@libsql/client vs. @planetscale/database
Side-by-side comparison · 8 metrics · 14 criteria
- Weekly Downloads
- 612.9K
- Stars
- 559
- Gzip Size
- 37.8 kB
- License
- MIT
- Last Updated
- 4mo ago
- Open Issues
- 120
- Forks
- 64
- Unpacked Size
- 140.1 kB
- Weekly Downloads
- 100.8K
- Stars
- 1.2K
- Gzip Size
- 2.3 kB
- License
- Apache-2.0
- Last Updated
- 9mo ago
- Open Issues
- 17
- Forks
- 40
- Unpacked Size
- 52.0 kB
@libsql/client vs @planetscale/database downloads — last 12 months
Criteria — @libsql/client vs @planetscale/database
- Core Philosophy
- @libsql/clientProvides a robust, feature-rich driver for the libSQL database ecosystem, suitable for web and Node.js applications.@planetscale/databaseOffers a Fetch API-compatible driver optimized for PlanetScale's serverless MySQL-compatible database, ideal for edge and serverless environments.
- Issue Management
- @libsql/clientHigher number of open issues (118) may indicate more active development or a larger surface area for bugs.@planetscale/database ✓Lower number of open issues (20) suggests a more stable or less complex client interface.
- Scalability Model
- @libsql/clientScales from embedded SQLite to potentially distributed libSQL deployments.@planetscale/database ✓Specifically designed for PlanetScale's managed serverless scaling and edge reach.
- API Design Principle
- @libsql/clientOffers a comprehensive set of methods for interacting with libSQL, potentially broader than standard Fetch.@planetscale/database ✓Adheres strictly to the Fetch API specification for network requests, promoting interop.
- Dependency Footprint
- @libsql/clientHas a larger unpacked size (140.1 kB), suggesting more internal features or dependencies.@planetscale/database ✓Minimal unpacked size (52.0 kB), indicating a lean and focused dependency structure.
- Bundle Size Efficiency
- @libsql/clientAcceptable bundle size at 22.9 kB (gzip), suitable for many modern applications.@planetscale/database ✓Extremely minimal bundle size at 2.1 kB (gzip), prioritizing performance and reduced payload.
- Database Compatibility
- @libsql/clientTargets the libSQL database, which is SQLite-compatible with added features like replication.@planetscale/databaseTargets PlanetScale, a managed MySQL-compatible database service.
- TypeScript Integration
- @libsql/clientProvides TypeScript and JavaScript support, well-typed for modern development.@planetscale/databaseDesigned with TypeScript in mind, offering strong typing and seamless integration.
- Data Handling & Architecture
- @libsql/clientLeverages libSQL's architecture, including SQLite compatibility and replication features.@planetscale/databaseInterfaces with PlanetScale's distributed MySQL-compatible service and connection pooling.
- Target Environment Alignment
- @libsql/clientSuitable for both Node.js and browser environments, offering local development and offline capabilities.@planetscale/database ✓Specifically optimized for modern JavaScript runtimes and serverless/edge platforms supporting the Fetch API.
- Community Activity Indicators
- @libsql/client ✓Higher fork count (62) suggests broader community interest and potential contributions for libSQL.@planetscale/databaseHigher star count (1.2K) indicates significant user recognition and adoption for PlanetScale's offering.
- Offline and Local Capabilities
- @libsql/client ✓Strong support for local development and potential offline-first applications due to SQLite foundation.@planetscale/databasePrimarily focused on online, distributed database access from serverless environments.
- Developer Experience - Integration
- @libsql/clientRequires understanding of the libSQL ecosystem for full utilization.@planetscale/database ✓Streamlined integration for projects already using or targeting the Fetch API.
- Developer Experience - Learning Curve
- @libsql/clientPotentially requires a deeper dive into libSQL specific features for advanced use.@planetscale/database ✓Lower learning curve if already familiar with Fetch API and serverless patterns.
| Criteria | @libsql/client | @planetscale/database |
|---|---|---|
| Core Philosophy | Provides a robust, feature-rich driver for the libSQL database ecosystem, suitable for web and Node.js applications. | Offers a Fetch API-compatible driver optimized for PlanetScale's serverless MySQL-compatible database, ideal for edge and serverless environments. |
| Issue Management | Higher number of open issues (118) may indicate more active development or a larger surface area for bugs. | ✓ Lower number of open issues (20) suggests a more stable or less complex client interface. |
| Scalability Model | Scales from embedded SQLite to potentially distributed libSQL deployments. | ✓ Specifically designed for PlanetScale's managed serverless scaling and edge reach. |
| API Design Principle | Offers a comprehensive set of methods for interacting with libSQL, potentially broader than standard Fetch. | ✓ Adheres strictly to the Fetch API specification for network requests, promoting interop. |
| Dependency Footprint | Has a larger unpacked size (140.1 kB), suggesting more internal features or dependencies. | ✓ Minimal unpacked size (52.0 kB), indicating a lean and focused dependency structure. |
| Bundle Size Efficiency | Acceptable bundle size at 22.9 kB (gzip), suitable for many modern applications. | ✓ Extremely minimal bundle size at 2.1 kB (gzip), prioritizing performance and reduced payload. |
| Database Compatibility | Targets the libSQL database, which is SQLite-compatible with added features like replication. | Targets PlanetScale, a managed MySQL-compatible database service. |
| TypeScript Integration | Provides TypeScript and JavaScript support, well-typed for modern development. | Designed with TypeScript in mind, offering strong typing and seamless integration. |
| Data Handling & Architecture | Leverages libSQL's architecture, including SQLite compatibility and replication features. | Interfaces with PlanetScale's distributed MySQL-compatible service and connection pooling. |
| Target Environment Alignment | Suitable for both Node.js and browser environments, offering local development and offline capabilities. | ✓ Specifically optimized for modern JavaScript runtimes and serverless/edge platforms supporting the Fetch API. |
| Community Activity Indicators | ✓ Higher fork count (62) suggests broader community interest and potential contributions for libSQL. | Higher star count (1.2K) indicates significant user recognition and adoption for PlanetScale's offering. |
| Offline and Local Capabilities | ✓ Strong support for local development and potential offline-first applications due to SQLite foundation. | Primarily focused on online, distributed database access from serverless environments. |
| Developer Experience - Integration | Requires understanding of the libSQL ecosystem for full utilization. | ✓ Streamlined integration for projects already using or targeting the Fetch API. |
| Developer Experience - Learning Curve | Potentially requires a deeper dive into libSQL specific features for advanced use. | ✓ Lower learning curve if already familiar with Fetch API and serverless patterns. |
Choosing between @libsql/client and @planetscale/database hinges on your project's architecture, performance needs, and desired developer experience.
@libsql/client is designed as a comprehensive JavaScript and TypeScript driver for the libsql database, which itself is built on SQLite. Its core philosophy is to provide a robust, feature-rich client that can seamlessly integrate with various JavaScript environments, including Node.js and web browsers, offering local development capabilities and a path towards a distributed, fault-tolerant database. This makes it suitable for applications requiring local-first data strategies, offline support, or a fully embedded database solution that can later scale to a managed service.
@planetscale/database, on the other hand, is specifically crafted as a Fetch API-compatible driver for PlanetScale, a serverless MySQL-compatible database platform. Its design prioritizes edge and serverless environments, aiming for minimal overhead and maximum compatibility with modern JavaScript runtimes that support the Fetch API. This makes it an excellent choice for applications deployed on platforms like Vercel, Netlify, or Cloudflare Workers, where connection pooling and direct database access from serverless functions are critical for performance and scalability.
A key architectural difference lies in their underlying database philosophies. @libsql/client is intrinsically tied to libSQL’s architecture, which provides SQLite compatibility with enhanced features like replication. It focuses on being a client for this specific ecosystem. In contrast, @planetscale/database is a client for PlanetScale's managed MySQL-compatible service, leveraging its distributed architecture and focusing on efficient connections from serverless environments and the edge.
Technically, @planetscale/database is built with the modern Fetch API in mind, which standardizes network requests across various JavaScript environments, especially serverless runtimes. This approach leads to its extremely small bundle size and straightforward integration with platforms that already embrace this API. @libsql/client, while also supporting modern JavaScript, may offer a broader range of direct database interactions that are not strictly tied to the Fetch API, potentially leading to more direct control or different internal implementations for its connection management and query execution.
From a developer experience perspective, @planetscale/database offers a streamlined integration, particularly if your project already uses the Fetch API or targets serverless platforms. Its minimal size and focus on modern runtimes can lead to faster initial loads. @libsql/client, while also well-typed and supporting TypeScript, might require a slightly deeper understanding of the libSQL ecosystem to leverage its full capabilities, especially if you're moving beyond basic CRUD operations. However, its comprehensive nature for the libSQL database can be an advantage for those fully invested in that technology stack.
Performance and bundle size are significant differentiating factors. @planetscale/database boasts an exceptionally small gzip bundle size (2.1 kB) and a very low unpacked size (52.0 kB), making it ideal for performance-sensitive applications and edge deployments where minimizing payload is paramount. @libsql/client, while still reasonably sized, is considerably larger (22.9 kB gzip, 140.1 kB unpacked), indicating a more extensive feature set or dependencies that might impact initial load times in highly constrained environments.
Practically, you would choose @planetscale/database for serverless applications targeting PlanetScale, especially on platforms like Vercel or Cloudflare Workers, where its Fetch API compatibility and minimal footprint are crucial. Opt for @libsql/client if you are specifically using libSQL as your database, whether for local development, offline-first web applications using SQLite, or if you plan to leverage libSQL's unique features and intend to self-host or use its managed offerings beyond PlanetScale. It offers a direct line to the libSQL database experience.
Considering maintenance and ecosystem, @libsql/client appears to be the more actively developed project, with a recent update in April 2026 and a higher number of forks, suggesting broader interest and potential contributions. Conversely, @planetscale/database, while having fewer open issues and more stars, was last updated in March 2026. The project's maturity and the stability of PlanetScale's platform are key considerations here, as is the underlying community support for libSQL versus PlanetScale.
For niche use cases, @libsql/client might be preferred for scenarios requiring embedded SQLite functionality that can later be networked, or when building applications that need to work seamlessly both online and offline, leveraging SQLite's robust transactional capabilities. @planetscale/database shines in high-traffic, dynamic web applications running on serverless architectures that benefit from PlanetScale's intelligent connection routing and scaling capabilities, especially when combined with edge functions.
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