Apache HugeGraph vs Neo4j

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.

Neo4j is a property graph database for storing and querying connected data. It supports Cypher and GQL, ACID transactions, graph algorithms, replication, and vector search. Deployment options include self-hosted, hybrid, multi-cloud, and fully managed cloud, while the listed platform is self-hosted. Its tools include native language drivers, GraphQL and Cypher tools, visualization tools, and connectors for Confluent Cloud, Apache Kafka, cloud data warehouses, and BI tools. AuraDB Free costs nothing, billed monthly, and requires no payment method; it includes one database instance, single-zone deployment, and no service availability SLA. AuraDB Professional costs $65 a month and offers a 14-day free trial. AuraDB Business Critical costs $146 a month and includes a three-zone cluster and a 99.95% uptime SLA. AuraDB includes encryption at rest and in transit, and Neo4j provides role-based access controls. Neo4j Ops Manager administers and monitors deployments centrally. Support options range from best effort to 24x7 premium support with a one-hour response.