A comparison between MongoDB & CouchDB on search performance : A comparative analysis
When storing and handling Big Data sets a database management system (DBMS) can be implemented to administrate and query databases. The Swedish Internet is a big unstructured data set that contains all published Swedish Websites since the late 1990’s. NoSQL DBMSs such as MongoDB and CouchDB are part...
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| Format: | Others |
| Language: | English |
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Högskolan i Skövde, Institutionen för informationsteknologi
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15415 |
| Summary: | When storing and handling Big Data sets a database management system (DBMS) can be implemented to administrate and query databases. The Swedish Internet is a big unstructured data set that contains all published Swedish Websites since the late 1990’s. NoSQL DBMSs such as MongoDB and CouchDB are particularly suited to store the Swedish Internet. Comparing the search performance of MongoDB and CouchDB in this scenario required the insertion of a subset of the Swedish Internet, querying of the data and measuring the search performance. The results show that CouchDB has in general a superior performance but comes with a drawback which is its indexation time. If a query will only be executed a few amount of times MongoDB is generally the better choice. Further studies needs to be conducted in order to assess the performance of NoSQL DBMSs over the whole dataset. |
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