vioscaleAI

Graph Databases

An independent, evidence-based ranking of 12 graph databases, scored on public signals with full provenance, never on user reviews or paid placement.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
Top signal weightsDevelopment activity 0.14Developer Q&A activity 0.14Security posture 0.12Capabilities 0.12
Rank by intent
BalancedMost adoptedMost actively maintainedMost secureBest value

Balanced is the citeable default. The facts never change, only how the signals are weighted.

Graph Databases ranked by vioscaleAI composite score
#SoftwareScoreConfidence
158Amazon NeptuneAuto-scaling graph database that improves generative AI accuracy through relationship data58medium · 73%
257FalkorDBA graph database for building AI applications with vector search and multi-tenant support57medium · 64%
355MemgraphIn-memory graph database for real-time AI systems and analytics55medium · 58%
455Neo4jA graph database platform for modeling data relationships and powering AI applications55medium · 69%
554JanusGraphA distributed, open-source graph database built for massive scale54medium · 67%
654OrientDBAn integrated data platform supporting graphs, documents, and search54high · 77%
750DgraphAn open-source, distributed database for managing large-scale graph data with real-time query performance50medium · 60%
845Apache AGEA PostgreSQL extension that adds graph database functionality for fast querying and real-time analysis45medium · 62%
941TigerGraphEnterprise graph database for analyzing data relationships41medium · 71%
1041NebulaGraphA scalable, distributed graph database for high-performance relationship analysis at scale41medium · 67%
1137KùzuAn embedded graph database with built-in vector and full-text search capabilities37medium · 65%
1237VirtuosoMulti-model database platform for knowledge graphs, semantic data, and enterprise integration37high · 77%
No tools on this page match that name.

Ranked by the vioscaleAI composite: independent signals, not user reviews. See the method.

Graph Databases compared

Head-to-head on the attributes that matter here, with a source and date on every value.

Graph Databases: common questions

How does vioscaleAI rank Graph Databases?

vioscaleAI ranks graph databases on a confidence-weighted blend of independent signals, weighted most on development activity, developer q&a activity, security posture. Scores come from public evidence such as adoption, activity and security posture, never from user reviews or paid placement.

What is the highest-scored tool in Graph Databases?

Amazon Neptune currently leads with a vioscaleAI composite score of 58/100. The full ranking, with the evidence behind every score, is on this page.

How many tools does vioscaleAI list in Graph Databases?

vioscaleAI currently lists 12 in Graph Databases, each with a dated, sourced profile.

Can a vendor pay to rank higher in Graph Databases?

No. Vendors can claim and correct their profile, but placement can never be bought. That independence is what makes the ranking trustworthy for buyers and AI.