Data Integration Using ODBC and JDBC Connectivity

Abstract

Data integration using ODBC and JDBC connectivity is important because enterprise systems often need to access and exchange data across different relational databases, applications, reporting tools, and middleware platforms. ODBC and JDBC provide standardized connectivity interfaces that allow applications to query, retrieve, transform, and load data from heterogeneous database systems. Existing literature highlights driver configuration, connection pooling, SQL execution, transaction handling, metadata access, authentication, and error management as major practices in database connectivity-based integration. However, many organizations still face challenges such as driver incompatibility, slow connection performance, authentication errors, inconsistent SQL behavior, network latency, and weak monitoring of connection failures. This research is important because unreliable connectivity can affect data movement, reporting accuracy, application performance, and enterprise interoperability. This article discusses data integration using ODBC and JDBC connectivity, focusing on connection architecture, driver selection, database access methods, query execution, security configuration, error handling, and performance optimization. The study concludes that effective use of ODBC and JDBC improves cross-platform database access, strengthens integration reliability, reduces connectivity issues, and supports efficient enterprise data exchange.