Dbhub vs Spider Cloud

Spider Cloud's toolset is entirely about acquisition: single-page scrape to markdown/JSON/HTML/raw text, site-wide crawl streaming JSONL as pages finish, a web search endpoint that returns SERP results plus scraped pages plus AI extraction in one call, and a Browser Cloud for full sessions with stealth and CAPTCHA solving on by default. Its differentiation is the anti-blocking stack — 215M+ residential/ISP exits across 199 countries rotated per request, an unblocker for bot walls and geo checks, and Act/Extract/Observe AI commands over the Browser API WebSocket. It also ships an MCP server at mcp.spider.cloud and a spider-agent CLI with SKILL.md for agent self-onboarding, so it lands inside Claude Code, Codex, Cursor and Claude Desktop with little glue. Note the operational burden: the provider router now lets you route requests to outside providers on your own keys, and Unlimited requires the client to handle HTTP 429 and back off itself, because nothing is queued server-side. DBHub does the opposite job with deliberate restraint. It loads two tools by default (execute_sql, search_objects) at roughly 1.4k tokens, with explain_sql and health_check opt-in, and Custom Tools for reusable parameterized SQL. It supports PostgreSQL, MySQL, SQL Server, MariaDB and SQLite through multi-connection TOML in one process, with SSH tunneling and SSL/TLS. Guardrails — read-only mode, row limiting, timeouts — exist to keep queries contained in production. Version 1.0.0 adopts the 2026-07-28 MCP spec with a stateless model and cacheable tool lists. It is explicitly not a GUI client, not CDC, and carries no vendor SLA.

DBHub's price is unambiguous: free, MIT-licensed, zero-dependency, distributed via Docker or NPM. There is no request metering and no proxy cost, because the only thing being consumed is your own database capacity and context window — and DBHub is openly optimized for the latter, loading ~1.4k tokens of tools versus 19.0k for MCP Toolbox's 28 defaults and 19.3k for Supabase MCP's full set, per the vendor's own comparison. On a large mixed database fleet, consolidating several per-engine MCP servers into one process is a real reduction in both token spend and maintenance. Spider Cloud is freemium with a structural split worth understanding before you commit: pay-as-you-go for metered per-request billing, and an Unlimited tier that sells flat-rate concurrency instead. The traps are listed by the vendor itself — the residential/ISP proxy pools and AI extraction are not bundled into base request pricing and bill separately, and geo-targeting is not yet available on Unlimited, so geo-fenced crawls must stay on pay-as-you-go. For high-volume crawls where metered billing punishes you, Unlimited concurrency is the reason to pick Spider over per-request competitors. The honest comparison of the two price lines is that DBHub's cost is what you spend configuring it, and Spider's cost scales with how much of the web you touch — including proxies and extraction, which are the expensive parts.