How to Evaluate Cloud Databases for eCommerce

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View these slides to discover the advantages of a distributed cloud database designed for hybrid cloud along with examples of how companies are delivering innovative and personalized ecommerce experiences. We'll discuss the sources of common data challenges and the hidden impact they have on business, the database requirements for improved customer experiences and innovative application delivery, and how leading organizations such as eBay, Sony, Macy’s, and Comcast are transforming the eCommerce experience with DataStax Enterprise 6.

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1 . How to Evaluate Cloud Databases for eCommerce Shubhra Sinha, VP Strategic Marketing © 2018 DataStax, All Rights Reserved. DataStax is a registered trademark of DataStax, Inc. and its subsidiaries in the United States and/or other countries. Apache 1 Cassandra, Apache, Spark, and Cassandra are trademarks of the Apache Software Foundation or its subsidiaries in Canada, the United States and/or other countries. Confidential

3 .eCommerce Today: ~ 5 to 10 million page views every day hundreds of millions of live product listings To compete, enterprises need ecommerce applications that provide: • A real-time view across all customer interactions and touchpoints • An individualized experience based on declared preferences, behaviors, location • Dynamic pricing based on relevant factors • Enhanced customer visibility to product catalogs via innovative search • Real-time, and highly granular product classifications for personalized recommendations • Comprehensive payment options • End-to-end right-now processing of the eCommerce business

6 . Hybrid Cloud = Data Autonomy The ability to retain control of your data, independent of the underlying infrastructure Business Agility Security Sovereignty Compliance & Governance Data Portability 6 © DataStax, All Rights Reserved. Confidential

7 .The Right-Now eCommerce Data Framework DataSta x

8 . DataStax Enterprise (DSE) Powering the Right-Now Enterprise Built on Apache Cassandra™, the always-on, distributed cloud database designed for the hybrid cloud • Faster Performance • Mixed workloads • Multi-model • Advanced security 8 © DataStax, All Rights Reserved. Confidential

9 .Faster Performance • A one-second delay in page response can result in a 7% reduction in conversions. • And an ecommerce site has just three seconds to keep a customer waiting before almost half of them click away to a competitor. DSE provides: • 2x throughput for both reads and writes over Cassandra • 4x faster data loading and unloading into and out of DSE • 3x faster query performance DSE allows you to provide better-than-expected customer experience by processing more orders, fielding more queries, and performing faster searches.

10 .100% Uptime DSE offers: • No single point of failure, allowing you to add new commodity nodes to an existing cluster without having to take it down • Automatically write data across multiple nodes in a cluster • Replicate data to as many locations as needed across multiple data centers and/or cloud regions DSE ensures your ecommerce application remains available 24x7x365 and provides a consistent user experience no matter where the users are.

11 .Mixed Workloads DSE provides: • Support for full-text search and live indexing, relevancy, sub-string, and fuzzy queries over large data sets, aggregation, and geospatial matchups, • Real-time analytics and graph integrated with search, which allows you to correlate customer, store, product, and location data DSE enables you to quickly find data and provide a relevant, instantaneous search experience for your users and provide customers with hyper-personalized recommendations and offers.

12 .Multi-Model • eCommerce applications include various modules such as product catalogs, user profile management, fraud detection, recommendation engines, shopping carts, payment gateways, etc. • Each of these modules may have distinct data model requirements, which can make deciding which data model to use for which component difficult. DSE provides: • Support for multiple data models, including tabular, key-value, JSON, and graph, provides the flexibility to handle the different data model requirements of your ecommerce application with ease.

13 .Advanced Security DSE provides: • Unified authentication and authorization • End-to-end data encryption (in-flight and at-rest data) • Auditing • Role-based and row-level access controls via Kerberos and LDAP DSE Advanced Security enables you to keep customer and business data protected and meet ever-changing compliance requirements no matter whether the data is stored in the cloud or on-premises.

14 . DSE leads in CARDS Contextual: complete data layer comprising of database – including graph, search, and analytics – to instantly serve relevant information and experiences with every interaction Always-on: not simply “high availability,” but continuous availability without complexity and cost of multiple systems for replication and failover Real-time: meet business-critical instant requirements, no matter workload demands or location Distributed: achieve highest workload requirements no matter the location, with the ability to span data centers, cloud regions, and hybrid cloud Scalable: scales linearly and predictably. Scale out with commodity hardware or efficiently scale up with compute-intensive hardware © 2018 DataStax, All Rights Reserved. DataStax is a registered trademark of DataStax, Inc. and its subsidiaries in the United States and/or other countries. Apache 14 Cassandra, Apache, Spark, and Cassandra are trademarks of the Apache Software Foundation or its subsidiaries in Canada, the United States and/or other countries. Confidential

15 . CUSTOMER STORIES © 2018 DataStax, All Rights Reserved. DataStax is a registered trademark of DataStax, Inc. and its subsidiaries in the United States and/or other countries. Apache 15 Cassandra, Apache, Spark, and Cassandra are trademarks of the Apache Software Foundation or its subsidiaries in Canada, the United States and/or other countries. Confidential

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17 .Delighting millions of customers with individualized recommendations • 171 million buyers • More than 800 million live listings. Ebay • Manages over 250 TB of data in DSE clusters • Perform billions of read and writes each day • Complex, comprehensive product classifications power highly personalized recommendations and searches in real time

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