Discover how you can integrate YugabyteDB’s Retail Analytics sample dataset with an MCP server (Google’s MCP Toolbox for Databases). We demonstrate how to define simple SQL tools using tools.yaml and illustrate how an Agent Development Kit (ADK) agent can discover and utilize these tools. All necessary files and a minimal ADK Python agent are provided, ready for you to copy, paste, and run locally!
Black Friday 2023 witnessed significant growth in online sales, with Cyber Monday setting new records, highlighting the continued relevance of these peak shopping days. Despite the surge in online shopping, overall holiday spending is only expected to increase slightly, suggesting a shift towards more online purchases.
This blog highlights six moments that will increase the risk of an ecommerce website crash. Using examples, it illustrates the short- and long-term financial and reputational impact of such crashes, showing how by modernizing the data layer retailers can ensure site resilience, scalability, and consistent high performance and safeguard their share of the growing eCommerce market.
Yugabyte helps Fortune 500 companies modernize their systems of record, which are integral to the web-based interactions of their customers. These systems require accuracy, consistency, and resiliency. Strategies like replication and sharding help maintain high availability in a cloud native world.
During a massive Texas snowstorm, a power failure affected millions of homes, businesses, and even one of our largest retail customer’s data centers. Despite the widespread chaos, they managed to maintain application availability thanks to YugabyteDB’s geo-distributed cluster, a solution we’ll explore in this blog post.
Lokesh Duseja, Director of Digital Engineering and Architecture at Bed Bath and Beyond sat down with us to chat about their database modernization journey. Topics covered included why distributed SQL made sense, how they evaluated various vendors and tested YugabyteDB, and some of the big “aha” moments they had during this process.
In this blog post, we’ll explore how Kroger is making the right digital transformation investments using a modern data layer to power a flexible growth engine for their business.
At a recent Distributed SQL Summit, Sriram Samu, VP of Customer Technology at Kroger, discussed how his company’s data architecture unlocks digital and omnichannel experiences at scale. He provided a rare glimpse into how the business is bringing its data models into a new format. This format is easy to serve at speed, while still being able to integrate with legacy systems.
A few weeks ago, Yugabyte CEO Bill Cook and I had the pleasure of speaking with Paul Gaffney, the CTO and Chief Supply Chain Officer of Kohl’s during a virtual fireside chat as part of our Catalysts of Change series. Paul is a visionary tech leader with an extensive track record of driving technology change and innovation at companies like Dick’s Sporting Goods, The Home Depot, and AAA of Northern California,
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At the Distributed SQL Summit, Mahesh Tyagarajan – VP Engineering, Kroger – presented the talk “Technology Strategy and Transformation”. The talk focused around the technology infrastructure, current challenges, and the need faced by Kroger to transform its technology stack.
Kroger is the largest supermarket in the US, 2nd largest retailer in the US,
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