Announcement
YugabyteDB - The Open-Source Distributed SQL Database for Mission-Critical Applications
YugabyteDB is an open-source, high-performance distributed SQL database for mission-critical applications that require high availability and global scalability. It's designed for cloud-native environments.
Project Introduction
Summary
YugabyteDB bridges the gap between traditional relational databases and NoSQL systems by offering a PostgreSQL-compatible, globally-distributed SQL database built for the cloud. It provides strong data consistency, high availability, and linear scalability.
Problem Solved
Traditional relational databases struggle with horizontal scaling, high availability, and global distribution requirements of modern cloud-native and internet-scale applications. NoSQL databases often compromise on data consistency and transactional integrity.
Core Features
PostgreSQL Compatibility
Provides a familiar PostgreSQL-compatible API, allowing developers to leverage existing tools and expertise without major code changes.
Horizontal Scalability
Scales horizontally across nodes and regions, handling millions of operations per second while maintaining low latency.
High Availability & Fault Tolerance
Ensures automatic failover and data replication across zones or regions, providing RPO=0 and RTO<60s.
Tech Stack
Use Cases
YugabyteDB is suitable for a wide range of applications that demand resilience, scalability, and strong data consistency across distributed environments. Typical use cases include:
E-commerce & Retail Platforms
Details
Supporting high-volume transactions with millisecond latency and ensuring continuous availability during traffic spikes or node failures.
User Value
Ensures transactional consistency and availability, crucial for orders, inventory, and customer data, even during peak sales events.
IoT & Real-time Data Management
Details
Handling millions of concurrent connections and rapidly changing data for real-time applications like IoT platforms or online gaming.
User Value
Provides the necessary scale and low latency to ingest, process, and serve massive volumes of time-series and sensor data.
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