Zvec vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-09-01
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At a glance

DimensionZvecSpider Cloud
PricingFree (open-source)Freemium: pay per page (avg $0.03/1k pages); AI Studio add-on $6/mo
Primary FunctionIn-process vector database for hybrid searchWeb crawling, scraping, and data extraction API
DeploymentEmbedded, no server, Python-onlyCloud API with self-hosted open-source core
Key StrengthSub-millisecond hybrid search at billion scaleHigh-speed Rust engine, stealth anti-detection, AI extraction
Best ForPython apps needing embedded vector searchAI agents and RAG pipelines needing fresh web data
Latest NewsNo recent updatesBrowser AI commands (Act, Extract, Observe), scraper catalog, data connectors (Feb-Mar 2026)

Choose Zvec if your focus is high-performance vector search inside a Python application with no external dependencies. Choose Spider Cloud if your need is extracting fresh web data at scale for AI agents or RAG, with advanced anti-detection and AI-powered extraction. They solve orthogonal problems, so the choice depends on whether you need a vector store or a web data pipeline.

Zvec
Zvec

Zvec: open-source, in-process vector database with sub-millisecond search at billion scale.

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Spider Cloud
Spider Cloud

AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.

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Pricing
Free
Freemium
Plans
$0
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
4 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
DesktopCLI
WebAPICLI
Categories
🗄️ Vector Databases & Retrieval
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
In-process vector database
Sub-millisecond search at billion scale
Dense vector support
Sparse vector support
Multi-vector queries in a single call
Hybrid search with structured filters
Write-ahead logging for durability
Concurrent multi-process reads
Single-process exclusive writes
Lightweight pip install
Pythonic API
Runs on notebooks, servers, CLI, edge devices
Apache 2.0 open-source license
No configuration required
Battle-tested at Alibaba
Scrape any website into markdown, JSON, or raw HTML
Full-site crawling at 100K+ pages/sec
10,000 core API requests per minute default
Web Search API: SERP + scraping + extraction in one call
/ai/search endpoint with relevance gate to skip irrelevant pages
Silk AI model: HTML-to-structured data and captcha solving on GPUs
Browser Cloud: full browser sessions over CDP
AI commands (Act, Extract, Observe) via WebSocket with AI Studio
Multiple output formats: HTML, raw, plain text, markdown, JSON, JSONL, CSV, XML
Stealth browser layer and Unblocker for anti-bot sites
Proxy pool with 215M+ residential and ISP IPs across 199+ countries
Robots.txt compliance on by default, disable per-request
data_connectors parameter: pipe results to S3, GCS, Google Sheets, Azure Blob, Supabase
extraction_schema parameter: AI output conforms to JSON schema
1,000+ ready-made scraper examples across 32 categories
Integrations
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

Who should pick which

  • Python developer building a local semantic search app
    Pick: Zvec

    Zvec provides sub-millisecond hybrid search with a simple pip install, perfect for embedding vector search in a Python application without server setup.

  • AI agent developer needing real-time web data for RAG
    Pick: Spider Cloud

    Spider Cloud's API with AI Studio, Browser AI commands, and data connectors enables agents to fetch and process web pages at scale with anti-detection.

  • Data scientist prototyping similarity search on a notebook
    Pick: Zvec

    Zvec runs in Jupyter notebooks with no dependencies, allowing rapid testing of dense/sparse vector search for up to billion-scale datasets.

  • Team building a web monitoring dashboard with structured output
    Pick: Spider Cloud

    Spider Cloud's Rust engine and output formats (markdown, JSON, CSV) plus data connectors to S3/Sheets make it easy to ingest and monitor web data.

  • Edge/IoT developer requiring local vector database
    Pick: Zvec

    Zvec's lightweight embedded design and Pythonic API are ideal for edge devices where running a separate server is impractical.

Frequently Asked Questions

Zvec vs Spider Cloud: which should you choose?

Choose Zvec if your focus is high-performance vector search inside a Python application with no external dependencies. Choose Spider Cloud if your need is extracting fresh web data at scale for AI agents or RAG, with advanced anti-detection and AI-powered extraction. They solve orthogonal problems, so the choice depends on whether you need a vector store or a web data pipeline.

Can Zvec be used in a distributed production environment?

No, Zvec is designed for single-process writes and multi-process reads. It does not support clustering or replication out of the box.

What does Spider Cloud's AI Studio add-on provide?

AI Studio allows you to describe crawling tasks in natural language, which are then executed by Spider's AI. It costs $6 per month and supports complex instructions.

Does Zvec support sparse vectors?

Yes, Zvec supports both dense and sparse vectors, enabling hybrid search combining semantic and keyword-based retrieval.

How does Spider Cloud handle anti-bot detection?

Spider Cloud uses a Browser Cloud with stealth anti-detection, rotating proxies, automatic retries, and an AI unblocker endpoint to bypass common blocks.

Is Zvec suitable for production at billion-scale?

Yes, Zvec benchmarks show sub-millisecond latency at billion-scale, but it is limited to single-node, in-process deployment. It is battle-tested at Alibaba.

What is the pricing model for Spider Cloud?

Spider Cloud uses a freemium model with pay-per-page pricing (~$0.03 per 1,000 pages). Failed requests are not charged. Free tier available. No monthly subscription required.

Can I use Zvec with languages other than Python?

The native API is Python-only. There is no official support for other languages, though you could wrap it via subprocess.

Does Spider Cloud offer data connectors for cloud storage?

Yes, as of February 2026, Spider Cloud supports data connectors to Amazon S3, Google Cloud Storage, Google Sheets, Azure Blob, and Supabase for automated data piping.

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Last reviewed: July 3, 2026