Zilliz Cloud Serverless 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

DimensionZilliz Cloud ServerlessSpider Cloud
PricingFree tier (5 GB storage, 2.5M vCU); paid from $0.057/hrFree tier (500 pages/mo); paid from $40/mo
Core FunctionVector database (managed Milvus)Web crawling & scraping API
Best ForGenAI apps needing scalable vector searchAI agents needing real-time web data for RAG
IntegrationsLangChain, LlamaIndex, OpenAI, Cohere, etc.LangChain, LlamaIndex, CrewAI, etc.
Unique FeatureTiered storage (DRAM/SSD/object) for cost savingsAI Studio + Browser AI commands (WebSocket)
Latest NewsLoon storage engine (2026-06-05); cost-aware VDBBench (2026-06-10)Browser AI commands (2026-03-05); scraper catalog (2026-02-25)

If your AI pipeline starts with fetching fresh web content, Spider Cloud is the leaner choice with an open-source core and pay-per-page pricing. If your priority is storing and searching vectors at scale for RAG, Zilliz Cloud Serverless offers auto-scaling and a generous free tier. They complement each other: use Spider to crawl, then feed embeddings into Zilliz.

Zilliz Cloud Serverless
Zilliz Cloud Serverless

Serverless vector database with hybrid search for GenAI apps, auto-scaled to your workload

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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
Freemium
Freemium
Plans
$0/mo
From $0/mo
From $126/GB/mo
From $197/mo
Contact sales
Contact sales
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
8 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
API
WebAPICLI
Categories
🗄️ Vector Databases & Retrieval
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Auto-scaling compute and storage
Tiered storage (DRAM, SSD, object storage)
Hybrid search across dense, sparse, and multimodal embeddings
Similarity metrics: Cosine, Euclidean, IP
Tunable consistency levels
Vector Lakebase for zero-copy external data
Loon storage engine for continuously changing vector data
On-demand compute for lake-scale search jobs
One-click migration to dedicated clusters or open-source Milvus
RESTful API and SDKs (Python, Java, Go, Node.js)
RBAC, project/user management, encryption
Multi-replica and elastic scaling (Enterprise)
Private endpoint and VPC peering (Enterprise)
99.95% uptime SLA (Enterprise)
Backup and restore (scheduled, cross-region)
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
OpenAI
Cohere
Hugging Face
LangChain
LlamaIndex
AWS SageMaker
Terraform
Databricks
Tripo
MCP Server
Zilliz CLI
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: Zilliz Cloud Serverless 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.

Zilliz Cloud Serverless

16 mentions across 1 sources · 95% positive

Product Hunt

What users praise

  • Auto-scaling eliminates manual capacity planning for vector workloads.
  • Tiered storage (DRAM/SSD/object) cuts costs up to 50x vs in-memory.
  • Built on mature open-source Milvus with strong community trust.
  • Free tier offers 5 GB storage and 2.5M vCUs per month.

What frustrates them

  • Limited community reviews beyond Product Hunt launch day.
  • Potential for unexpected costs with serverless auto-scaling at scale.
  • No dedicated support on free tier; enterprise support unverified.
  • Tiered storage latency may spike when data moves between tiers.

Researched Jul 3, 2026

Spider Cloud

41 mentions across 2 sources · 0% positive — critical

YouTube, Lemmy

What users praise

  • Competitive pay-as-you-go pricing at $1/GB with no expiry.
  • Default rate limit of 10,000 requests per minute is generous.
  • Broad output formats (HTML, markdown, JSON, CSV) cover diverse needs.
  • Integrated Web Search API bundles SERP and extraction for AI agents.

What frustrates them

  • No community feedback to confirm reliability or performance.
  • Self-reported metrics lack independent verification.
  • Stealth browser success may vary across real sites.
  • Potential legal risks from scraping; compliance is user's responsibility.

Researched Aug 26, 2026

Who should pick which

  • Solo founder building a RAG chatbot with web data
    Pick: Spider Cloud

    Spider Cloud's free tier and simple API make it easy to fetch current web content; its LangChain integration streamlines building the data pipeline.

  • Startup scaling a GenAI recommendation system
    Pick: Zilliz Cloud Serverless

    Zilliz's auto-scaling and tiered storage keep costs low as data grows; the generous free tier allows prototyping without upfront cost.

  • Data scientist exploring similarity search on a budget
    Pick: Zilliz Cloud Serverless

    The free tier provides 5GB storage and 2.5M vCU, more than enough for experiments; hybrid search supports experimental use cases.

  • Team needing to scrape thousands of sites with AI extraction
    Pick: Spider Cloud

    Spider's AI Studio and Browser AI commands automate complex extractions; the scraper catalog provides ready-to-use examples.

  • Developer prototyping a multimodal RAG app
    Pick: Zilliz Cloud Serverless

    Zilliz supports dense, sparse, and multimodal vectors; integrates with Tripo for 3D assets and various embedding APIs.

Frequently Asked Questions

Zilliz Cloud Serverless vs Spider Cloud: which should you choose?

If your AI pipeline starts with fetching fresh web content, Spider Cloud is the leaner choice with an open-source core and pay-per-page pricing. If your priority is storing and searching vectors at scale for RAG, Zilliz Cloud Serverless offers auto-scaling and a generous free tier. They complement each other: use Spider to crawl, then feed embeddings into Zilliz.

Can I use Spider Cloud and Zilliz Cloud together?

Yes. Use Spider Cloud to crawl and extract content from the web, then generate embeddings and store them in Zilliz Cloud Serverless for vector search. Both integrate with LangChain and LlamaIndex.

Which has a more generous free tier?

Zilliz Cloud Serverless offers 5 GB storage and 2.5M vCU free per month, which can handle thousands of vectors. Spider Cloud's free tier is 500 pages per month, sufficient for small projects.

Does Spider Cloud support real-time streaming?

Yes. Spider Cloud's Browser AI commands via WebSocket allow real-time interaction (Act, Extract, Observe). It also supports streaming via its data connectors to cloud storage.

Does Zilliz support hybrid search?

Yes. Zilliz Cloud Serverless supports dense, sparse, and multimodal hybrid search, combining different vector types in a single query.

Which tool is better for RAG pipelines?

Both. Spider Cloud is ideal for the 'fetch' step (crawling and extracting web data), while Zilliz Cloud Serverless is ideal for the 'retrieve' step (storing and searching embeddings). They complement each other.

How does pricing scale for high volume?

Spider Cloud charges per page ($0.03 per 1000 pages on average). Zilliz charges per vCU-hour for compute and per GB for storage. For very large volumes, Zilliz's tiered storage can reduce costs.

Does Spider Cloud have an open-source option?

Yes. Spider Cloud has an open-source core available on GitHub, allowing self-hosting. Zilliz Cloud is proprietary but based on open-source Milvus.

What are the latest major updates?

Spider Cloud recently added Browser AI commands (2026-03-05) and a scraper catalog (2026-02-25). Zilliz Cloud Serverless introduced the Loon storage engine (2026-06-05) and cost-aware benchmarking via VDBBench (2026-06-10).

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Last reviewed: July 3, 2026