Data as a service yearly). The drawbacks of data as a service are generally similar to those associated with any type of cloud computing, such as the reliance of the customer on the service provider's ability to avoid server downtime. Specific to the DaaS model, a common criticism is that when compared to traditional data delivery, the consumer is really just "renting" the data, using it to produce a graph, chart or map, or possibly perform analysis, but for data as a service, generally the data is not available for download. "Service automation units" (code that expresses the service interface) may contain methods for
Distributed Data Management Architecture named RDB (for relational database) and SQLAM (for SQL Application Manager). Transparency is a key objective of DDM architecture. Without recompilation, it should be possible to redirect existing application programs to the data management services of a remote computer. For files, this was largely accomplished by DDM clients at the interface/functional level, but what about the data fields in a record? Complete transparency requires that client application programs be able to write and read fields as encoded by their local data management system, regardless of how any remote server encodes them, and that implies automatic data conversions. For example, IBM