Memgraph vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-08
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At a glance

DimensionMemgraphSpider Cloud
Core FunctionIn-memory graph database for real-time AI & analyticsWeb crawling & scraping API for AI agents
Query LanguageCypher (compatible with Neo4j), MemGQL federated engineREST API, Python SDK, Browser AI WebSocket commands
AI FeaturesVector search, GraphRAG, AI memory (semantic/episodic/procedural)AI Studio, AI extraction, Silk model, Browser AI commands
IntegrationsKafka, Pulsar, Redpanda, Python, Node.js, Neo4jLangChain, LlamaIndex, CrewAI, S3, GCS, Supabase
DeploymentDocker, Kubernetes, Linux on-prem; Memgraph Zero for federated queriesCloud API + open-source self-host option

Choose Spider Cloud if you need real-time web data for RAG pipelines and AI agents, with minimal coding and a pay-per-page model. Choose Memgraph if you need an in-memory graph database for GraphRAG, AI memory, and real-time analytics, and you're comfortable with Cypher. They solve fundamentally different problems: Spider Cloud gets data from the web; Memgraph stores and queries graph data.

Try MemgraphTry Spider Cloud
Memgraph
Memgraph

In-memory graph database that supplies structured context to AI systems and runs real-time graph analytics on the same engine.

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Spider Cloud
Spider Cloud

Spider Cloud is a web scraping and crawling API that turns live pages into markdown or JSON for agents and RAG pipelines.

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Pricing
Freemium
Freemium
Plans
$0
Free trial, then paid
Custom
Custom
Custom
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
20 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebDesktopAPICLI
WebAPIPluginCLIDesktop
Categories
🗄️ Vector Databases & Retrieval🧠 Agent Memory & Runtimes
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
In-memory ACID transactions with on-disk persistence
Sub-millisecond multi-hop graph traversals
1,000+ transactions per second reads and writes
Graph sizes from 100 GB to 4 TB
Cypher query language with documented Neo4j migration path
Built-in vector search for semantic AI applications
GraphRAG pipelines that traverse a knowledge graph for multi-hop context
AI memory: semantic, episodic, and procedural memory in one graph
Agentic AI reasoning graph with inspectable, scored decision traces
MAGE algorithm library (PageRank, community detection, shortest path, and more)
Stream connectors for Kafka, Pulsar, and Redpanda
Zero-ETL querying of existing data as a graph
Memgraph Lab visual interface, including GraphChat and Graph Style Script
Python client, NetworkX, LangChain, and LlamaIndex integrations
High-availability replication and automatic failover
Scrape a single page into markdown, JSON, HTML, raw text, or plain text
Crawl entire sites with each page streamed as one JSONL line in order the moment it finishes
Web search endpoint returns SERP results plus the scraped pages behind them in one call
Custom browser renders like a user: scripts run, lazy images load, infinite scroll completes
Unblocker loads protected pages through a real browser engine with geo checks and a 200
Browser Cloud runs full sessions 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 the 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
Requests stream back as they land, in order, without waiting for the last URL
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
Integrations
Apache Kafka
Apache Pulsar
Redpanda
Neo4j
Python
NetworkX
LangChain
LlamaIndex
Docker
AWS
AWS Marketplace
Entra ID
Okta
SAML
OIDC
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Memgraph 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.

Memgraph

31 mentions across 2 sources · 70% positive (averaged across 2 sources)

Hacker News, Lemmy

What users praise

  • • Sub-millisecond query responses for real-time analytics and AI workloads.
  • • Unified architecture for GraphRAG and graph analytics on one in-memory store.
  • • Cypher-compatible, making migration from Neo4j straightforward.
  • • Native vector search enables semantic AI without separate vector database.

What frustrates them

  • • Early versions lacked native vector search, pushing users to competitors.
  • • Complex Cypher queries can sometimes require manual optimization.
  • • Smaller ecosystem and community compared to Neo4j.
  • • Memory-based pricing can become expensive for large datasets.

Researched Jul 3, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Oct 7, 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

  • Solo founder building an AI agent that needs web context
    Pick: Spider Cloud

    Spider Cloud's simple API, browser AI commands, and pay-per-page pricing are ideal for quick web data ingestion into LLMs, with no complex setup.

  • Data scientist analyzing real-time fraud networks
    Pick: Memgraph

    Memgraph's in-memory sub-millisecond graph traversal and MAGE library enable real-time anomaly detection on streaming data from Kafka.

  • Developer building a GraphRAG system for enterprise knowledge
    Pick: Memgraph

    Memgraph's built-in GraphRAG pipelines, vector search, and AI memory features provide a unified graph database optimized for LLM context retrieval.

  • Team needing to scrape 1,000+ pages daily for competitive analysis
    Pick: Spider Cloud

    Spider Cloud's scaling pricing and 99.9% success rate make it cost-effective for high-volume scraping, with data connectors to S3 and GCS for downstream use.

  • Organization migrating from Neo4j to a faster graph DB
    Pick: Memgraph

    Memgraph is Cypher-compatible, offers in-memory performance, and with MemGQL can query distributed data live, easing migration and improving speed.

Frequently Asked Questions

Memgraph vs Spider Cloud: which should you choose?

Choose Spider Cloud if you need real-time web data for RAG pipelines and AI agents, with minimal coding and a pay-per-page model. Choose Memgraph if you need an in-memory graph database for GraphRAG, AI memory, and real-time analytics, and you're comfortable with Cypher. They solve fundamentally different problems: Spider Cloud gets data from the web; Memgraph stores and queries graph data.

Can I use both Spider Cloud and Memgraph together?

Yes. Spider Cloud can scrape web data, then you can pipe the extracted content (e.g., via a data connector to S3) into Memgraph for graph storage and GraphRAG.

Does Spider Cloud support CAPTCHA solving?

Yes, Spider Cloud's Silk model and AI extraction handle captcha solving, as noted in its features.

Is Memgraph free for commercial use?

Memgraph Community Edition is free and open-source, but for commercial production with high availability and enterprise features, you need a paid Enterprise license.

Which tool is better for real-time data?

Memgraph is designed for real-time graph analytics with stream connectors and sub-millisecond queries. Spider Cloud is a scraping API, not a real-time streaming platform.

Can I self-host Spider Cloud?

Yes, Spider Cloud's core is open-source and available on GitHub for self-hosting. The cloud version offers additional features like AI Studio.

Does Memgraph support vector search?

Yes, Memgraph has built-in vector search for semantic AI, useful for GraphRAG and AI memory.

What are the pricing tiers for Spider Cloud?

Free: 100 pages/mo. Paid: from $20/mo (1,000 pages) scaling up. AI Studio add-on: $6/mo. Only successful pages are billed.

Can Memgraph be used for simple document storage?

Not ideal. Memgraph is a graph database designed for connected data, not document or key-value storage. Use a document DB for that purpose.

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Explore each tool further

Memgraph
View Memgraph reviewMemgraph 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 Agent Memory & Runtimes toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 3, 2026