Session
Computer Science and Communication Engineering
Description
Big data management is a real challenge for traditional systems. The experimental evaluation is performed on measurement of performance of five different databases with an open non-relational dataset. It was structured and tested separately in each store, giving some advantages and limitations to them from a practical point of view. The results are drawn based on the throughput per number of users executed respectively. It was loaded and executed more than a million of records in each and every database. Following its semi-persistent model, Redis performed better than other databases.
Keywords:
Non-relational data, Big Data, Cassandra, Couchbase, HBase, MongoDB, Redis
Session Chair
Edmond Jahjaga
Session Co-Chair
Ramiz Hoxha
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-437-96-7
First Page
60
Last Page
73
Location
Lipjan, Kosovo
Start Date
31-10-2020 9:00 AM
End Date
31-10-2020 10:30 AM
DOI
10.33107/ubt-ic.2020.508
Recommended Citation
Jajaga, Edmond and Hasaj, Edi, "Performance Evaluation of Non-Relational Data on Big Data Environments" (2020). UBT International Conference. 313.
https://knowledgecenter.ubt-uni.net/conference/2020/all_events/313
Included in
Performance Evaluation of Non-Relational Data on Big Data Environments
Lipjan, Kosovo
Big data management is a real challenge for traditional systems. The experimental evaluation is performed on measurement of performance of five different databases with an open non-relational dataset. It was structured and tested separately in each store, giving some advantages and limitations to them from a practical point of view. The results are drawn based on the throughput per number of users executed respectively. It was loaded and executed more than a million of records in each and every database. Following its semi-persistent model, Redis performed better than other databases.