AllegroGraph vs Apache HugeGraph
AllegroGraph
allegrograph.com
Apache HugeGraph
hugegraph.apache.orgSide by side
| Figure | AllegroGraph | Apache HugeGraph |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 1 |
| Spec score · Graph Databases | 9.0 (#3) | 8.7 (#5) |
| Deployment | The server runs natively on 64-bit Linux; Windows and macOS users can use hosted service, Docker, WSL or a Linux virtual machine. | The Server can be deployed with Docker, a binary archive, a source build, or a legacy one-click deployment tool. |
| Integrations | Documented integrations include MongoDB, Solr, Kubernetes, Docker, AWS and Azure marketplaces, plus Prometheus/Grafana monitoring. | The project documents integration with Spark and SeaTunnel and compatibility with Hadoop and Flink. |
| Product | AllegroGraph is a horizontally scalable semantic graph database for building Knowledge Graphs and integrating complex data. | Apache HugeGraph is a graph system covering graph database, graph computing, and graph AI. |
| Security | The editions comparison lists triple-level security, encryption in transit and at rest, encrypted backups, role-based access control, IP allowlists, and audit logs. | User authentication is disabled by default; the project advises enabling authentication and authorization, maintaining an IP allowlist, and avoiding direct public exposure of query endpoints in production. |
| Support | Franz states that it provides ongoing technical support and product maintenance for AllegroGraph customers. | The project directs users to its Apache community, GitHub issues and discussions, developer mailing list, and Slack channel. |
Plans
AllegroGraph
- FreeFree
- Free EditionFree
- EnterprisePriced on request
- Enterprise EditionPriced on request
In their own words
AllegroGraph
AllegroGraph is a semantic graph database for building knowledge graphs and integrating complex data. It combines graph data with vector storage, symbolic reasoning and large language model integration. GraphTalker accepts natural-language questions about knowledge graphs and returns verified answers through an iterative, agent-driven process. Supported technologies include RDF, OWL, SPARQL, SHACL and Prolog rules, alongside reasoning. FedShard provides horizontal sharding and federation, combining query results from multiple machines. Analytics include geospatial, temporal and social-network analysis. Listed integrations include Solr, MongoDB and REST-based clients for Java, Python, RDF4J, Apache Jena and Lisp. The Free edition costs nothing and is limited to up to 5 million triples. Enterprise has no listed price and specifies unlimited triples with no server limit. AllegroGraph is available as a download or through cloud hosting, including AWS Marketplace and Azure Marketplace. The server runs natively on Linux x86-64; Windows or macOS use is recommended through a Linux virtual machine or Docker container.
Apache HugeGraph
Apache HugeGraph is an open-source graph system combining a graph database, graph computing, and graph AI. It supports Gremlin and Cypher/OpenCypher queries, a REST API, ACID transactions, graph algorithms, and vector search. HugeGraph-AI adds Python clients, graph machine-learning tools, and LLM tools for knowledge-graph construction and GraphRAG applications. Storage options include RocksDB for standalone use, HStore for distributed storage, and HBase. The project documents integrations with Spark and SeaTunnel and compatibility with Hadoop and Flink. Its toolchain provides graph loading, visualization, backup, restore, and migration; Hubble is a web interface for visualization and management. Documentation covers standalone deployments up to 2 TB and distributed deployments up to 1 PB. The project describes high-speed imports and millisecond-level real-time queries for hundreds of billions of graph data. It runs on Linux and macOS and can be self-hosted. The open-source plan costs nothing. Java 11 is recommended and required from version 1.5.0.