From the Wires
TempoDB, the Time Series Database Service, Is First Purpose-Built for Big Data Indexed by Time
At Least One Type of Big Data Is Now Easy to Manage: Time Series Data; Infrastructure-as-a-Service and Designed for Developers, TempoDB Makes It Easy to Store and Analyze High-Resolution Data Indexed by Time From Sensors and Internet-Connected Devices; Un
By: Marketwired .
Jan. 15, 2013 08:03 AM
CHICAGO, IL -- (Marketwire) -- 01/15/13 -- Billions of sensors and connected devices -- like smart meters and servers -- generate billions of data points each millisecond, and much of this data is time series, or data indexed in order by time. Storage and analysis of time series data has posed a problem for developers; general-purpose databases like MySQL and MongoDB break as data volume increases. TempoDB (http://tempo-db.com) is the first purpose-built time series database service, making this type of big data easy to manage -- and just in time. Experts estimate in 10 years there will be 50 billion connected devices, and total data creation is set to increase by 44x.
In the past 6 months, TempoDB has seen 100x usage increases across industries including oil and gas, smart grid and energy management, internet of things, server/network infrastructure, renewable energy, medical devices, and finance. "Massive amounts of data are an incredible opportunity to better learn from the past, understand the present and predict the future; but first we need the right purpose-built tools," says Co-Founder and CEO, Andrew Cronk (@ajcronk).
TempoDB is the purpose-built time series database service to solve the three biggest time series data challenges:
1.) Billions of time series data points are either downsampled or thrown away after a set period of time due to a lack of long-term storage solutions. TempoDB customers store and analyze unlimited time series data starting at only $100/month for more accuracy and faster realization of trends and insights.
2.) With a general purpose database, more data storage means longer waiting periods for data retrieval; at large volumes, this could mean hours or even days of waiting for a query to return. TempoDB offers "Constant Query Speed," so whether TempoDB is storing 1 million data points or 10 billion, queries are returned at consistent, predictable speed. Save hours of time and frustration.
3.) Non-hosted time series databases require companies to manage their own server infrastructure, which is not always a competency. TempoDB's time series database is offered as-a-service. With a developer-friendly REST API, 3x data replication, and geographically distributed backups, it is easy to implement and secure with no maintenance required.
TempoDB customers have successfully stored billions of data points from millions of connected devices. Customers including Server Density, Ninja Blocks, Signal and sMeasure, along with many others in the sensor, smart meter, server and energy industries are leveraging this new time series database-as-a-service. With TempoDB, companies discover new ways to save resources, create opportunities, and improve the quality of their goods or services.
TempoDB is the time series database service, purpose-built to store and analyze billions of data points from billions of sensors and connected devices. It is the only infrastructure-as-a-service time series database, and is being leveraged by enterprise and small business alike. Founded by Andrew Cronk, Justin DeLay and Mike Yagley in Chicago, TempoDB aims to make sense of the measured world. TempoDB is a TechStars Cloud graduate, and is currently raising Series A funding.
Learn more about the founders, team and history here.
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