DataStax
75 Case Studies
A DataStax Case Study
itembase is building a global eCommerce data network that standardizes and connects merchant data from multiple storefronts (Shopify, Magento, BigCommerce, etc.) so third‑party tools can access a single, consistent source. Facing high transaction volumes, disparate data formats and the need for automated, time‑series driven services (like customer retention and mail statistics), they needed a scalable, fault‑tolerant backend that could handle heavy writes and unpredictable load without a single point of failure.
itembase selected DataStax Enterprise (Cassandra + DSE Search/Solr) to gain high write throughput on commodity hardware, horizontal scalability, automatic rebalancing and a fault‑tolerant search layer. DSE Search powers automated time‑interval processes and exposes mail statistics as an API, enabling hassle‑free operations and reduced human intervention; the platform also positions itembase to add Spark and ML‑based behavioral analysis and anomaly detection as the network grows.
Ramo Karahasan
Co-Founder and Chief Technology Officer