Analysis of information sources in references of the Wikipedia article "TimescaleDB" in English language version.
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For example, the emergence of reliable, open-source, timeseries databases, such as InfluxDB and TimescaleDB, have made them indispensable tools upon which to build metric-driven workflows (Assay, 2019).The value in these specialized data-stores is in their singular focus around ingesting and vending massive amounts of tagged measurements at specific points in time. The optimization and specificity to common issues related to measurement in general --- as well as their open-source licenses --- have made them indispensable solutions for a wide range of needs requiring measurement at scale.
TimescaleDB is an open source database for time series data; we first heard about TimescaleDB when we investigated standalone PostgREST because it had TimescaleDB as a built-in extension.
TimescaleDB is an open source relational PostgreSQL database for time-based series data.
TimescaleDB shares some philosophical and performance characteristics with InfluxDB, a database supported out of the box by Pulsar IO.
Founded by Andrew Cheung and Ajay Kulkarni, Sensobi was a mobile address book that enabled users to record notes, set follow-up reminders, stay connected, and manage relationships. Sensobi received a small amount of funding and was acquired by GroupMe in 2011, when the app was relaunched as a mobile chat platform. Andrew is currently a technical lead at Signal Services and Ajay is cofounder and CEO of TimescaleDB.
Thus, TimescaleDB joins what is literally a crowd in the PostgreSQL community, but it is unique in being one of the few, if not the only, PostgreSQL variants that have been specifically designed for time series data.
