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Comprehensive economic and financial time-series database covering 150 countries and 6,500 different data series.
So we realized that we could better solve the machine data problem by developing a time-series database rather than a data-analysis platform.
We realized that everybody had slightly different needs, but what was common to all of them was a time-series database.
Subsequence matching is an operation that searches for such data subsequences whose changing patterns are similar to a query sequence in a time-series database.
A time-series database is a set of data sequences, each of which is a list of changing values of an object in a given period of time.
Representative investments from a portfolio of dozens of companies include Proterra, an electric bus company; Farmer's Edge, an agricultural analytics company; and OSIsoft, a time-series database company that handles industrial Internet of Things data.
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Confluo supports a wide range of real-time streaming applications, ranging from network monitoring and diagnosis tools to time-series databases.
We have evaluated Confluo against a wide range of applications, including network monitoring and diagnosis, time-series databases, and pub-sub systems.
In this paper, we propose an efficient algorithm, called CFP, for mining closed flexible patterns in time-series databases, where flexible gaps are allowed in a pattern.
All in all, Confluo achieves 2-20x higher throughput and 2-10x latencyatency for inserts, and 1.5x-5x higher throughput and 5-20x latencyatency for time-range filters compared to state-of-the-art time-series databases.
InfluxData, the startup built on top of the open source time series database platform, announced it has received a $35 million Series C investment today led by Sapphire Ventures, the investment firm closely associated with enterprise software giant, SAP.
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CEO of Professional Science Editing for Scientists @ prosciediting.com