Amazon Neptune Analytics vs Diffbot

Amazon Neptune Analytics vs Diffbot: side-by-side comparison of two knowledge-graph platforms systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.

Amazon Neptune Analytics · Diffbot

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Cost & capability

Amazon Neptune AnalyticsDiffbot
Cost tiermidmid

Where they differ (9)

Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.

Amazon Neptune AnalyticsDiffbot
TypeVector + graph in one managed serviceAuto-extracted KG from web crawl
Created2023-112008
PricingPay-per-use — billed per m-NCU-hour (1 m-NCU = 1 GB memory plus compute for 1 hour), $0.03 per m-NCU-hour in us-east-1 (16 m-NCU graph = $0.48/hour); paused graphs billed at 10% of computeFree $0/month (10,000 credits); Startup $299/month (250,000 credits, overage $0.001/credit); Startup Plus $899/month (1,000,000 credits, overage $0.0009/credit); Enterprise custom
Fundingsearched not found$12.5M total (Seed + Series A 2016)
Backend storagecustom (AWS Neptune managed)custom
API surfaceREST, openCypher, Gremlin, SPARQL, SDK: AWS SDKsREST + GraphQL (DQL Knowledge Graph; Enhance, Extract APIs)
EmbeddingBYOlocked
MCPyes — official AWS Labs Amazon Neptune MCP server (openCypher queries, schema and status for Neptune Analytics graphs)yes — official diffbot/diffbot-mcp server (extract, search_web, crawl, entity resolution tools)
OpenTelemetryfirst-class — CloudWatch / OTelno first-party OpenTelemetry exporter documented; standard logs/metrics typically available.

At a glance

Amazon Neptune AnalyticsDiffbot
SectionKnowledge-graph platforms Knowledge-graph platforms
TierT1 T1
TypeVector + graph in one managed service Auto-extracted KG from web crawl
Created2023-11 2008
PricingPay-per-use — billed per m-NCU-hour (1 m-NCU = 1 GB memory plus compute for 1 hour), $0.03 per m-NCU-hour in us-east-1 (16 m-NCU graph = $0.48/hour); paused graphs billed at 10% of compute Free $0/month (10,000 credits); Startup $299/month (250,000 credits, overage $0.001/credit); Startup Plus $899/month (1,000,000 credits, overage $0.0009/credit); Enterprise custom
Fundingsearched not found $12.5M total (Seed + Series A 2016)
Backend storagecustom (AWS Neptune managed) custom
DeploymentManaged-only Managed-only
API surfaceREST, openCypher, Gremlin, SPARQL, SDK: AWS SDKs REST + GraphQL (DQL Knowledge Graph; Enhance, Extract APIs)
EmbeddingBYO locked
Multi-tenancyhard-isolation hard-isolation
MCPyes — official AWS Labs Amazon Neptune MCP server (openCypher queries, schema and status for Neptune Analytics graphs) yes — official diffbot/diffbot-mcp server (extract, search_web, crawl, entity resolution tools)
A2Ano Google A2A (Agent2Agent) integration documented as of 2026-05. no Google A2A (Agent2Agent) integration documented as of 2026-05.
OpenTelemetryfirst-class — CloudWatch / OTel no first-party OpenTelemetry exporter documented; standard logs/metrics typically available.
Optimised forrelationship modeling + reasoning + governance over pure vector relationship modeling + reasoning + governance over pure vector
Anti-fitnot for purely-vector or simple-RAG use cases (graph adds setup cost) not for purely-vector or simple-RAG use cases (graph adds setup cost)

Pros & cons

Amazon Neptune Analytics

Pros: Managed graph database with vector + graph hybrid for AWS-native architectures; first-class integration with Bedrock and SageMaker.

Cons: AWS-only; vector + graph hybrid is newer than dedicated competitors; pricing complexity around graph queries.

Diffbot

Pros: Pre-built knowledge graph of the web (KGoW) — you don't build the graph, you query someone else's; saves enormous extraction cost.

Cons: Quality is bounded by Diffbot's extraction; no schema control; not appropriate for proprietary internal data.

Rows last verified 2026-10-27 / 2026-10-27. Data is CC-BY-4.0 — see how to read this.