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Informix TimeSeries - Benchmarks

IBM has conducted several Proof of Concepts (PoCs) with a number of companies using Informix TimeSeries as the enabling technology in the customer’s own MDM applications. In each PoC, Informix TimeSeries consistently outperformed the customer’s existing solutions, at times enabling up to 50 to 70 times faster processing of meter data, while requiring as little as 30 percent of the storage.

The benchmark was conceived and conducted to illustrate these benefits in tangible ways. It tested the preparation, loading and validation, estimation and editing (VEE) of meter data for a 10 million–meter utility, as well as a "day-in-the-life" scenario for a 100 million–meter utility. If you compare the performance of Affinity Meterflow with other MDM solution offerings that do not use Informix TimeSeries software, we believe you will conclude that these performance and scalability results are exceptional.

The results of this benchmark demonstrate the substantial business value that use of Informix TimeSeries combined with a proven MDM application can deliver to the energy and utilities industry. We invite the reader to compare these results with other published benchmark results.

Real-world Experiences!

Informix TimeSeries will sit at core of UK Smart Energy Cloud
IBM and Cable&Wireless Worldwide announced their collaboration to develop a new intelligent data and communications solution, UK Smart Energy Cloud, using Informix TimeSeries to support the UK's Smart Meter Implementation Program which aims to rollout more than 50 million smart meters in the UK.

Coldset Printing Partners ... The IBM Informix TimeSeries solution helps company track usage trends and analyze data over time
The IBM Informix TimeSeries solution helps the company track usage trends and analyze data over time.

Informix TimeSeries Benchmark Results

Informix TimeSeries resources

Learn how IBM Informix TimeSeries database software can help your IT infrastructure process smart meter data 25-70 times faster than a traditional database.