Empirical Investigation of Trends in NoSQL-Based Big-Data Solutions in the Last Decade

Gujral, Harshit; Sharma, Abhinav; Kaur, Parmeet

doi:10.1109/ic3.2018.8530582

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Cluster Analysis1

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“…‗DMFP' represents execution results when 6 features (Document-oriented, Graph, Key-Value, Wide-Column, Free and Proprietary) were considered for clustering. [67] AllegroGraph [65] Amazon Neptune [68] ArangoDB [70] Accumulo [66] BerkeleyDB [73] Cassandra [77] Cache [76] AnzoGraph [69] BaseX [72] Clusterpoint Database [80] BigTable [75] CDB or Constant Database [78] Cloudant [79] Azure Tables [71] CouchDB [83] CouchBase Server [82] GridGain Systems [93] etcd [90] Coherence [81] DataStax Enterprise Graph [86] CrateIO [84] HBase [4] NoSQLz [117] FoundationDB [92] CosmosDB [85] Dynamo [88] ElasticSearch [89] HyperTable [98] OpenLink Virtuoso [119] GT.M [54] DocumentDB [87] Hazelcast [95] eXist [91] MongoDB [6] Hibari [96] IBM Informix [99] HyperGraphDB [97] Jackrabbit [104] RethinkDB [128] IBM Informix C-ISAM [100] Lotus Domino [110] InfiniteGraph [102] OrientDB…”

Section: Cluster Analysismentioning

confidence: 99%