Zenml vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Zenml | Spider Cloud |
|---|---|---|
| Pricing | Free open-source + Pro ($20/mo per user) + Enterprise (custom) | Free (1000 pages/mo) + Paid (starts at $49/mo for 5000 pages) |
| Core Function | ML pipeline orchestration & agent runtime | Web crawling & scraping API for AI agents |
| Primary Users | ML engineers and data scientists | AI agent developers and RAG pipeline builders |
| Key Strength | Reproducible pipelines with durable execution (Kitaru) | High-speed scraping with 99.9% uptime at low cost |
| Notable Integrations | Kubernetes, Vertex AI, LangChain, LangGraph | LangChain, LlamaIndex, CrewAI, AutoGen |
| Latest News | Kitaru open source durable execution for agents (2026-04) | Browser AI commands via WebSocket (2026-03) |
ZenML and Spider Cloud address different layers of the AI stack: ZenML is for orchestrating ML pipelines and making AI agents durable (via Kitaru), while Spider Cloud is for fetching web data at scale for RAG and AI agents. If you need to build reliable, reproducible ML workflows or add crash recovery to your agents, choose ZenML. If you need a fast, cheap, and reliable web scraping API to feed data to your agents, choose Spider Cloud. They can also complement each other in a broader system.
Open-source MLOps framework and durable agent runtime for reproducible pipelines and replayable AI agents.
Visit Website
AI web scraping API that turns any site into markdown or JSON for AI agents, pay-as-you-go or flat-rate.
Visit WebsiteWho should pick which
- ML engineer building training pipelinesPick: Zenml
ZenML's declarative pipeline DAG, artifact versioning, and cloud backend switching allow reproducible and scalable training pipelines.
- RAG pipeline developer needing fresh web dataPick: Spider Cloud
Spider Cloud's fast scraping API, structured output, and data connectors (S3, Supabase) directly feed RAG systems.
- Agent developer wanting crash recoveryPick: Zenml
ZenML's Kitaru durable execution provides checkpoint replay and crash recovery for agents built with LangGraph, OpenAI Agents SDK, etc.
- Team needing massive web scraping at low costPick: Spider Cloud
Spider Cloud's Rust engine and $0.03/1k pages pricing make it cost-effective for high-volume scraping with 99.9% success.
Frequently Asked Questions
Zenml vs Spider Cloud: which should you choose?
ZenML and Spider Cloud address different layers of the AI stack: ZenML is for orchestrating ML pipelines and making AI agents durable (via Kitaru), while Spider Cloud is for fetching web data at scale for RAG and AI agents. If you need to build reliable, reproducible ML workflows or add crash recovery to your agents, choose ZenML. If you need a fast, cheap, and reliable web scraping API to feed data to your agents, choose Spider Cloud. They can also complement each other in a broader system.
Can I use both ZenML and Spider Cloud together?
Yes. Spider Cloud can fetch web data as part of a ZenML pipeline step (e.g., for RAG), and ZenML orchestrates the overall workflow.
Does Spider Cloud offer a self-hosted option?
Yes, the core is open-source on GitHub, but the cloud version provides managed scaling and anti-bot features.
Does ZenML require coding?
Yes, pipelines are defined via Python decorators; it's not a no-code platform.
Which tool is better for LangGraph agents?
ZenML's Kitaru now provides durable execution for LangGraph agents (checkpointing and replay). Spider Cloud can be used as a data source within those agents.
Does Spider Cloud handle CAPTCHAs?
Yes, its Silk model helps solve CAPTCHAs, and the unblocker uses rotating proxies and retries.
What is ZenML's Kitaru?
Kitaru is an open-source durable execution runtime for Python agents, providing crash recovery, human-in-the-loop, and replay from checkpoints (launched April 2026).
Are failed requests billed on Spider Cloud?
No, failed requests are not billed.
Does ZenML have a free tier?
Yes, ZenML is open-source with free unlimited pipeline runs; Pro adds extra features.
More Zenml or Spider Cloud comparisons
Choose Vercel if you need to deploy full-stack apps or AI agents with sandboxed execution, global CDN, and rich framework integrations. Choose Spider Cloud if your primary need is fast, reliable web s
Tableau and Spider Cloud serve entirely different purposes: Tableau is a full-featured BI platform for human analysts building interactive dashboards, while Spider Cloud is a purpose-built scraping AP
If your stack lives inside Microsoft 365 and you need governed, interactive dashboards, Power BI is the natural choice with unmatched ecosystem integration. But if you're building AI agents or RAG pip
If you need to run LLMs locally for privacy and agentic workflows, LM Studio is the free, polished choice with recent updates like multi-GPU tensor parallelism and MTP speculative decoding. If your pr
Spider Cloud and Amplitude solve entirely different problems. Choose Spider Cloud if you need high-volume, low-cost web data extraction for AI agents and RAG pipelines—it’s purpose-built for that. Cho
Choose Spider Cloud if you need a fast, low-cost web scraping API for feeding real-time data into AI agents and RAG pipelines. Choose Looker if you're an enterprise on Google Cloud needing governed, A
Explore each tool further
Browse these categories
One email a week — new tools, honest comparisons, no spam.
Last reviewed: July 3, 2026