Postgresml vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionPostgresmlSpider Cloud
Core FunctionIn-database GPU-accelerated ML & AIWeb crawling/scraping API for AI agents
Data HandlingOperates on data within PostgreSQLExtracts web data to structured formats
AI CapabilitiesEmbeddings, LLM generation, fine-tuning, regressionBrowser AI commands, AI extraction, Silk captcha solver
DeploymentCloud service + open-source self-hosted extensionCloud API + open-source self-host option
Best ForPostgreSQL users adding ML without new servicesAI agents needing real-time web data

Choose Spider Cloud if your priority is fetching live web data for AI agents (RAG, scraping) with pay-as-you-go pricing and recent Browser AI commands. Choose PostgresML if you already use PostgreSQL and want GPU-accelerated ML (embeddings, LLM generation) directly in your database without new infrastructure.

Try PostgresmlTry Spider Cloud
Postgresml
Postgresml

Run LLM inference, embeddings, and ML training directly inside PostgreSQL using SQL functions, or use the Korvus SDK for RAG pipelines.

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Spider Cloud
Spider Cloud

Spider Cloud is a web scraping, crawling, and search API that streams live pages as markdown or JSON for AI agents and RAG pipelines.

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Pricing
Freemium
Freemium
Plans
$0/mo
From $7.50/query hour
From $0.60/instance hour
Custom
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
7 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPIPluginDesktop
WebAPIPluginCLIDesktop
Categories
🗄️ Vector Databases & Retrieval📊 Data & Analytics⚙️ Developer Infrastructure
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
SQL API for ML operations: pgml.embed(), pgml.transform(), pgml.train(), pgml.predict()
Text generation with Meta-Llama-3.1-8B/70B/405B-Instruct and Llama-3.2-1B/3B-Instruct
Mixtral-8x7B-Instruct-v0.1 and Mistral-7B-Instruct-v0.2 inference
Embeddings via e5-small-v2, gte-base-en-v1.5, gte-large-en-v1.5, mxbai-embed-large-v1
HNSW and IVFFlat vector indexes for KNN and ANN search
Fine-tune open-source LLMs on your own data with pgml.tune()
Supervised learning: regression, classification, clustering, decomposition via pgml.train()
Batch and online prediction with pgml.predict(), reusing training preprocessors
Model deployment versioning and rollback with pgml.deploy()
Streaming inference with pgml.transform_stream()
Built-in data preprocessors for splitting and chunking
Korvus SDK for JavaScript, Python, C, and Rust RAG pipelines
Colocated data and compute: embed, serve, and store in one process
Self-hosted open source plus serverless, dedicated, and VPC cloud deployments
Integration with dbt, Apache Airflow, Dagster, and Kafka for data pipelines
Scrape a single page into markdown, JSON, HTML, raw, or plain text
Crawl entire sites with each page streamed as one JSONL line in order as it finishes
Web search endpoint returns SERP results plus the scraped pages behind them
Custom browser renders like a user: scripts run, lazy images load, infinite scroll reaches the end
Load protected pages through a real browser engine with geo checks, returning a 200
Run full browser sessions over WebSocket with anti-detection and rotating exits
Send AI commands (Act, Extract, Observe) over the Browser API WebSocket
Send a prompt on a scrape or crawl request and get named fields back as JSON
Two-phase AI extraction: a fast model for most pages, a stronger model for complex layouts
Provider router sends scrape and crawl requests to outside providers on your own keys
Data connectors pipe crawl results into S3, GCS, Google Sheets, Azure Blob, or Supabase
Proxy network with 215M+ residential and ISP exits in 199 countries, rotated per request
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
1,000+ ready-made scraper examples across 32 categories, each with working code
API responses support JSON, JSONL, CSV, and XML; up to 10,000 core API requests per minute by default
Integrations
Hugging Face
PyTorch
TensorFlow
Flax
SciKit-Learn
XGBoost
LightGBM
CatBoost
Apache Airflow
dbt
Dagster
Kafka
AWS
Azure
Google Cloud
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Postgresml 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.

Postgresml

10 mentions across 1 sources · 40% positive — mixed (averaged across 1 source)

Hacker News

What users praise

  • • GPU-accelerated ML models run directly in Postgres via SQL.
  • • Simplifies AI stack by colocating data and compute.
  • • Built-in embedding generation with open-source models like Llama and Mistral.
  • • Supports vector search (KNN/ANN) with HNSW and IVFFlat indexing.

What frustrates them

  • • Project is abandoned — no active development or support.
  • • Uncertain future for security patches and bug fixes.
  • • Naming caused confusion and backlash from Postgres community.
  • • Accused of copying prior art without proper credit.

Researched Jul 3, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “Spider Cloud”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • AI developer building RAG pipeline
    Pick: Spider Cloud

    Needs real-time web data; Spider Cloud's crawling, AI extraction, and Browser AI commands directly feed LLMs; integrates with LangChain/LlamaIndex.

  • PostgreSQL DBA adding ML
    Pick: Postgresml

    Leverages existing Postgres data for embeddings, LLM generation, and vector search without new services; colocated compute reduces latency.

  • Data scientist doing NLP on DB
    Pick: Postgresml

    In-database fine-tuning and GPU-accelerated models (Llama, Mistral) via SQL; no data movement.

  • Startup needing web scraping for AI
    Pick: Spider Cloud

    Cost-effective $0.03/1k pages, 99.9% success rate, unblocker handles anti-bot measures; open-source fallback for self-hosting.

  • Enterprise requiring data privacy
    Pick: Postgresml

    Self-hosted on-premises keeps data inside PostgreSQL; no external API calls for ML tasks.

Frequently Asked Questions

Postgresml vs Spider Cloud: which should you choose?

Choose Spider Cloud if your priority is fetching live web data for AI agents (RAG, scraping) with pay-as-you-go pricing and recent Browser AI commands. Choose PostgresML if you already use PostgreSQL and want GPU-accelerated ML (embeddings, LLM generation) directly in your database without new infrastructure.

Can Spider Cloud extract data from JavaScript-heavy sites?

Yes, via Browser Cloud and Browser AI commands (Act, Extract, Observe) using WebSocket, which renders JavaScript.

Does PostgresML require GPU for all operations?

GPU is needed for acceleration, but some operations (e.g., basic vector search) can run on CPU, though performance suffers.

Can I use Spider Cloud without an API key?

No, the cloud API requires authentication. However, the open-source core can be self-hosted without an API key.

Does PostgresML support non-PostgreSQL databases?

No, it's exclusively for PostgreSQL.

What formats does Spider Cloud output?

Markdown, HTML, JSON, CSV, XML, and plain text.

Can PostgresML fine-tune open-source LLMs?

Yes, it supports fine-tuning models like Llama and Mistral on custom data.

Does Spider Cloud have a free tier?

Yes, it offers a freemium plan with limited credits; details not specified.

Is PostgresML open-source?

Yes, it's open-source and can be self-hosted.

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Explore each tool further

Postgresml
View Postgresml reviewPostgresml alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Vector Databases & Retrieval toolsBest AI Web Scraping & Search APIs toolsBest AI Data & Analytics toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 3, 2026