Pathway 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

DimensionPathwaySpider Cloud
Best ForReal-time streaming ETL and RAG pipelinesAI agents needing real-time web data for RAG
PricingFreemium (self-hosted), open sourceFreemium, ~$0.03/1k pages + AI Studio add-on $6/mo
Core EngineRust-based streaming data processing engineRust-based crawling & scraping API
AI CapabilitiesLLM pack for RAG; BDH model is waitlist-onlyAI Studio (natural language crawling), Browser AI commands, Silk AI model
DeploymentSelf-hosted only (no managed cloud)Cloud API + self-host open source fallback
IntegrationsKafka, PostgreSQL, S3, Delta Lake, etc.LangChain, LlamaIndex, S3, GCS, Supabase, etc.

If you need live web data for AI agents (crawl, scrape, extract), Spider Cloud is the pick — real-time crawling with 99.9% success, AI Studio, and Browser AI commands. If your focus is on streaming ETL and live data pipelines (like Kafka to vector DB), Pathway’s Rust engine and incremental computation shine — but it requires self-hosting. Most AI builders will find Spider Cloud more immediately useful for grounding LLMs.

Pathway
Pathway

Post-transformer AI and live data streaming engine, now at $500M valuation.

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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
$0/mo (with license)
Contact for pricing
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
3 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
API
WebAPICLI
Categories
📊 Data & Analytics⚙️ Developer Infrastructure
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
True streaming engine in Rust
Unified batch and streaming processing
Incremental joins, filters, group-by, temporal joins, windows, ranges
Custom stateful reducers
User Defined Functions (async API/LLM calls)
Built-in vector index (HNSW) and hybrid search (BM24 + vector)
LLM extension pack for RAG pipelines
Predefined API connectors to 300+ data sources
REST API endpoint with sub-millisecond latency
Python and SQL programming APIs
Jupyter notebook support (including streaming)
Monitoring via OpenTelemetry and Grafana (Scale and Enterprise)
Post-transformer BDH model with latent reasoning and persistent memory (on AWS)
Visual Explorer for live dashboards with geospatial data viz (Enterprise)
Support for temporal graph data and geospatial trajectory mining
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
Kafka
PostgreSQL
S3
Redpanda
Slack
Google PubSub
Logstash
SharePoint
Delta Lake
Iceberg
BigQuery
Elasticsearch
QuestDB
Grafana
AWS
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: Pathway 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.

Pathway

49 mentions across 3 sources · 33% positive — critical

Hacker News, GitHub, Lemmy

What users praise

  • Rust-based engine offers sub-millisecond latency for streaming data.
  • Unified code for streaming and batch workloads simplifies development.
  • Built-in HNSW vector search and BM24 hybrid search for RAG.
  • Connectors for Kafka, S3, PostgreSQL, and 300+ sources.

What frustrates them

  • Processing 1M rows takes >10 minutes—too slow for many cases.
  • Official examples buggy (Airbyte showcase throws KeyError).
  • Almost no real user reviews or community discussion exists.
  • Model (BDH) is unproven and lacks independent benchmarks.

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

  • AI agent developer
    Pick: Spider Cloud

    Needs real-time web data for LLM grounding; Spider Cloud's scraping API, AI Studio, and Browser AI commands provide turnkey data extraction.

  • Data engineer building streaming ETL
    Pick: Pathway

    Pathway's Rust engine handles incremental joins, windowed aggregations, and Kafka connectors — ideal for live data pipelines.

  • RAG pipeline builder
    Pick: Spider Cloud

    Spider Cloud directly outputs markdown/JSON for immediate ingestion into vector DBs; Pathway requires extra work to ingest from web APIs.

  • Team needing managed infrastructure
    Pick: Spider Cloud

    Pathway is self-hosted only; Spider Cloud offers a cloud API with no DevOps overhead.

Frequently Asked Questions

Pathway vs Spider Cloud: which should you choose?

If you need live web data for AI agents (crawl, scrape, extract), Spider Cloud is the pick — real-time crawling with 99.9% success, AI Studio, and Browser AI commands. If your focus is on streaming ETL and live data pipelines (like Kafka to vector DB), Pathway’s Rust engine and incremental computation shine — but it requires self-hosting. Most AI builders will find Spider Cloud more immediately useful for grounding LLMs.

Can I use Spider Cloud for real-time streaming data?

Spider Cloud is a request-response API for crawling/scraping; it does not natively process streams like Kafka. Use Pathway for that.

Does Pathway offer a cloud-hosted version?

No, Pathway is self-hosted only. You must manage your own infrastructure.

Which tool is better for RAG with live web content?

Spider Cloud excels at crawling and extracting live web data as markdown/JSON, perfect for RAG ingestion. Pathway can then process those streams if you build a pipeline, but it's not designed for initial data acquisition.

How do the pricing models compare?

Spider Cloud: usage-based (~$0.03/1k pages) + optional AI Studio. Pathway: free open-core (self-host), pay for your own compute.

Can I use Spider Cloud's Browser AI commands with Pathway?

Browser AI commands are Spider Cloud-specific. Pathway doesn't have browser automation.

Is Pathway's BDH model available for use?

No, the BDH model is currently waitlist-only. The only production-ready product is the streaming data framework.

Which tool integrates with LangChain?

Spider Cloud has direct integrations with LangChain, LlamaIndex, CrewAI, etc. Pathway does not list those integrations.

Which tool is open source?

Both have open-source cores: Spider Cloud's core is on GitHub; Pathway's entire data framework is open-core.

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Last reviewed: July 3, 2026