In the world of financial and energy trading, time is the most valuable commodity. Our Commodity DataServer delivers a comprehensive, real-time solution for research, analysis and trading that enables you to make the best decisions without delay. Commodity DataServer contains daily (7 day), intraday, and tick data values from over 280 sources available at a single location, along with a wide array of application tools with which to extract and analyze the data.
The Commodity DataServer starts with our patented time-series database - Historis - that enables lightning fast data storage and retrieval. We then load the database with clean, reliable historical market data that has been filtered through our Six Sigma quality assurance process. The result is complete, end-to-end solution that enables you to quickly and easily perform the most advanced research and analysis on the most comprehensive data set available.
Features and benefits of the Commodity DataServer include:
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Quality Assurance: we run 3,400 quality assurance phases each week on millions of data points - organizations can rest assured that all their traders are using the same clean, reliable data
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Unmatched performance: proprietary time-series database technology provides unlimited storage capacity and split-second retrieval speed
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Access to a complete set of analytic tools that make it possible to give everyone in your firm easy, controllable access to the data they need with minimal custom programming or consultancy
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Unparalleled access to the breadth and volume of energy and financial data from the most reliable sources, located in one centralized warehouse
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A host of API interfaces
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Easy to understand, near-English query language that requires minimal programming as well as instant answers to queries
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Data collection at rates exceeding thousands of ticks per second and sufficient throughput to globally serve thousands of workstations simultaneously
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Ability to save research and be automatically notified when query conditions recur
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Event data files used to visualize the impact of historic events on a chart series
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Click here for the Commodity DataServer's platform requirements.