JanusGraph supports various storage backends (Apache Cassandra, Apache HBase, Google Cloud Bigtable, Oracle BerkeleyDB, ScyllaDB).[5][6] The Scalability of JanusGraph depends on the underlying technologies, which are used with JanusGraph. For example, by using Apache Cassandra as a storage backend scaling to multiple datacenters is provided out of the box.
For contributions an individual or an organisation must sign a CLA paper.[30]
Literature
Kelvin R. Lawrence. PRACTICAL GREMLIN An Apache TinkerPop Tutorial. Version 282-preview. - February 2019, pp. 324 – 363.
Publications
Gabriel Campero Durand, Jingy Ma, Marcus Pinnecke, Gunter Saake: Piecing together large puzzles, efficiently: Towards scalable loading into graph database systems, May 2018
Hima Karanam, Sumit Neelam, Udit Sharma, Sumit Bhatia, Srikanta Bedathur, L. Venkata Subramaniam, Maria Chang, Achille Fokoue-Nkoutche, Spyros Kotoulas, Bassem Makni, Mariano Rodriguez Muro, Ryan Musa, Michael Witbrock: Scalable Reasoning Infrastructure for Large Scale Knowledge Bases, October 2018
Gabriel Campero Durand, Anusha Janardhana, Marcus Pinnecke, Yusra Shakeel, Jacob Krüger, Thomas Leich, Gunter Saake: Exploring Large Scholarly Networks with Hermes
Gabriel Tanase, Toyotaro Suzumura, Jinho Lee, Chun-Fu (Richard) Chen, Jason Crawford, Hiroki Kanezashi: System G Distributed Graph Database
Bogdan Iancu, Tiberiu Marian Georgescu: Saving Large Semantic Data in Cloud: A Survey of the Main DBaaS Solutions
Jingyi Ma. An Evaluation of the Design Space for Scalable Data Loading into Graph Databases - February 2018, pp. 39–47.