open source graph database performance comparison
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 |
|---|---|---|---|---|---|
1Neo4j | 13 | 0 | 95 | ||
2ArangoDB | 12 | 1 | 95 | ||
3NebulaGraph | 9 | 2 | 92 | ||
4OrientDB | 9 | 0 | 87 | ||
5JanusGraph | 8 | 0 | 85 | ||
6Memgraph | 3 | 1 | 59 | ||
7Dgraph | 3 | 0 | 57 | ||
8RedisGraph | 3 | 0 | 57 | ||
9MillenniumDB | 3 | 0 | 57 | ||
10QLever | 3 | 0 | 57 | ||
11AgensGraph | 3 | 0 | 57 | ||
12Sparksee | 3 | 0 | 56 | ||
13Aster | 2 | 0 | 55 |
Strategic Insights & Recommendations
Dominant Brand
Neo4j emerges as the most frequently mentioned and established graph database across all platforms, though newer solutions like Memgraph show superior performance in specific use cases.
Platform Gap
Google AIO emphasizes Memgraph's superior speed while ChatGPT and Perplexity focus more on Neo4j's ecosystem maturity and comprehensive feature set.
Link Opportunity
All platforms reference academic papers and benchmark studies, creating opportunities for linking to performance testing frameworks and detailed benchmark results.
Key Takeaways for This Prompt
Neo4j remains the most established option with strong ecosystem support and complex query capabilities.
Memgraph shows significant performance advantages for real-time and in-memory workloads.
Multi-model databases like ArangoDB and OrientDB offer flexibility for mixed data requirements.
Performance varies significantly based on specific use cases, requiring tailored benchmarking for optimal selection.
AI Search Engine Responses
Compare how different AI search engines respond to this query
ChatGPT
BRAND (10)
SUMMARY
Comprehensive comparison of 10 open-source graph databases including Neo4j, ArangoDB, RedisGraph, JanusGraph, MillenniumDB, Aster, QLever, NebulaGraph, AgensGraph, and OrientDB. Neo4j excels in complex relationship queries but may face scalability challenges. ArangoDB outperforms Neo4j in certain analytics tasks. RedisGraph offers sub-millisecond latency for real-time applications. MillenniumDB shows faster query execution than competitors. Performance varies based on use cases, data structures, and query patterns.
REFERENCES (10)
Perplexity
BRAND (7)
SUMMARY
Detailed analysis of open-source graph database benchmarks covering Neo4j, ArangoDB, JanusGraph, OrientDB, Dgraph, NebulaGraph, and Sparksee. Neo4j shows strong traversal performance with index-free adjacency. ArangoDB provides multi-model flexibility with good insertion speeds. JanusGraph optimized for distributed large-scale graphs. Benchmarking frameworks like GraphBenchmark and graphdb-benchmarks provide systematic comparison tools. Performance depends on specific workloads including insertion rates, query execution, and clustering algorithms.
REFERENCES (11)
Google AIO
BRAND (6)
SUMMARY
Performance comparison highlighting Memgraph as fastest for real-time workloads with 41x speed improvements over Neo4j in some cases. Neo4j excels at deep relationship traversals and complex queries. JanusGraph designed for massive distributed datasets. ArangoDB and NebulaGraph offer versatile multi-model or high-scale solutions. OrientDB provides fast multi-model performance avoiding expensive runtime joins. Choice depends on specific workload requirements and data characteristics.
REFERENCES (9)
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