Ultipa Graph
Script error: No such module "Draft topics".
Script error: No such module "AfC topic".
 | |
| Developer(s) | Ultipa, Inc. |
|---|---|
| Stable release | 4.3
/ 2023 |
| Written in | C++ |
| Engine | |
| Type | Graph database |
| License | Proprietary commercial software |
| Website | www |
Search Ultipa Graph on Amazon.
Ultipa Graph is a property graph database developed by Ultipa, Inc., designed to provide efficient and scalable data management solutions for diverse applications.[1]. Ultipa Graph is categorized as a Hybrid Transactional/Analytical Processing (HTAP) database, emphasizing both real-time transactional processing and analytical capabilities within a single system.
Features[edit]
Property Graph Model: Ultipa Graph utilizes a property graph model, representing entities as nodes and relationships as edges, each with associated properties. This flexible data model enables users to express complex relationships and attributes within their data.
Hybrid Transactional/Analytical Processing (HTAP): Ultipa Graph is engineered to support both transactional and analytical workloads simultaneously. This capability allows users to perform real-time transactional operations while conducting complex analytical queries on the same dataset[2].
Performance and Scalability: Written in C++, Ultipa Graph is optimized for performance and scalability, catering to applications with large datasets and demanding processing requirements.[3]
Ultipa, Inc.[edit]
Ultipa Graph is developed by Ultipa, Inc., based in San Ramon, California. Ultipa, Inc. is member of the Linked Data Benchmark Council (LDBC), a non-profit organization aiming to define standard graph benchmarks to foster a community around graph processing technologies[4], and to investigate research questions on graph query languages and language extensions for graphs, including the Graph Query Language[5]
References[edit]
- ↑ "Company profile for: Ultipa on Bloor Research". Bloor Research. 2023-10-20. Retrieved 2023-12-23.
- ↑ Ricky, Sun (April 14, 2023). "Scalability design in a graph database without losing performance". The Knowledge Graph Conference 2023. doi:10.5281/zenodo.7827268.
- ↑ Sun, Ricky; Chen, Jamie (2023-06-18). "Design of Highly Scalable Graph Database Systems without Exponential Performance Degradation". Proceedings of the International Workshop on Big Data in Emergent Distributed Environments. BiDEDE '23. New York, NY, USA: Association for Computing Machinery: 1–6. doi:10.1145/3579142.3594293. ISBN 979-8-4007-0093-4.
- ↑ "Announcing the LDBC Financial Benchmark Task Force". ldbcouncil.org. Retrieved 2023-12-24.
- ↑ "LDBC Graph Query Working Groups". ldbcouncil.org. Retrieved 2023-12-24.
External Links[edit]
This article "Ultipa Graph" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:Ultipa Graph. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
