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The increasing popularity of cloud storage has led many organizations that dealing with critical data (financial, medical, telecoms data) to consider moving data out of their data centers into the cloud storage. However, using a single cloud storage provider raises concern such as having a single point of failure. Furthermore, despite their popularity, vendor locks-ins cloud solutions are not a natural fit-for-all as they are plugged with issues related to electricity consumption and security and raise privacy concerns. Striping data across multiple clouds storage to provide fault tolerance and deploying lightweight cloud solutions to avoid vendor lock-in are the solutions to these problems. In this paper, we survey different multiple clouds storage systems: how they are designed and implemented; their strengths and weaknesses. We also conduct an analysis of different redundancy schemes and compare emulation and experimentation to assess the relevance of using emulation when cost and availability do not allow prototyping. Cloud Computing Cloud Storage, Regenerating codes, Erasure Codes, Replication