PlanetScale 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

DimensionPlanetScaleSpider Cloud
CategoryManaged Postgres & Vitess MySQL (database)Web scraping/crawl API for agents & RAG
Pricing modelFreemium — usage-based; Enterprise multi-region SLAFreemium — pay-as-you-go + flat-rate Unlimited (geo targeting not on Unlimited)
Killer featureBranch-per-environment with deploy requests & online schema changesCrawl whole sites streamed as JSONL; unblocker + CAPTCHA handling
Storage/perf basisLocally-attached NVMe, unlimited IOPS; 99.99% single-region SLAOwn browser + 215M+ residential/ISP exits across 199 countries
Notable integrationsTerraform, PgBouncer, AWS/GCP Marketplace, MCPLangChain, LlamaIndex, CrewAI, Zapier, Claude Code, Cursor, MCP
Recent moveNeki (sharded Postgres) extensions via Terraform/CLI; per-shard Vitess sizingProvider router in scrape/crawl bodies routes to outside providers on your keys
PlanetScale
PlanetScale

PlanetScale: managed Vitess and Neki for horizontal sharding plus Postgres with NVMe speed

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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
Paid
Freemium
Plans
From $5/mo
From $50/mo
Resource-based
Resource-based (custom quote)
Resource-based (custom quote)
Custom
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
21 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebCLIAPI
WebAPIPluginCLIDesktop
Categories
⚙️ Developer Infrastructure
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Fully managed PostgreSQL clusters on AWS, GCP, and Azure
Vitess for MySQL-compatible horizontal sharding via a single VTGate connection
Neki for Postgres horizontal sharding
PlanetScale Metal on locally-attached NVMe with unlimited IOPS
High availability: 1 primary + 2 replicas across 3 availability zones
Automated failover with buffered failovers to reduce connection impact
Branch-per-environment, each branch on a dedicated cluster prorated per millisecond
Deploy requests for schema changes with revert and zero data loss
Online schema changes, resizing, resharding, and version updates
PgBouncer connection pooling on port 6432
Database Traffic Control query budgets
Dedicated Postgres read replicas, independently configurable
Huge pages support for Postgres and Neki on supported cluster sizes
MCP query access and branch metrics with org-level none / read-only / read-write controls
pscale CLI for orgs, branches, backups, keyspace parameters, and metrics
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
Terraform
AWS Marketplace
GCP Marketplace
MCP
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: PlanetScale 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.

PlanetScale

86 mentions across 5 sources · 63% positive — mixed (averaged across 5 sources)

Hacker News, YouTube, Product Hunt, Bluesky, Lemmy

What users praise

  • • Blazing NVMe drives with unlimited IOPS for high-performance workloads.
  • • Vitess horizontal sharding scales writes seamlessly for massive databases.
  • • Branch-per-environment enables safe, revertable schema changes.
  • • Automated failover across three availability zones for high availability.

What frustrates them

  • • Vendor lock-in makes migration away from Vitess difficult.
  • • DeWitt clause historically discouraged independent benchmarking.
  • • Postgres feature set still lags behind MySQL/Vitess sharding.
  • • Complexity of sharding and VSchema management can be overwhelming.

Researched Jul 26, 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.

Feature-by-feature

PlanetScale solves data storage and scale: managed Postgres plus Vitess, the MySQL-compatible sharding system, on locally-attached NVMe with unlimited IOPS, one primary and two replicas across three availability zones with automated failover, PgBouncer pooling on port 6432, read replicas, automated backups, Database Traffic Control query budgets, and Query Insights. Its signature workflow is branch-per-environment with deploy requests and online schema changes with revert — safe, reversible migrations. Recent releases extend this: Neki, its sharded Postgres, now supports extension management by name in Terraform and the pscale CLI, Vitess gets per-shard VTTablet sizing, and external MySQL databases can be attached as Vitess keyspaces without importing data. Spider Cloud solves data acquisition: one POST renders a page (scripts run, lazy images load, infinite scroll completes) into markdown, JSON, HTML, or text; crawls whole sites with pages streaming back as JSONL; offers a web search endpoint returning SERP results plus scraped pages and AI extraction in one call; and runs full browser sessions with anti-detection and CAPTCHA solving. The unblocker handles bot walls and geo checks with retries, backed by a 215M+ residential/ISP proxy network across 199 countries. Both expose an MCP server, and both let you script operations, but the overlap ends there — PlanetScale manages your persistence layer; Spider Cloud pulls the outside web into your pipeline, with a new provider router object routing requests to outside providers on your own keys.

Pricing compared

Both are freemium, but the meters measure completely different things. PlanetScale charges for a managed database — compute and storage for Postgres or Vitess, with a 99.99% single-region SLA and 99.999% multi-region on Enterprise. It's sold through self-serve and AWS/GCP Marketplaces, so real cost scales with cluster size, replicas, and regions rather than request count; there's no per-request meter to game. Spider Cloud charges per request on pay-as-you-go, or flat-rate on Unlimited, where concurrency is effectively unlimited and high-volume crawls beat metered billing — with two important caveats from the current data: geo-targeting isn't available on Unlimited (so geo-fenced crawls stay on pay-as-you-go), and residential/ISP proxy pools and AI extraction bill separately from base request pricing. Its own published alternatives research compares cost at 100,000 pages, which is the right unit for that product. Because the units differ — cluster hours versus pages fetched — a line-item price comparison is meaningless. Budget on intended use: PlanetScale is an infrastructure line item that grows with data and traffic served; Spider Cloud is a data-acquisition line item that grows with pages and browser sessions consumed.

Who should pick which

  • Team shipping a high-traffic Postgres app
    Pick: PlanetScale

    NVMe-backed unlimited IOPS, PgBouncer pooling, read replicas, and multi-AZ failover target exactly this.

  • Engineers who need safe schema migrations
    Pick: PlanetScale

    Branch-per-environment with deploy requests and online schema changes with revert make risky migrations reversible.

  • Company migrating off Aurora or RDS
    Pick: PlanetScale

    Positioned for lower latency and cost on NVMe storage, with Vitess for MySQL-compatible horizontal sharding.

  • AI agent builder needing live web pages
    Pick: Spider Cloud

    Renders pages as markdown or structured JSON on demand, with unblocker and CAPTCHA handling built into the request.

  • RAG pipeline ingesting whole doc sites
    Pick: Spider Cloud

    Streams crawl pages back as JSONL and exposes MCP plus LangChain/LlamaIndex integrations for minimal glue code.

Frequently Asked Questions

Would I ever use both?

Yes, and that's the more common pattern than choosing. Spider Cloud fetches and structures outside web data; PlanetScale stores your application's own Postgres or Vitess data. They sit at different layers, so there's no migration path from one to the other.

Which has a real free tier?

Both are listed as freemium. What each free tier meters is different — database cluster resources on PlanetScale, request/browser consumption on Spider Cloud — so check consumption limits against your expected page volume or cluster size before committing.

Does Spider Cloud's Unlimited plan cover everything?

No. The current data flags two exclusions: geo-targeting isn't available on Unlimited (geo-fenced crawls stay on pay-as-you-go), and residential/ISP proxy pools plus AI extraction bill separately from base request pricing. It also expects your client to handle HTTP 429s by backing off.

Can PlanetScale host data for a scraping pipeline?

It can store the results, but it does nothing on the acquisition side — rendering, proxies, CAPTCHAs, and crawling are entirely out of scope. You'd pair it with a fetcher like Spider Cloud, not use it as one.

Does Spider Cloud manage databases?

No. It has no managed Postgres, Vitess, failover, or schema-branching features. For persistence with branch-per-environment and deploy requests, look at PlanetScale.

What's newest on each side?

PlanetScale shipped Neki extension management via Terraform and the pscale CLI, per-shard Vitess sizing, and external keyspace attachment. Spider Cloud added a provider router object to scrape and crawl bodies that routes requests to outside providers on your own keys.

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Last reviewed: September 26, 2026