Architecting for Performance: Integrating PowerApps with Oracle and SQL Databases

Authors

  • Sandeep Patil Shell

DOI:

https://doi.org/10.47941/ijce.3213

Keywords:

PowerApps, Oracle Integration, SQL Server, Database Performance, Custom Connectors

Abstract

As enterprises accelerate their digital transformation, the demand for low-code solutions like Microsoft PowerApps has grown significantly. Integrating PowerApps with enterprise-grade databases such as Oracle and Microsoft SQL Server enables organizations to rapidly build applications that leverage existing data infrastructures. Achieving high performance in such integrated environments presents several architectural and operational challenges. This paper examines best practices and architectural strategies for optimizing performance when integrating PowerApps with Oracle and SQL databases. The study explore core integration techniques, including the use of native connectors, on-premises data gateways, custom connectors, and Azure services such as API Management and Logic Apps. The paper highlights performance bottlenecks related to delegation limits, data volume, query complexity, and network latency. Security considerations such as authentication protocols, role-based access, and data loss prevention (DLP) policies are also discussed in the context of compliance-driven industries. Through detailed analysis and real-world case studies, present design patterns and tuning methodologies that enhance responsiveness, scalability, and maintainability of PowerApps solutions connected to complex data ecosystems. Address emerging trends and provide recommendations for future proofing low code architectures in hybrid cloud environments. This research serves as a practical guide for solution architects, developers, and IT leaders seeking to build performant, secure, and scalable PowerApps applications integrated with Oracle and SQL Server databases.

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References

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Published

2021-03-24

How to Cite

Patil, S. (2021). Architecting for Performance: Integrating PowerApps with Oracle and SQL Databases. International Journal of Computing and Engineering, 2(2), 1–10. https://doi.org/10.47941/ijce.3213

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Section

Articles