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The recent growing interest on highly-available data-intensive applications sparked the need for flexible and portable storage technologies, e.g., NoSQL databases. Unfortunately, the lack of standard interfaces and architectures for NoSQLs makes it difficult and expensive to create portable applications, which results in vendor lock-in. Building on previous work, we aim at providing guaranteed fault-tolerant techniques and supporting architectures to port or migrate data to and across heterogeneous NoSQL technology. To prove the effectiveness of our approach we evaluate it on an industrial case-study. We conclude that our method and supporting architecture offer an efficient and fault-tolerant mechanism for NoSQL portability and interoperation

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Data Intensive (DI) applications are becoming more and more important in several fields of science, economy, and even in our normal life. Unfortunately, even if some technological frameworks are available for their development, we still lack solid software engineering approaches to support their development and, in particular, to ensure that they offer the required properties in terms of availability, throughput, data loss, etc.. In this paper we report our action research experience in developing-testing-reengineering a specific DI application, Hegira4Cloud, that migrates data between widely used NoSQL databases. We highlight the issues we have faced during our experience and we show how cumbersome, expensive and time-consuming the developing-testing-reengineering approach can be in this specific case. Also, we analyse the state of the art in the light of our experience and identify weaknesses and open challenges that could generate new research in the areas of software design and verification