Design and implementation of the Wisconsin storage system
Software—Practice & Experience
The Starburst long field manager
VLDB '89 Proceedings of the 15th international conference on Very large data bases
The performance of three database storage structures for managing large objects
SIGMOD '92 Proceedings of the 1992 ACM SIGMOD international conference on Management of data
System R: relational approach to database management
ACM Transactions on Database Systems (TODS)
On extending the functions of a relational database system
SIGMOD '82 Proceedings of the 1982 ACM SIGMOD international conference on Management of data
ICDE '96 Proceedings of the Twelfth International Conference on Data Engineering
Object and File Management in the EXODUS Extensible Database System
VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
An Efficient Database Storage Structure for Large Dynamic Objects
Proceedings of the Eighth International Conference on Data Engineering
Large-Scale earth science services: a case for databases
CoMoGIS'06 Proceedings of the 2006 international conference on Advances in Conceptual Modeling: theory and practice
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
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Originally Binary Large Objects (BLOBs) in databases were conceived as a means to capture any large data (whatever large meant at the time of writing) which, for whatever reason, cannot or should not be modeled relationally. Today we find images, movies, XML, formatted documents, and many more data types stored in database BLOBs. A particular challenge obviously is moving such large units of data as fast as possible, hence performance benchmarks are of interest. However, while extensive evaluations have been undertaken for a variety of SQL workloads, BLOBs have not been the target of thorough benchmarking up to now. TPC and SPC-2 standards do not address BLOB benchmarking either. We present a comparative BLOB benchmark of the leading commercial and open-source systems available under Unix/Linux. Commercial DBMSs are anonymized, open-source DBMSs benchmarked are PostgreSQL and MySQL.