ArangoDB vs Diffbot
ArangoDB vs Diffbot: side-by-side comparison of two knowledge-graph platforms systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
Cost & capability
| ArangoDB | Diffbot | |
|---|---|---|
| Cost tier | mid | mid |
Where they differ (10)
Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.
| ArangoDB | Diffbot | |
|---|---|---|
| Type | Multi-model: graph + doc + KV + vector | Auto-extracted KG from web crawl |
| Created | 2014 | 2008 |
| Pricing | Pay-per-use | 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 |
| Funding | Series B · 2021-10 | $12.5M total (Seed + Series A 2016) |
| Backend storage | custom (RocksDB-backed multi-model) | custom |
| Deployment | Both | Managed-only |
| API surface | REST (HTTP), SDK: many | REST + GraphQL (DQL Knowledge Graph; Enhance, Extract APIs) |
| Embedding | BYO | locked |
| MCP | yes — community ravenwits/mcp-server-arangodb | yes — official diffbot/diffbot-mcp server (extract, search_web, crawl, entity resolution tools) |
| OpenTelemetry | first-class | no first-party OpenTelemetry exporter documented; standard logs/metrics typically available. |
At a glance
| ArangoDB | Diffbot | |
|---|---|---|
| Section | Knowledge-graph platforms | Knowledge-graph platforms |
| Tier | T1 | T1 |
| Type | Multi-model: graph + doc + KV + vector | Auto-extracted KG from web crawl |
| Created | 2014 | 2008 |
| License | BSL-1.1 (source-available; each release converts to Apache-2.0 four years after release) | — |
| GitHub | arangodb/arangodb — ~14.3k stars, active (commit date not captured) | — |
| Pricing | Pay-per-use | 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 |
| Funding | Series B · 2021-10 | $12.5M total (Seed + Series A 2016) |
| Backend storage | custom (RocksDB-backed multi-model) | custom |
| Deployment | Both | Managed-only |
| API surface | REST (HTTP), SDK: many | REST + GraphQL (DQL Knowledge Graph; Enhance, Extract APIs) |
| Embedding | BYO | locked |
| Multi-tenancy | hard-isolation | hard-isolation |
| MCP | yes — community ravenwits/mcp-server-arangodb | yes — official diffbot/diffbot-mcp server (extract, search_web, crawl, entity resolution tools) |
| A2A | no Google A2A (Agent2Agent) integration documented as of 2026-05. | no Google A2A (Agent2Agent) integration documented as of 2026-05. |
| OpenTelemetry | first-class | no first-party OpenTelemetry exporter documented; standard logs/metrics typically available. |
| Optimised for | relationship modeling + reasoning + governance over pure vector | relationship modeling + reasoning + governance over pure vector |
| Anti-fit | not 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
ArangoDB
Pros: Multi-model (graph + document + KV) in one engine — useful when memory crosses paradigms without managing multiple databases.
Cons: Multi-model adds complexity vs single-purpose engines; smaller community than Neo4j or MongoDB.
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.