As more and more platforms are proposed to deal with multi-model data, there are a few works on benchmarking multi-model databases. For instance, UniBenchPluciennik<ref>{{Cite journal|last=ChaoEwa Zhang,Pluciennik Jiahengand Kamil Zgorzalek|first=|date=|title=The Multi-model Databases - A Review|url=|journal=BDAS 2017|volume=|pages=141-152|via=}}</ref> Lu, PengfeiOliveira<ref>{{Cite Xujournal|last=Fábio Roberto Oliveira, YuxingLuis Chendel Val Cura|first=|date=|title=UniBench:Performance AEvaluation Benchmarkof forNoSQL Multi-Model DatabaseData ManagementStores Systemsin Polyglot Persistence Applications|url=https://www.cs.helsinki.fi/u/jilu/documents/UniBench.pdf|journal=TPCTCIDEAS 2018'16|volume=|pages=230-235|via=}}</ref>, and UniBench<ref>{{Cite journal|last=Chao Zhang, Jiaheng Lu, Pengfei Xu, Yuxing Chen|first=|date=|title=HolisticUniBench: evaluationA inBenchmark multifor Multi-modelModel databasesDatabase benchmarkingManagement Systems|url=https://linkwww.springercs.comhelsinki.fi/articleu/10.1007jilu/s10619-019-07279-6documents/UniBench.pdf|journal=Distributed andTPCTC Parallel Databases (2019)2018|volume=|pages=|via=}}</ref> proposed the first multi-model database benchmark, reviewed existing multi-model databases and made an evaluation effort towards comparing different multi-model databases.Specifically,and other SQL and NoSQL databases respectively. itThey pointed out that the advantages of multi-model databases over single-model databases are as follows : (i) they are able to ingest a variety of data formats such as CSV( including Graph, Relational), JSON into storage without any additional efforts, (ii) they can employ a unified query language such as AQL, Orient SQL, SQL/XML, SQL/JSON to retrieve correlated multi-model data, such as graph-JSON-key/value, XML-relational, and JSON-relational in a single platform. (iii) they are able to support multi-model ACID transactions in the stand-alone mode.
