open source graph database solutions
AI Search Visibility Analysis
Analyze how brands appear across multiple AI search platforms for a specific prompt

Total Mentions
Total number of times a brand appears
across all AI platforms for this prompt
Platform Presence
Number of AI platforms where the brand
was mentioned for this prompt
Linkbacks
Number of times brand website was
linked in AI responses
Sentiment
Overall emotional tone when brand is
mentioned (Positive/Neutral/Negative)
Brand Performance Across AI Platforms
BRAND | TOTAL MENTIONS | PLATFORM PRESENCE | LINKBACKS | SENTIMENT | SCORE |
---|---|---|---|---|---|
1Dgraph | 13 | 1 | 95 | ||
2Neo4j | 11 | 2 | 94 | ||
3JanusGraph | 12 | 1 | 93 | ||
4NebulaGraph | 9 | 2 | 90 | ||
5ArangoDB | 10 | 0 | 88 | ||
6OrientDB | 9 | 0 | 86 | ||
7Memgraph | 7 | 4 | 78 | ||
8ONgDB | 5 | 1 | 64 | ||
9TerminusDB | 4 | 0 | 60 | ||
10GUN | 3 | 0 | 58 | ||
11Apache Giraph | 2 | 0 | 57 | ||
12HyperGraphDB | 1 | 0 | 55 |
Strategic Insights & Recommendations
Dominant Brand
Neo4j emerges as the most frequently mentioned and established graph database across all platforms, with consistent recognition for its maturity and Cypher query language.
Platform Gap
Perplexity provides the most detailed licensing and commercial considerations, while ChatGPT focuses on technical features and Google AIO emphasizes practical selection criteria.
Link Opportunity
All platforms reference official documentation and comparison resources, creating opportunities for linking to database-specific guides and performance benchmarks.
Key Takeaways for This Prompt
Neo4j Community Edition is the most widely adopted open-source graph database with strong ecosystem support.
Multi-model databases like ArangoDB and OrientDB offer flexibility by combining graph with document and key-value models.
Scalability-focused solutions like JanusGraph and NebulaGraph are designed for handling massive datasets across distributed systems.
Query language support varies significantly, with Cypher, GraphQL, AQL, and nGQL being the primary options for different databases.
AI Search Engine Responses
Compare how different AI search engines respond to this query
ChatGPT
BRAND (10)
SUMMARY
ChatGPT provides a comprehensive overview of 10 open-source graph databases, explaining each solution's key features, query languages, and use cases. It covers popular options like Neo4j with Cypher, ArangoDB's multi-model approach, Dgraph's GraphQL support, and specialized solutions like JanusGraph for scalability and GUN for decentralized applications. The response emphasizes technical specifications and practical considerations for selection.
REFERENCES (8)
Perplexity
BRAND (8)
SUMMARY
Perplexity offers an in-depth analysis of the best open-source graph databases for 2025, focusing on licensing models, scalability, and specific features. It provides detailed comparisons of ArangoDB, Neo4j Community Edition, Dgraph, JanusGraph, Memgraph, OrientDB, NebulaGraph, and HyperGraphDB, highlighting their strengths for different use cases from real-time streaming to massive scale deployments.
REFERENCES (12)
Google AIO
BRAND (7)
SUMMARY
Google AIO presents a concise overview of top open-source graph databases, categorizing them by key features and use cases. It covers Neo4j, ArangoDB, JanusGraph, Dgraph, NebulaGraph, Memgraph, and OrientDB, emphasizing the distinction between multi-model and pure graph databases, scalability considerations, query language support, and performance characteristics for different application needs.
REFERENCES (16)
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