Hypertable is an open source, high performance, distributed database modeled after Google's Bigtable. It differs from traditional relational database technology in that the emphasis is on scalability as opposed to transaction support and table joining. Tables in Hypertable are sorted by a single primary key. However, tables can smoothly and cost-effectively scale to petabytes in size by leveraging a large cluster of commodity hardware. Hypertable is designed to run on top of an existing distributed file system such as the Hadoop DFS, GLusterFS, or the Kosmos File System (KFS). One of the top design objectives for this project has been optimum performance. To that end, the system is written almost entirely in C++, which differentiates it from other Bigtable-like efforts, such as HBase. We expect Hypertable to replace MySQL for much of Web 2.0 backend technology. In this presentation, Doug will give an architectural overview of Hypertable. He will describe some of the key design decisions and will highlight some of the places where Hypertable diverges from the system described in the Bigtable paper.