Customers

One of the world’s largest international online sports betting providers, uses transactional data and operational monitoring in a smattering of applications that serve over 30,000 markets.

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Betfair

Betfair, one of the world’s largest international online sports betting providers uses transactional data and operational monitoring in a smattering of applications that serve over 30,000 markets. Historically, their applications have run on Oracle, which they felt was reliable and well known, but had a few issues including impedance mismatch with object-oriented languages and scaling, among others. The company turned to NoSQL for its scalability, fast lookups, integration with continuous delivery, and ultimately, reduced time to delivery. Teams throughout the company began using a multitude of different NoSQL databases including MongoDB, Cassandra, HBase, CouchDB, Redis, and Memcached. In 2013, the company began to question whether the NoSQL solutions they had chosen were the optimal fit for the applications they were being deployed for. They started their investigation by evaluating all NoSQL solutions, adding Couchbase into the mix, and discovered that Cassandra was one of the solutions that was not a good fit for their use case. Couchbase replaced Cassandra in this instance and in their Memcached instance because Couchbase was fast, deterministic, avoided cold cache, and was considered a far better option than their current solution. Couchbase is now Betfair’s strategic document NoSQL solution and processes 30,000 bets per minute, across 140 countries from more than 4 million funded user accounts.

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Video News

See how Couchbase helps Pokemon Go to keep up with million active daily users and their accounts. Also, learn why Pokemon Go replaced SQL Server with Couchbase.

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POKÉMON GO

Pokémon Trainer Club, the legacy profile management service supporting Pokémon Go and other Pokémon apps, was built on top of a relational database. While it was capable of supporting existing users, it could not scale to support the millions of new users expected after launching Pokémon Go. The Pokémon Company International needed a database capable of scaling, so it chose Couchbase. With Multi-Dimensional Scaling and N1QL, administrators were able to cope with launch traffic by scaling the query and index services independently rather than scaling the entire database – eliminating the need to rebalance or “move the data around,” a process with significant overhead.

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Couchbase helps this top tier mobile gaming scales with ease

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Super Evil Megacorp

Super Evil Megacorp has the simple, yet ambitious goal of providing the best online and mobile gaming experience in the world. Couchbase became an essential part of that quest when Super Evil Megacorp’s previous platform reached maximum capacity. If any game experiences lag or downtime, it can be disastrous because players are notoriously quick to jump to the competition when games falter. This became a real risk for Super Evil Megacorp because their platform was extremely difficult to scale. Couchbase proved to be the perfect solution. It not only delivered sub-millisecond latency while getting back more data than the previous platform, but it also enabled Super Evil Megacorp to migrate their game modules and player accounts without any downtime. Now, using Couchbase’s Multi-Dimensional Scaling, the company can flexibly grow its architecture however and whenever it needs to. Because they can now use commodity hardware, the company expects to cut its database costs by 60%-70%. And because their core team can now spend more time on innovation instead of managing crises, they’re a giant step closer to revolutionizing the gaming industry.

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Case study

Solutions

Catalog and Inventory

Combine product and inventory data in real time and scale to millions of products and requests per second to present the right data at the right time.

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