An Efficient Design for Multiple Data Stores Cloud Applications
K. Praveen Kumar1, Gautam Rampalli2

1Dr. K. Praveen Kumar, Assistant Professor, Department of IT, KITS, Warangal, Telangana, India.

2Gautam Rampalli, Assistant Professor, Department of IT, KITS, Warangal, Telangana, India.

Manuscript received on 02 July 2019 | Revised Manuscript received on 16 July 2019 | Manuscript Published on 23 August 2019 | PP: 338-342 | Volume-8 Issue-9S3 August 2019 | Retrieval Number: I30620789S319/2019©BEIESP | DOI: 10.35940/ijitee.I3062.0789S319

Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (

Abstract: New data management prerequisites have been released by massive data development and cloud computing. Numerous applications really need to interact on the basis of the types they really need to control with a lot of heterogeneous data stores: standard data types, documents, social network graph data, simple key-value data, etc. A unifying data model is attracting considerable for developers due to flexible communication with heterogeneous relations and NoSQL data stores. The OPEN-PaaS-DataBase API (ODBAPI), which is a well-accepted REST API, allows developers to code their implementation software in the target data storage system separately. Secondly, we propose virtual data stores that interact with the integrated data store wrapped in ODBAPI. It was shown that this prototype responsible for probable solution technologically advanced capable to introduce OpenPaaS circumstances.

Keywords: NoSQL Data Stores, Relational Data Stores, ODBAPI
Scope of the Article: Mobile Cloud Computing and Application Services