Deliver the shopping experience consumers demand.

Customers shopping online expect the highest level of performance on any device, anywhere. With increases in latency having substantial impacts on revenue. Amazon is well-known for publishing that 100 milliseconds of latency costs them 1% of sales. What might start as abandoned carts can rapidly lead to abandoned loyalty.

Riak KV provides the high-availability, low-latency architecture needed to deliver the “always on” shopping experience. Whether you are serving up ads or a huge product catalog, Riak KV is ideal for storing your content, user and session data.

Riak KV is a masterless, distributed database that provides retailers with high read and write availability, fault-tolerance and the ability to grow with low operational cost. Architectural, operational and development benefits for retailers include:

  • “Always On” Shopping Experience – Based on architectural principles from Amazon’s Dynamo paper, Riak KV is designed to favor data availability, even in the event of hardware failure or network partition. For retailers, failure to accept additions to a shopping cart, or serve product information quickly, has a direct and negative impact on revenue. Riak KV is architected to ensure the system can always accept writes and serve reads at low-latency.
  • Resilient Infrastructure – At scale, hardware malfunction, network partition, and other failure modes are inevitable. Riak KV provides a number of mechanisms to ensure that retail infrastructure is resilient and fault-tolerant. Data is replicated automatically within the cluster so nodes can go down but the system still responds to requests. This ensures read and write availability, even in serious failure conditions.
  • Low-Latency Data Storage – Many retailers now operate online and mobile experiences with an API or data services platform. In order to provide a fast and available experience to end users, Riak KV is designed to serve predictable, low-latency requests as part of a service-oriented infrastructure and is accessible via HTTP API, protocol buffers, or Riak’s many client libraries.
  • Scale to Peak Loads with Low Operational Cost – During major holidays and other peak load periods, many retailers have to quickly and significantly increase their database capacity. When new nodes are added, Riak KV automatically distributes data evenly to naturally prevent hot spots in the database, and yields a near-linear increase in performance and throughput when capacity is added.
  • Global Data Locality and Redundancy –Riak KV Enterprise’s multi-site replication allows replication of data to multiple data centers, providing both a global data footprint and the ability to survive datacenter failure.

    Find out more in our Riak KV for Retail and eCommerce Solution Brief:
    Read the Solution Brief



Best Buy builds for speed with Riak KV Enterprise.

Best Buy, the 12th largest retailer in the United States, selected Riak KV Enterprise as an integral part of its transformative push to re-platform its eCommerce system. Riak KV Enterprise with multi-cluster replication ensures product images, descriptions, product ratings, and reviews for are served up fast.

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Ideel uses Riak KV to better cater to customers.

Ideel, a flash shopping site, chose Basho Riak KV to power its online event based shopping experience. In addition, Riak is used for AB and multivariate testing to help determine user preferences for new features on the site. Plus, Ideel uses Riak to dynamically serve user-specific favorite products in a grid page.

   Read the Case Study

Retail & eCommerce Users

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Riak KV is uniquely architected to handle user and session data.


Riak KV is a fundamentally content-agnostic database that can store virtually anything.


Riak KV Enterprise with multi-cluster replication ensures business continuity in the event of an outage.


Riak S2 helps you efficiently store, organize, and access large objects.

Get the Riak KV for Retail Whitepaper and learn how Riak KV is helping leading retailers deliver an “always on” shopping experience.