This workshop is dedicated to address the challenges in managing large collections of data in the cloud computing environment, and identifying information of value to business, science, government, and society. The huge volumes of data in cloud computing environments pose big infrastructure challenges, including data storage at Petabyte scale, massively parallel query execution, facilities for analytical processing, and online query processing. Meanwhile, the emergence of large data centers and cluster computers have created a new business model, cloud-based computing, where businesses and individuals can rent storage and computing capacities, rather than make significant capital investments to construct and provision large-scale computer facilities. Cloud-based data storage and management is a rapidly expanding business. Whilst these emerging services have substantially reduced the cost of data storage and delivery, there is significant complexity involved in ensuring that they can sustain consistent and reliable operations under peak loads. A cloud-based environment has technical requirements to manage data center virtualization, lower cost and boost reliability by consolidating systems in the cloud. In addition, cloud systems ideally should be geographically dispersed, both to reduce their vulnerability to natural disasters and other catastrophes, as well as to bring data and computation closer to a possibly global user base. This trend brings rise to new and complex technical challenges in the areas of distributed data interoperability and mobility. Cloud computing has become a pillar of computer science industry and research, and data management in the cloud computing environment plays a key role. The CloudDB’2013 workshop aims to provide a forum for researchers and practitioners to exchange ideas and progress in the cloud data management area.