A Perfect Match – Matrimony.com and Vertica

Posted March 5, 2019 by Jeff Healey, Vice President of Marketing, Vertica Product Group in Micro Focus

Woman's hand with ring and henna tattoos in man's hand in embroidered sleeve
If you have ever sought a romantic match in India, chances are you have visited Matrimony.com. According to the Times of India, 92% of singles in India seek love on matrimony sites. Matrimony.com’s flagship brand, BharatMatrimony, alone has more than 4,000 associates serving more than three million active members.

Matrimony.com CEO receives award But, how does Matrimony.com connect singles so accurately and effectively through its online profile matching? Data analytics, of course. Really fast analytics at scale.

Congratulations to the Matrimony.com team! YourStory recently recognized Matrimony.com CEO Murugavel Janakiraman as a “Disruptor” in the Technlogy domain.

After Some Database Courting, Matrimony.com and Vertica Tie the Knot

The company relied on a traditional database and Hadoop to store temporary data, but, as Ramakrishnan Venkataramanan, Associate Vice President, Decision Support Systems, explains, “As our business, and therefore our data, grows, our main problem was report processing time. This could take too long to deliver insights for dynamic decision making by our leadership team.”

Matrimony.com needed a scalable data analytics solution that would slot into their existing processes, at a minimum cost. The vision was a central data warehouse for all analytics and reporting purposes.

Ramakrishnan and team investigated all the options available, including Greenplum, and IBM Netezza. Vertica not only outperformed them all, but offered a straightforward cost on a per-terabyte basis without hidden charges for disaster recovery, giving Matrimony.com the confidence to make the decision.

If you’re interested in learning more about how this Data Disruptor uses Vertica’s self-tuning capabilities, Flattened Tables, and Hadoop integration to improve productivity: Read the Full Case Study on This Data Disruptor.