Bunny Database

Key Features

• •Global Multi-Region Replication: Bunny Database allows you to choose from 41 regions for your primary database and add read-only replicas in additional regions with a single click. This reduces latency for far-away users by up to 99% without any application changes, making it ideal for read-heavy workloads.
• •Serverless Spin-Down: When idle, the database automatically scales down to incur only storage costs, eliminating charges for unused compute. This pay-as-you-go model means you only pay for reads, writes, and storage, with transparent pricing: reads at $0.30 per billion rows, writes at $0.30 per million rows, and storage at $0.10 per GB per active region monthly.
• •Native SDK Support: Official libSQL SDKs for TypeScript/JavaScript, Go, Rust, and .NET provide a familiar programming experience. Alternatively, connect over HTTP using the SQLite wire protocol. This flexibility allows integration with any language or framework, simplifying development and deployment.
• •One-Click Deployment: Create a database in seconds with a name and optional region selection. The dashboard also offers quick connect access tokens, data inspection via SQL queries, and real-time metrics for latency, traffic, and storage usage—all in a few clicks.
• •Seamless Integration with bunny.net Ecosystem: Bunny Database works standalone or pairs with Edge Scripting and Magic Containers. Use access tokens as environment variables for scripts or container apps, enabling a unified global infrastructure for compute and data.
• •Read-Optimized Architecture: Based on SQLite, the service is designed for read-heavy use cases like catalogs, metadata filtering, user profiles, and app configuration. With multiple read replicas, it ensures fast query responses for users worldwide, improving application performance and user experience.

Use Cases

• •Global Product Catalogs: An e-commerce site can store product listings in Bunny Database with read replicas in every region a customer visits. This slashes page load times from hundreds of milliseconds to under 20ms, directly boosting conversion rates and user satisfaction.
• •User Profile Storage: A social media platform can store user profiles and preferences in a central database with read replicas spread across continents. When a user logs in from anywhere, their profile loads instantly, eliminating the lag of remote database calls.
• •App Configuration Management: A SaaS provider can store tenant configurations (feature flags, settings) in Bunny Database. Read replicas ensure that configuration changes propagate quickly to all regions, maintaining consistent behavior for users globally without central server bottlenecks.
• •Metadata and Filtering for Content Platforms: A media site uses Bunny Database to store tags, categories, and lookup data for articles and videos. When users filter or search, queries hit nearest replicas, returning results in milliseconds even for complex filters across large datasets.
• •Location-Based Directories: A real estate portal stores property listings with geographic metadata. With read replicas in each region, users browsing properties in their area get near-instant responses, improving the browsing experience and reducing bounce rates.

Who is this for?

Bunny Database is designed for full-stack developers, platform engineers, and startup teams who need a globally distributed, low-latency SQL database for read-heavy applications. It is ideal for those already using bunny.net's CDN, Edge Scripting, or Magic Containers, as it integrates seamlessly with their existing account and workflows. The service appeals to developers building web applications, APIs, and microservices that serve a worldwide audience and require fast query response times without the operational overhead of traditional multi-region databases. It is also suitable for hobbyists and small teams who want a free, serverless database during the public preview period, then a predictable pay-as-you-go pricing model as they scale. Specific roles include frontend and backend engineers, DevOps practitioners, and product managers seeking a simple, cost-effective database solution that 'just works' out of the box.