ShannonBase vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-08
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At a glance

DimensionShannonBaseSpider Cloud
Best ForMySQL users needing unified TP/AP with ML/LLMAI agents and RAG pipelines needing web data
Key FeatureIn-database ML (LightGBM) and LLM inferenceRust-powered crawling with AI extraction and anti-detection
IntegrationMySQL ecosystem tools and middlewareLangChain, LlamaIndex, CrewAI, S3, GCS, Supabase
Latest NewsNo recent newsBrowser AI commands, scraper catalog, data connectors (Feb–Mar 2026)
Language SupportMulti-language (MySQL compatible)API-based, language-agnostic

Choose ShannonBase if you're a MySQL shop that wants a single database for transactions, analytics, and on-database ML/LLM – it cuts stack complexity. Choose Spider Cloud if you need fast, reliable web data for AI agents or RAG – its Rust engine, anti-detection, and AI-powered extraction are purpose-built for that. They solve different problems: data storage vs. data ingestion.

Try ShannonBaseTry Spider Cloud
ShannonBase
ShannonBase

Open-source MySQL 8.4-compatible HTAP database with an in-memory column store, in-database ML, vector search, and an in-kernel agent runtime.

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Spider Cloud
Spider Cloud

Spider Cloud is a web scraping and crawling API that turns live pages into markdown or JSON for agents and RAG pipelines.

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Pricing
Freemium
Freemium
Plans
$0/mo
$19/mo
Custom
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
18 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
APICLI
WebAPIPluginCLIDesktop
Categories
⚙️ Developer Infrastructure
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
HTAP: transactional and analytical workloads on one MySQL 8.4-compatible engine
Rapid in-memory column store as a secondary engine with cost-based per-query routing
MySQL 8.4 wire compatible — existing drivers, ORMs, and mysqldump files keep working
Real-time propagation from InnoDB to the column store via redo log plus DML notifications
Native VECTOR type with ART index and in-process embedding generation
Vector similarity search via ORDER BY vector_distance(v, ?) in standard SQL
In-database model training and prediction from SQL using LightGBM and ONNX Runtime
Local LLM generation with retrieval-augmented generation (RAG) called from SQL via sys.shannon_chat
In-kernel JavaScript agent runtime and system agent with in-process SQL bridge
Human approval workflow required before any agent write commits
Durable agent approval workflow — plan rows commit independently of the approval wait (30 Jul 2026)
Vectorized hash join with SIMD-accelerated batched build and probe phases in Rapid (14 Aug 2026)
MVCC version linking in the column store for concurrent scans and transactions
Docker deployment — single container, no external dependencies
Open source under GPL v2, source and docs on GitHub
Scrape a single page into markdown, JSON, HTML, raw text, or plain text
Crawl entire sites with each page streamed as one JSONL line in order the moment it finishes
Web search endpoint returns SERP results plus the scraped pages behind them in one call
Custom browser renders like a user: scripts run, lazy images load, infinite scroll completes
Unblocker loads protected pages through a real browser engine with geo checks and a 200
Browser Cloud runs full sessions 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 the 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
Requests stream back as they land, in order, without waiting for the last URL
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
Integrations
mysql-connector
JDBC
Go sql-driver
SQLAlchemy
Prisma
mysqldump
ProxySQL
Canal
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: ShannonBase 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.

ShannonBase

11 mentions across 3 sources · 67% positive (averaged across 3 sources)

Hacker News, Product Hunt, GitHub

What users praise

  • • 100% MySQL compatible, enabling zero-code migration.
  • • Native ML and LLM inference directly in the database.
  • • JavaScript stored functions allow building AI agents natively.
  • • Cost-based and ML-based optimizer improves query performance.

What frustrates them

  • • Very limited independent community feedback and real-world validation.
  • • Documentation and support quality are unclear due to early stage.
  • • Potential performance bottlenecks at scale not yet demonstrated.
  • • JavaScript agent feature may introduce security and complexity risks.

Researched Jul 3, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Oct 7, 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

  • MySQL DBA moving to HTAP
    Pick: ShannonBase

    100% MySQL compatibility, no code changes, plus real-time analytics and in-database ML/LLM.

  • AI agent developer needing web data
    Pick: Spider Cloud

    API-first, Rust-fast, AI extraction, and integrations with LangChain/LlamaIndex for RAG.

  • Data team building a unified platform
    Pick: ShannonBase

    Unifies TP, AP, and AI in one database, reducing stack complexity and data movement.

  • Startup with low budget for scraping
    Pick: Spider Cloud

    Free tier + low per-page cost; open-source core available for self-hosting.

  • Enterprise needing strict MySQL compatibility
    Pick: ShannonBase

    Drop-in MySQL replacement with added HTAP and ML capabilities, no lock-in.

Frequently Asked Questions

ShannonBase vs Spider Cloud: which should you choose?

Choose ShannonBase if you're a MySQL shop that wants a single database for transactions, analytics, and on-database ML/LLM – it cuts stack complexity. Choose Spider Cloud if you need fast, reliable web data for AI agents or RAG – its Rust engine, anti-detection, and AI-powered extraction are purpose-built for that. They solve different problems: data storage vs. data ingestion.

Can ShannonBase replace MySQL without code changes?

Yes, it's 100% MySQL compatible, so existing queries and tools work transparently.

Does Spider Cloud support self-hosting?

Yes, the core open-source version can be self-hosted; cloud offers additional features like AI Studio.

Which tool is better for RAG pipelines?

Spider Cloud is ideal for fetching fresh web data; ShannonBase can store and serve that data with vector support for retrieval.

Can ShannonBase run LLM inference?

Yes, via ONNXRuntime integration – you can run LLMs directly on the database for tasks like classification or RAG.

Does Spider Cloud have anti-detection measures?

Yes, it uses stealth browser tech (Browser Cloud) and rotating proxies to avoid blocks.

What is the pricing of ShannonBase?

Community edition is free; cloud pricing has not been announced yet.

Can Spider Cloud output structured data?

Yes, supports markdown, HTML, JSON, CSV, XML, and plain text.

Which tool is more suitable for transactional workloads?

ShannonBase – it's an HTAP database with full ACID compliance, while Spider Cloud is only for data ingestion.

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Explore each tool further

ShannonBase
View ShannonBase reviewShannonBase alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Developer Infrastructure toolsBest AI Web Scraping & Search APIs toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 3, 2026