Abstract Commercial relational database systems today provide only limited temporal support. To address theneeds of applications requiring rich temporal data and queries, we have built TIP (Temporal Information Processor), a temporal extension to the Informix database system based on its DataBlade technology.Our TIP DataBlade extends Informix with a rich set of datatypes and routines that facilitate temporal modeling and querying. TIP provides both C and Java libraries for client applications to access a TIP-enabled database, and provides end-users with a GUI interface for querying and browsing temporal data. 1 Introduction Our research in temporal data warehouses [9, 10] has led us to require a relational database system withfull SQL as well as rich temporal support, in order to experiment with our temporal view-maintenance techniques. Most commercial relational database systems support only a DATE type (or its variants). Anattribute of type DATE can be used to timestamp a tuple with a specific point in time (e.g., "this patient wastaking Prozac as of September 1, 1999"). But for general temporal modeling, a timestamp should be able to