Apache HugeGraph vs Ultipa Cloud
Apache HugeGraph
hugegraph.apache.org
Ultipa Cloud
ultipa.comSide by side
| Figure | Apache HugeGraph | Ultipa Cloud |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 2 |
| Spec score · Graph Databases | 8.7 (#5) | 7.0 (#30) |
| Deployment | The Server can be deployed with Docker, a binary archive, a source build, or a legacy one-click deployment tool. | The product page says instances can be launched with one-click deployment and supports multiple regions across AWS regions worldwide. |
| Integrations | The project documents integration with Spark and SeaTunnel and compatibility with Hadoop and Flink. | Ultipa documentation lists G.V() and Visual Studio Code as third-party tools that connect with Ultipa. |
| Product | Apache HugeGraph is a graph system covering graph database, graph computing, and graph AI. | Ultipa Cloud is a fully managed graph database service with pay-as-you-go pricing. |
| Security | 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. | Ultipa lists SOC 2 Type II and ISO/IEC 27001 and says data is encrypted at rest and in transit. |
Plans
In their own words
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.
Ultipa Cloud
Ultipa Cloud has no write-up on Specifiction yet; its figures are above.