GraphDB vs Timbr

GraphDB7.9Visit Timbr7.8Visit

Higher score GraphDB #11 in Knowledge Graph Software 7.9/10 Free plan Free plan✓ 4 of 4 features Visit GraphDB

vs

Timbr #14 in Knowledge Graph Software 7.8/10 14-day trial Free trial✓ 4 of 4 features Visit Timbr

• GraphDB fits best

  Teams needing a full-featured RDF knowledge graph

• Timbr fits best

  Paid semantic virtualization with extensive BI access

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Side by side

Feature	GraphDB 7.9/10 Visit ↗	Timbr 7.8/10 Visit ↗
At a glance
Editor score	7.9	7.8
Ranking	#11 in Knowledge Graph Software	#14 in Knowledge Graph Software
Best for	Teams needing a full-featured RDF knowledge graph	Paid semantic virtualization with extensive BI access
Pricing model	Free plan + paid	Paid
Starting price	—	—
Free plan	✓ (best)	—
Free trial	—	14 days
Deployment	Cloud, Self-hosted, Desktop	Cloud, Self-hosted
Platforms	Web, Windows, macOS, Linux	Web, Linux
Support	Community, Docs	Tickets, Live chat, Phone, Docs · 24/7
Compliance	GDPR	ISO 27001, SSO/SAML, GDPR, HIPAA
Integrations	7 integrations	20 integrations
Built for	Small business, Enterprise	Mid-market, Enterprise
Features GraphDB 4/4 · Timbr 4/4
Ontology modeling	✓	✓
Semantic reasoning	✓	✓
RDF/SPARQL support	✓	✓
Graph visualization	✓	✓
Specs
Import formats	Turtle, Turtle-star, N-Triples, N-Quads, JSON-LD, NDJSON-LD, RDF/JSON, RDF/XML, TriX, TriG-star, BinaryRDF	OWL, CSV
Deployment	Both	Both
Query languages	SPARQL	SQL, SPARQL
Our review
Pros	RDF 1.1, SPARQL 1.1, RDF-Star, and SPARQL-Star support Reasoning across RDFS, OWL profiles, and custom rulesets Visualization, imports, connectors, and enterprise clustering	Visual and SQL-based ontology modeling with semantic reasoning Virtual knowledge graphs with caching, governance, and lineage Broad BI, data science, and AI integrations
Cons	Enterprise pricing is custom GraphDB Free uses a single-core license Free edition provides community support	No free plan; access requires a paid subscription SQL-native approach may not suit RDF-first teams Enterprise plan limits are customized rather than standardized
Our verdict	GraphDB is an RDF-based semantic graph database for organizations building and managing knowledge graphs. It is suited to teams that need RDF and SPARQL support alongside ontology-driven inference, consistency checking, custom reasoning… Read the review →	Timbr is an ontology-based semantic layer for data teams, analysts, engineers, data scientists, and enterprises that need governed access to multiple data sources. It creates virtual knowledge graphs over existing systems, allowing teams… Read the review →

Strengths and trade-offs

• GraphDB — where it wins

  • RDF 1.1, SPARQL 1.1, RDF-Star, and SPARQL-Star support
  • Reasoning across RDFS, OWL profiles, and custom rulesets
  • Visualization, imports, connectors, and enterprise clustering

  Where it doesn't

  • Enterprise pricing is custom
  • GraphDB Free uses a single-core license
  • Free edition provides community support

• Timbr — where it wins

  • Visual and SQL-based ontology modeling with semantic reasoning
  • Virtual knowledge graphs with caching, governance, and lineage
  • Broad BI, data science, and AI integrations

  Where it doesn't

  • No free plan; access requires a paid subscription
  • SQL-native approach may not suit RDF-first teams
  • Enterprise plan limits are customized rather than standardized

• GraphDB7.9/10 · Free plan

  A capable RDF knowledge graph database with free access and enterprise scaling.

  Visit GraphDBFull verdict →
• Timbr7.8/10 · 14-day trial

  A broad semantic virtualization platform for governed BI and AI access.

  Visit TimbrFull verdict →