Combining language and database advances in an object-oriented development environment
OOPSLA '87 Conference proceedings on Object-oriented programming systems, languages and applications
Intermedia: A case study of the differences between relational and object-oriented database systems
OOPSLA '87 Conference proceedings on Object-oriented programming systems, languages and applications
The object data standard: ODMG 3.0
The object data standard: ODMG 3.0
A relational model of data for large shared data banks
Communications of the ACM
Making smalltalk a database system
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
A Multi-Set Extended Relational Algebra - A Formal Approach to a Practical Issue
Proceedings of the Tenth International Conference on Data Engineering
Procedures in Object-Oriented Query Languages
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
There is no impedance mismatch: (language integrated query in visual basic 9)
Companion to the 21st ACM SIGPLAN symposium on Object-oriented programming systems, languages, and applications
Eliminating impedance mismatch in C++
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Object/relational mapping 2008: hibernate and the entity data model (edm)
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Revealing the X/O impedance mismatch: changing lead into gold
SSDGP'06 Proceedings of the 2006 international conference on Datatype-generic programming
Universal Query Language for Unified State Model
Fundamenta Informaticae - Dedicated to the Memory of Professor Manfred Kudlek
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In this paper we discuss the misunderstanding that have arisen over the years around the broadly defined term of the object-relational impedance mismatch. It occurs in various aspects of database application programming. There are three concerns judged the most important: mismatching data models, mismatching binding times and mismatching object lifecycle. This paper focuses on the data model mismatch. We introduce the common state theory, i.e. a unified model of objects in popular programming languages and databases. The proposed model exploits and emphasizes common properties of all these objects. Using our model we demonstrate that there are notably more similarities than differences. We conclude that the impact of the mismatch of data models can be significantly reduced.