Zilliz Cloud Serverless vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Zilliz Cloud Serverless | Spider Cloud |
|---|---|---|
| Pricing | Free tier (5 GB storage, 2.5M vCU); paid from $0.057/hr | Free tier (500 pages/mo); paid from $40/mo |
| Core Function | Vector database (managed Milvus) | Web crawling & scraping API |
| Best For | GenAI apps needing scalable vector search | AI agents needing real-time web data for RAG |
| Integrations | LangChain, LlamaIndex, OpenAI, Cohere, etc. | LangChain, LlamaIndex, CrewAI, etc. |
| Unique Feature | Tiered storage (DRAM/SSD/object) for cost savings | AI Studio + Browser AI commands (WebSocket) |
| Latest News | Loon 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.
Serverless vector database with hybrid search for GenAI apps, auto-scaled to your workload
Visit Website
AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.
Visit WebsiteWhat 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 dataPick: 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 systemPick: 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 budgetPick: 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 extractionPick: 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 appPick: 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