This blog demonstrates how common distributed SQL system patterns can create write hotspots in distributed architectures, and how ordering, key design, and access paths directly impact scalability. Understanding and addressing the trade-offs is now significantly simpler with YugabyteDB, which enables true lift-and-shift of high-write-throughput applications.
What happens when a relational database design built for e-commerce is pushed to planetary scale? For Shopify, the answer involved years of custom sharding, massive replication overhead, and growing application complexity. Discover how Shopify is navigating the move from large-scale MySQL deployments to YugabyteDB, and what that shift means for engineers building systems at extreme scale.
Discover how to turn scattered documents into a connected knowledge graph using Dify and YugabyteDB. Dify handles AI orchestration while YugabyteDB serves as the unified data backbone, consolidating vectors, relationships, and metadata in one operationally straightforward platform. The end result is a robust system that’s simpler to operate, cost-efficient to scale, and easier to take from prototype to production-ready platform.
A US-based bank revamped its data platform to meet the demands of the digital banking era and the need for real-time customer interactions. Central to their efforts was a unified data platform, capable of handling trillions of reads and writes while ensuring high availability and low latency, catering to diverse query patterns.
In an earlier blog, we broke down the definition of geo-distributed apps. So now let’s compare and contrast geo-distributed apps those apps that are deployed within a single data center or availability zone. A good way to make this comparison to understand the differences and find the similarities is to drill down into the architecture.
As you make progress with your infrastructure and application modernization efforts, it’s essential that you also update and invest in your cloud native data layer.
This blog discusses the newly released YugabyteDB on Tanzu Reference Architecture paper.
This blog post explores the most popular multi-region database deployment options by designing a data layer for a Slack-like corporate messenger.
In this short blog post we are going to give you a quick overview of the components that make up a YugabyteDB universe.
YugabyteDB is composed of nodes. We collectively refer to this collection of all nodes as a universe. These nodes can be physical machines, virtual machines or containers (e.g. Kubernetes).
A YugabyteDB universe is made up of one or more clusters. At a minimum it will contain a primary cluster,
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