Providing big data applications with fault-tolerant data migration across heterogeneous NoSQL databases

Abstract

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.