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 # UniBench - Towards Benchmarking the Multi-Model DBMS
-The Unibench project aims to develop a generic benchmark for a holistic evaluation of multi-model database systems (MMDS), which are able to support multiple data models such as documents, graph, and key-value models in a single back-end. UniBench consists of a set of mixed data models that mimics a social commerce application, which covers data models including JSON, XML, key-value, tabular, and graph. The UniBench workload consists of a set of complex read-only queries and read-write transactions that involve at least two data models.
+The [Unibench project](https://www.helsinki.fi/en/researchgroups/unified-database-management-systems-udbms/unibench-towards-benchmarking-multi-model-dbms) aims to develop a generic benchmark for a holistic evaluation of multi-model database systems (MMDS), which are able to support multiple data models such as documents, graph, and key-value models in a single back-end. UniBench consists of a set of mixed data models that mimics a social commerce application, which covers data models including JSON, XML, key-value, tabular, and graph. The UniBench workload consists of a set of complex read-only queries and read-write transactions that involve at least two data models.
 
 Please access our [DPD 2019 paper](http://link.springer.com/article/10.1007/s10619-019-07279-6) and [TPCTC 2018 paper](https://www.cs.helsinki.fi/u/jilu/documents/UniBench.pdf) to find more details: