The tech behind 236 eHarmony members getting hitched daily

While eHarmony Inc.'s goal is to get its 20 million members married or into long-term relationships, the online matchmaker is a downright commitment-phobe in its use of technology.

For the business intelligence infrastructure that powers its matchmaking algorithms and maximizes the effectiveness of its numerous TV ads, the firm relies on four database and data warehousing products.

They include Oracle Database, the open-source MySQL database, another open-source data-crunching app, Hadoop, and data warehousing appliances from Netezza Inc.

For some IT managers, managing four such disparate products wouldn't worth the trouble. But not Joseph Essas, vice-president of engineering and operations for eHarmony.

"We always use multiple vendors for different things," Essas told the audience during his speech Wednesday at Computerworld's Business Intelligence Perspectives conference in Chicago.

Essas say she likes the "leverage from playing multiple people against each other." He fears that while settling down exclusively with one vendor might initially be a "bargain," it would eventually lead eHarmony to financially "bleed to death in years 2 to 5."

Essas' philosophy is interesting because it runs so counter to the site's goals, as a self-declared maker of long-term relationships.

eHarmony Inc. says that 236 of its 20 million members get married every day. That's more than 2% of American marriages per year, according to statistics based on online surveys conducted by a third party, Harris Corp., that were commissioned by eHarmony.

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Marriage is only one of "hundreds of metrics" that eHarmony "deeply cares about," said Essas.

Tracking and crunching all of these metrics is key, as eHarmony must produce good matches for its members as soon as they fill out their profiles at sign-up, lest they lose them to rival dating sites.

"Their attention span with us is very short," Essas said, "So we need to get it right on the first try, if you will."

Assigning matches is a complex mathematical problem called "graph partitioning," said Essas.

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