Top 43 Graph Databases
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| Database | Strengths | Weaknesses | Type | Visits | GH | |
|---|---|---|---|---|---|---|
| Highly scalable, Multi-model database, Supports SQL | Relatively new in the market, Limited community support | Document, Graph, Relational | 12.5k | 27.5k | ||
| Graph-based data model, High throughput, Scalable architecture | Steeper learning curve, Fewer integrations | Graph, Distributed | 21.3k | 20.4k | ||
| Multi-model capabilities, Flexible data modeling, High performance | Complexity in setup, Learning curve for AQL | Distributed, Document, Graph | 16.6k | 13.6k | ||
| Efficient for graph-based queries, Supports ACID transactions, Good visualization tools | Not suitable for very large datasets, Steep learning curve for complex queries | Graph | 290.3k | 13.4k | ||
| High performance on graph data, Horizontal scalability | Relatively new with a growing community, Complex to deploy and manage for beginners | Graph | 10.8k | 10.8k | ||
| Scalable graph data storage, Open source, Supports a variety of backends | Complex setup, Requires integration with other tools for full functionality | Graph, Distributed | 1.7k | 5.3k | ||
| Multi-model capabilities, Highly flexible schema support, Open-source | Complex setup and maintenance, Performance can degrade with complex queries | Graph, Document | 2.7k | 4.8k | ||
| Semantic modeling, Strong inference capabilities | Complex set-up, Limited third-party integration | Graph, Document | 1.1k | 3.8k | ||
| High throughput for relationship-based data, Optimized for social networking applications | Limited functionality for complex queries, Not actively maintained | Graph, Distributed | 0.0 | 3.3k | ||
| Graph database capabilities, Version control for data, RDF and JSON-LD support | Limited third-party integrations, Smaller community support | Graph, Document | 786 | 2.8k | ||
| High-performance graph processing, Scalable, Supports distributed computing | Limited adoption, Complex implementation | Graph, Distributed, In-Memory | 723.2m | 2.2k | ||
| Lightweight, Part of Apache TinkerPop framework, Graph traversal language support | Limited scalability, Not suited for large datasets | Graph | 5.8m | 2.0k | ||
| Graph processing, Optimized for complex queries, Flexible data model | Still emerging, Limited documentation | Graph | 2.1k | 1.4k | ||
| RDF and OWL support, Semantic web technologies integration | Limited to semantic web applications, Complex RDF and SPARQL setup | RDF Stores, Graph | 5.8m | 1.1k | ||
| Scalable graph database, Supports SPARQL queries, High-performance for RDF data | Limited support for complex analytics, Can be challenging to scale beyond certain limits | Graph, RDF Stores | 347 | 898 | ||
| Highly scalable for graph processing, Integration with Hadoop ecosystems | Requires expertise in graph algorithms, Relatively complex setup | Graph, Distributed | 5.8m | 617 | ||
| Multi-model, Scalable, Easy integration | Still maturing, Limited third-party support | Graph, Document | 261 | 499 | ||
| RDF data model, Supports SPARQL | Niche market, Limited adoption | RDF Stores, Graph | 0 | 458 | ||
| Blockchain-backed storage and query, ACID transactions, Immutable and versioned data | Relatively new with a smaller user base, Performance can be impacted by complex queries | Blockchain, Graph, RDF Stores | 2.2k | 340 | ||
| Optimized for deep-link analytics, Highly scalable graph processing | Steep learning curve, Relatively limited community support | Graph, Distributed | 9.6k | 269 | ||
| Represent complex relationships, Highly flexible model | Niche use cases, Lacks mainstream adoption | Graph, RDF Stores | 1 | 215 | ||
| Efficient graph processing capabilities, Supports large-scale graph traversal, Open-source and highly extensible | Limited documentation, Smaller community compared to other graph databases | Graph, RDF Stores | 0.0 | 9 | ||
| Global distribution, Multi-model capabilities, High availability | Can be costly, Complex pricing model | Document, Graph, Key-Value, Columnar, Distributed | 723.2m | 0 | ||
2008 | Semantic graph database, Supports RDF and linked data, Strong querying with SPARQL | Limited to graph-focused use cases, Complex RDF queries | RDF Stores, Graph | 39.5k | 0 | |
| Focus on real-time graph processing, High performance with in-memory technology | Limited adoption compared to major graph databases, Smaller community support | Graph, In-Memory | 15.9k | 0 | ||
 2017 | High scalability, Supports multiple graph models, Fully managed by AWS | AWS dependency, Complex pricing structure, Requires specific skill set | Graph, RDF Stores | 762.1m | 0 | |
2012 | Highly scalable, Semantic reasoning capabilities | Complex pricing model, Requires specialized knowledge for setup | RDF Stores, Graph | 18.0k | 0 | |
1980s | High performance, Scalable, Handles complex interrelationships | Steep learning curve, Limited community support | Object-Oriented, Graph | 382 | 0 | |
2010 | Scalability, High-performance graph queries | Complex setup, Limited community support | Graph, Distributed | 33 | 0 | |
2015 | Highly performant RDF store, Supports complex reasoning | Complex to implement, Limited to RDF | RDF Stores, Graph | 2.3k | 0 | |
2020 | Massively parallel processing, High-performance graph analytics | Complexity in setup, Limited community support | Graph, RDF Stores, Analytical | 5.4k | 0 | |
Unknown | Lightweight RDF store | Limited capabilities, Sparse documentation | RDF Stores, Graph | 32.6k | 0 | |
2017 | Multi-model database supporting SQL and graphs, Combines relational and graph processing | Solid understanding of SQL and graph databases required, Smaller community support | Graph, Relational | 0 | 0 | |
2018 | Real-time graph processing, Advanced graph algorithms | Specialized use case, Complexity | Graph | 426 | 0 | |
2006 | High performance for graph data, Good data compression | Limited community support | Graph | 0 | 0 | |
2015 | Optimized for complex queries, Highly scalable | Complex setup | Graph | 0 | 0 | |
Unknown | N/A | N/A | Graph, RDF Stores | 0 | 0 | |
Unknown | N/A | N/A | Graph, RDF Stores | 251 | 0 | |
2010 | RDF data storage, SPARQL query execution, Managed cloud service | Specialized use, Limited broader use outside RDF | Graph, RDF Stores | 154 | 0 | |
2020 | Optimized for hybrid workloads, High concurrency, Scalable | Limited adoption and community support, May require significant tuning for specific use cases | Graph, Distributed | 0 | 0 | |
2020 | Supports large-scale graph data, High performance, Flexible schema | Limited community support, Less mature compared to established graph databases | Graph, Analytical | 0 | 0 | |
2017 | Flexible graph model, Compatibility with Hadoop | Complex setup, Limited documentation | Graph, Distributed | 0.0 | 0 | |
2004 | Advanced graph analytics, Proven scalability and reliability, Supports multiple languages like SPARQL and Prolog | Complex setup and maintenance, Can be expensive for large-scale deployments | Graph, RDF Stores | 20.6k | 0 |
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