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Cisco’s VSRM platform supports 100+ billion user sessions per year for cable companies all around the world. See how they leveraged Couchbase.

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Cisco

One of Cisco’s many industry solutions is VSRM (a video session and resource manager application), which cable companies use to enable their broadcast, on-demand, and DVR video services. Cisco’s VSRM platform supports 100+ billion user sessions per year for cable companies all around the world. The VSRM product was always very successful, but over time it became increasingly complex to scale, and customers also struggled with the failure rates of their legacy hardware. Cisco decided it was time to move the VSRM platform to NoSQL in the cloud to achieve the scalability it needed and the efficiency, reliability, and performance its customers demanded. After assessing numerous databases, including Cassandra and MongoDB, Cisco chose Couchbase for three primary reasons: It provides very strong data consistency that is comparable to a standalone system. It delivers reliable low latency, with consistent 500 microsecond response times at very large scale. And it provides great scalability in a distributed system. Cisco was also pleased to discover that Couchbase is “like a Swiss army knife,” for its clusters, giving the company a single tool to easily manage and maintain many aspects of its database.

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Within four years, Couchbase grew from a single proof of concept to the number one caching solution within LinkedIn.

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As the world’s largest online professional network, LinkedIn has to monitor and analyze massive amounts of data to ensure its site is available 24/7 for its 500+ million members. As its user base skyrocketed, LinkedIn quickly outgrew the limited flexibility and scalability of Oracle and turned to Memcached to run its source of truth (SoT) store. But Memcached had its own drawbacks, so LinkedIn continued looking at alternatives, including Couchbase, MongoDB, and Redis. Couchbase was the clear winner due to many distinct advantages. Most importantly, it has built-in replication and cluster expansion, automatic partitioning, extremely low latency, it does asynchronous writes to disk, and it enabled simple replacement of Memcached. Because Couchbase was so easy to use, LinkedIn’s site reliability engineers love it, and quickly expanded its use cases to include simple read-through cache, counter stores, de-duping stores, and their SoT store. Within four years, Couchbase grew from a single proof of concept to the number one caching solution within LinkedIn. Today, all in-memory storage in the LinkedIn datacenter is done by Couchbase, and it powers 10+ million queries per second across all servers and clusters.

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See how Nuance made the shift from Oracle to NoSQL – and how Couchbase won out between the top three NoSQL databases.

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Nuance

In 2013, Varolii, a Nuance Communications company, began evaluating backend solutions for its automated notifications product geared toward enterprises. For the previous 10 years, the company deployed an all-Oracle environment, but found that the monolithic platforms were difficult to manage from an engineering perspective. Varolii mobilized MongoDB for a small project which worked for the initial size and scope; however, efforts to expand to a second data center posed challenges with bidirectional replication issues. Upon review, Varolii identified must-have requirements including multi-master database replication, horizontal scaling, open source, and VM support. They evaluated Cassandra and Couchbase which were closely aligned, yet Couchbase outperformed Cassandra in ease of use. Further, Cassandra didn't provide the document database aspect they wanted to leverage in addition to key-value capability, and querying was also much more involved. Today, Nuance leverages Couchbase in their Varolii solution and uses the Hadoop integration to connect SQL-based analysis to the world of unstructured data.

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Learn how Paypal does payment processing and big data integration at massive scale with Couchbase.

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Paypal

In 2013, PayPal, a global leader in online payments solutions, took on NoSQL for several use cases. They initially leveraged Couchbase for their Media Network Advertising pipeline and applied Couchbase to build cross-channel audience analytics in profiling, segmentation, identity mapping and more. By 2014, the company was managing over 1 billion documents and 10 terabytes of data with Couchbase. PayPal extended Couchbase use into analytics for user information, processing millions of updates a minute in conjunction with Kafka and Hadoop.

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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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