Also known as: PipelineDB, Stride API
Open-source time-series data analytics extension for PostgreSQL
Company was acquired
Event Year: 2013
Company was acquired
Event Year: 2013
PipelineDB was an innovative open-source extension for PostgreSQL, designed to facilitate real-time reporting. Its core function involved the continuous aggregation of substantial time-series data streams, transforming them into concise summary data. This approach proved particularly advantageous at scale, mitigating the inefficiencies associated with storing vast amounts of raw time-series data and repeatedly aggregating it. The value proposition of PipelineDB was directly correlated to the extent to which a given analytics application could benefit from continuous aggregation. Ideal use cases for PipelineDB centered around analytics scenarios that primarily required summary data, such as real-time reporting dashboards. However, it was less suitable for exploratory analytics performed on isolated datasets.
PipelineDB was an innovative open-source extension for PostgreSQL, designed to facilitate real-time reporting. Its core function involved the continuous aggregation of substantial time-series data streams, transforming them into concise summary data. This approach proved particularly advantageous at scale, mitigating the inefficiencies associated with storing vast amounts of raw time-series data and repeatedly aggregating it. The value proposition of PipelineDB was directly correlated to the extent to which a given analytics application could benefit from continuous aggregation. Ideal use cases for PipelineDB centered around analytics scenarios that primarily required summary data, such as real-time reporting dashboards. However, it was less suitable for exploratory analytics performed on isolated datasets.
Total Raised: Unknown (Y Combinator backed)
Last Round: Winter 2014
Total Raised: Unknown (Y Combinator backed)
Last Round: Winter 2014
B2B
B2B
B2B -> Infrastructure
B2B -> Infrastructure
Team size: 2
Hiring: No
Team size: 2
Hiring: No