From 3e4a7041db51bc8c08e10c8807a5932f46a1321c Mon Sep 17 00:00:00 2001 From: Hubert Zhang Date: Tue, 21 Oct 2025 20:19:07 +0800 Subject: [PATCH] Update README icon --- README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index c34601272c..2dad86f140 100644 --- a/README.md +++ b/README.md @@ -38,29 +38,29 @@ Explore [EloqDoc](https://www.eloqdata.com/product/eloqdoc) for more details, or ## Key Features -### ⚙️ MongoDB API Compatibility +### MongoDB API Compatibility Seamlessly integrates with MongoDB clients, drivers, and tools, enabling you to use existing MongoDB workflows with a distributed backend. -### 🗃️ Tiered Storage Architecture +### Tiered Storage Architecture EloqDoc seamlessly manages hot and cold data across **memory, local NVMe cache, and object storage**. Since NVMe storage is ephemeral and lost when a node crashes, EloqDoc uses it strictly as a cache for object storage. This design ensures that all data remains safe and durable in cross-AZ object storage while still benefiting from NVMe-level performance for frequently accessed data. -### 🌐 Truely Distributed Database +### Truely Distributed Database Supports **multiple writers** and **fast distributed transactions**, ensuring high concurrency and fault tolerance across a cluster without sharding complexity. -### 🔄 Elastic Scalability +### Elastic Scalability - Scales compute and memory **100x faster** than traditional databases by avoiding data movement on disk. - Scales storage independently, so CPU resources remain constant when data volume grows but traffic stays the same. - Scales redo logs independently to optimize write throughput. -### 🔥 High-Performance Transactions +### High-Performance Transactions Delivers **ACID transaction support** with especially fast distributed transactions, making it suitable for mission-critical applications. -### 🔒 Simplified Distributed Design +### Simplified Distributed Design Operates as a distributed database without requiring a sharding coordinator (e.g., `mongos`), reducing operational complexity and overhead.