pgFouine is a PostgreSQL log analyzer. It allows you to have a clear overview of your database activity, and can generate reports with slowest queries, most frequent queries, errors, graphs, and so on. It is written in PHP and is designed to parse huge log files with a low memory footprint.
databeans is a fully object oriented (not relational) persistence framework for Java, based on the use of the JavaBeans accessor methods to read and write data on disk instead of in the classes' instance fields. It is distributed (through RMI), transactional (with the 4 ANSI isolation levels supported), garbage collected (backed by an on-disk heap called "heapspace"), and has persistent versions of the Collection classes. It aims to provide a full-fledged solution for enterprise application development.
VectorSpace Database (VSDB) provides multi-dimensional similarity search capability in a robust server package. It is a server that allows any socket-capable programming language to post and search vectorspaces of multi-dimensional data. Data can be of any base datatype (e.g. text, objects, dating profiles, sessions, ecommerce orders, etc.). VSDB also offers a clustering capability that can display groupings of data based on common dimensions. A built-in thesaurus feature can help bridge multiple-similar-dimensions in search or clustering.
Zmanda Recovery Manager (ZRM) for MySQL simplifies life of a database administrator who needs an easy to use yet flexible and robust backup and recovery solution for MySQL server. With ZRM for MySQL, you can schedule full and incremental logical or raw backups of your local or remote MySQL database, perform a backup that is the best match for your storage engine and your MySQL configuration, get encrypted and compressed backups, get email notification about the status of your backups (including RSS feeds), monitor and get backup reports, and recover a database easily to any point in time or to any particular transaction.
Data stream processing toolkit (dspt) is intended for processing huge amounts (gigabytes) of data in an efficient manner. The structure of the data files is user-defined, and the queries are written in a declarative style. Currently included algorithms range from simple filtering on predicates to aggregation and sorting. It also includes some convenience classes (e.g. for accessing BerkeleyDB databases). The toolkit does not offer as wide a range of operations as an RDBMS, but some measurements of simpler queries have shown it to be more than 10x faster than PostgreSQL.