cloud support real-time crawling?

Yes, via its API and Browser AI WebSocket commands (Act, Extract, Observe).

Does pumaDB support authentication for MCP clients?

Yes, via email OAuth for MCP and bearer tokens (puma_live_* keys) for REST API.

What is the maximum storage in pumaDB?

Free tier: 20 tables, 1,000 rows per table, with a total database limit of 25MB.

Does Spider Cloud offer a self-hosted option?

Its open-source core is available on GitHub, so partial self-hosting is possible.

Can pumaDB handle batch updates?

Yes, it provides batch operations and upsert endpoints.

How does Spider Cloud handle anti-bot measures?

It includes an Unblocker with rotating proxies and automatic retries, plus a Silk AI model for captcha solving.

Is pumaDB suitable for high-traffic production?

Not recommended; it is designed for lightweight agent memory, not high concurrency.

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Explore each tool further

pumaDB
View pumaDB reviewpumaDB alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Agent Memory & Runtimes toolsBest AI Web Scraping & Search APIs toolsBest AI MCP Servers & Agent Tooling toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 2, 2026