The explosion of IoT devices and sensors in recentyears has led to a demand for efficiently storing, processing andanalyzing time-series data. Geoscience researchers use time-seriesdata stores such as Hydroserver, VOEIS and CHORDS. Many ofthese tools require a great deal of infrastructure to deploy andexpertise to manage and scale. Tapis’s (formerly known as Agave)platform as a service provides a way to support researchers ina way that they are not responsible for the infrastructure andcan focus on the science. The University of Hawaii (UH) andTexas Advanced Computing Center (TACC) have collaboratedto develop a new API integration that combines Tapis withthe CHORDS time series data service to support projects atboth institutions for storing, annotating and querying time-seriesdata. This new Streams API leverages the strengths of both theTapis platform and CHORDS service to enable capabilities forsupporting time-series data streams not available in either toolalone. These new capabilities may be leveraged by Tapis poweredscience gateways with needs for handling spatially indexed time-series data-sets for their researchers as they have been at UHand TACC.
