Aerospike In-Memory noSQL Database Powers Snapdeal

Snapdeal, India's largest Internet retail marketplace has deployed an Aerospike in-memory NoSQL database to provide consumers with the up-to-the-moment updates about product availability, pricing, and seller ratings to help make buying decisions informed and convenient.

Data Center Knowledge

February 28, 2014

1 Min Read
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Snapdeal, India's largest Internet retail marketplace has deployed an Aerospike in-memory NoSQL database to provide consumers with the up-to-the-moment updates about product availability, pricing, and seller ratings to help make buying decisions informed and convenient. The Snapdeal.com platform has a wide range of products from thousands of national, international and regional brands. Powered by the real-time big data processing capabilities of the Aerospike database, Snapdeal.com enables 20 million-plus shoppers to choose from 500-plus product categories from 20,000-plus sellers.

“Snapdeal has emerged as the largest online marketplace in India by providing a superior consumer experience with real-time responses about product availability, pricing and seller rankings,” said Srini Srinivasan, Aerospike founder and vice president of engineering and operations. “We are thrilled by the success of Snapdeal in using our in-memory NoSQL database to continue its rapid expansion of shoppers, sellers and merchandise while ensuring that it maintains the high responsiveness that consumers have come to expect.”

Snapdeal implemented the Aerospike database in combination with a MySQL database running on the Amazon Elastic Compute Cloud (EC2). One of the benefits that Snapdeal was able to see was that the in-memory Aerospike database maintains sub-millisecond latency while managing 100 million-plus objects stored in 32 GB of DRAM to support real-time dynamic pricing.

Aerospike also recently announced that it has been identified as one of the top vendors that offer an in-memory database in the TechRadar: Enterprise DBMS, Q1 2014  report published by Forrester Research. The report, which categorizes in-memory databases as being in the growth stage, states: “Forrester estimates that more than 50 percent of the enterprises will be using in-memory databases by 2017.”

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