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Astra DB for E-commerce
E-commerce is now at the heart of many businesses invested in enriching the customer experience. Industries include Retail, Finance, Travel, and Media & Entertainment. E-commerce and customer experience investments are driven by customer demand.
According to a survey conducted by PwC, 73% of all people point to customer experience as an important factor in their purchasing decisions.
A successful e-commerce platform requires some table-stakes services to enable rich customer experiences. These services include a well-maintained product catalog (with real-time inventory management) with filtering and search capabilities, a shopping cart with the ability to save products, wish lists, and apply promo codes, and a payment service to convert the intent to purchase into reality. Other key capabilities such as account profiles, personalization engines, and social media streams are also important. All these services are instrumental in defining the customer experience, and if done right, can create more revenue opportunities for the business.
Why Astra DB for E-commerce?
Scale without Compromise
Easily accommodate hundreds of thousands of queries with low read/write latencies for browsing product catalogs and managing shopping carts with Astra DB. Allow product catalog and shopping cart experiences to scale to a large number of customers without compromising customer satisfaction. Enable your customers to browse for more products quickly and have a delightful e-commerce buying experience with Astra DB.
Access Data with Multi-model Flexibility
Harness data with Astra DB's multi-model flexibility. Product catalogs and shopping carts need to manage a variety of products, with a variety of attributes (since specifications & descriptions change depending on type of products). This data can easily be managed with Astra DB's multi-model flexibility. Astra DB supports Document (JSON), REST, GraphQL and gRPC APIs to represent your product categories as needed for an optimum shopping experience.
Data Pipelines for Real-time Catalog and Cart Updates
Create real-time data pipelines for analytics with CDC (Change Data Capture) for Astra DB, powered by Astra Streaming. Send data from Astra DB immediately to distributed search engines, machine learning (ML) models and data warehouses (DWH) for near real-time search and analytics, recommendations and actions. Improve e-commerce customer experience with real-time updates to product availability, dynamic pricing and shipping status powered by insights from these data pipelines.
Choose any Cloud
Span across multiple data centers or cloud regions and deploy in AWS, GCP and Azure, while maintaining compatibility with open-source Cassandra with Astra DB. Expand to geographies and scale your e-commerce businesses with Astra DB's multi-cloud flexibility. Increase TCO savings by reducing overhead of installation and maintenance with Astra DB.
Architecture for E-Commerce Applications
Astra DB can connect data from product catalogs and shopping carts with customers, for a rich e-commerce experience. CDC and Astra streaming can easily create real-time data pipelines between Astra DB and distributed search engines (like ElasticSearch) and data warehouses (like Snowflake and others). These integrations enable real-time search and analytics on product catalogs and shopping carts (examples include real-time inventory updates and dynamic pricing).
Astra DB Example Data Model & Queries for E-Commerce
DataStax recommends the following data model for an e-commerce application to store shopping cart data with items, prices and quantities. The various queries that can be performed on the shopping cart include adding/removing items, changing quantities, querying for the active shopping cart, and saved carts.
For more information on the shopping cart data model, please see our data modeling library.
Industry & Customer Success
Siggy.ai is an artificial intelligence-driven recommendation app for Shopify webshops. While Siggy.ai was building out its artificial intelligence-driven Shopify app, it found key specialized operations he needed were only available on DataStax Astra DB.
FINN.no, a leading classified advertising company in Norway, implemented Astra DB and worked with DataStax on supporting the performance and availability levels of their personalization engine. This helped the company's Data Intelligence team deliver the speed of recommendations that the FINN.no team required. Additionally, implementing Astra DB also helped more organizations within the Schibsted Group (FINN.no's parent company) to make use of personalization and data science in their day-to-day activities.
Read how Finn.no uses Astra DB to power their classified ads
Siggy.ai is an artificial intelligence-driven recommendation app for Shopify webshops. While Siggy.ai was building out its artificial intelligence-driven Shopify app, it found key specialized operations he needed were only available on DataStax Astra DB.
FINN.no, a leading classified advertising company in Norway, implemented Astra DB and worked with DataStax on supporting the performance and availability levels of their personalization engine. This helped the company's Data Intelligence team deliver the speed of recommendations that the FINN.no team required. Additionally, implementing Astra DB also helped more organizations within the Schibsted Group (FINN.no's parent company) to make use of personalization and data science in their day-to-day activities.
Read how Finn.no uses Astra DB to power their classified ads
