Triplit vs Postgres: A Comprehensive Comparison

Runs on client
Live queries
Conflict Resolution

What is Triplit?

Triplit is a novel "full stack database" designed for modern web applications. It's a real-time syncing datastore that integrates seamlessly as a simple Typescript package. Triplit excels in storing data on the server while intelligently syncing queries to clients. Key features include:

  • Real-time Sync: Offers incremental updates and sophisticated conflict resolution at the property level.
  • Local Caching: Leverages a robust client-side database for efficient data access.
  • Durable Server-Side Storage: Comes with an intuitive admin dashboard for data management.
  • Relational Querying: Supports complex data models, making it versatile for various applications.
  • Offline Mode: Ensures consistent user experience with automatic reconnection and data consistency.
  • Rollback and Retry Management: Effectively handles failed updates.
  • Schemas: Enhances data safety and supports Typescript autocompletion.
  • Authorization: Provides row-level security controls.
  • Collaboration/Multiplayer: Utilizes Conflict-free Replicated Data Types (CRDTs) for seamless collaboration.
  • Low Latency: Minimizes network traffic with delta patches.
  • Simple API: Facilitates easy data querying and mutation in Javascript and React.
  • Open Source: Offers transparency and community-driven development.

Triplit is engineered for developers seeking to build applications with advanced data management features without significant engineering overhead.

What is Postgres?

PostgreSQL, commonly known as Postgres, is a powerful, open-source relational database system. It has earned a strong reputation for its proven architecture, reliability, data integrity, and robust feature set. Key characteristics include:

  • ACID Compliance: Ensures reliable transaction processing.
  • Advanced SQL Compliance: Supports a wide range of SQL standards and extensions.
  • Extensible: Allows custom functions, data types, and more.

How are Triplit and Postgres Similar?

Both Triplit and Postgres share some fundamental database functionalities:

  • Data Storage and Management: Both systems provide robust mechanisms for storing and managing data.
  • Querying Capabilities: They support data retrieval through querying, albeit with different approaches.
  • Scalability: Each offers solutions to scale according to application demands.
  • Open-Source Nature: Both are open-source, fostering community involvement and transparency.

How are Triplit and Postgres Different?

The differences between Triplit and Postgres are significant, mainly due to their design philosophies and target use cases:

  • Real-Time Sync vs. Traditional Storage: Triplit focuses on real-time data syncing and local caching, whereas Postgres is a more traditional database without native real-time capabilities.
  • Full Stack Database vs. Object-Relational Database: Triplit is designed as a full-stack solution, simplifying client-server data management, while Postgres is primarily a server-side relational database.
  • CRDTs for Collaboration: Triplit uses CRDTs for collaborative features, which is not a native aspect of Postgres.
  • Client-Side Functionality: Triplit includes a client-side database for local caching, a feature not present in Postgres.
  • API and Language Support: Triplit is tailored for modern web development with a simple API for Javascript and React, contrasting with Postgres' more traditional SQL interface.

Is Triplit better than Postgres?

Triplit excels in applications requiring real-time data syncing, collaborative features, and a seamless full-stack experience, particularly for modern web apps. Postgres, on the other hand, is more suitable for traditional server-side applications needing a robust, scalable, and SQL-driven database system. The choice depends on the specific requirements of the project and the technical stack involved.

In conclusion, while Triplit offers innovative solutions for real-time, full-stack web applications, Postgres remains a go-to choice for traditional, complex database needs. The decision between the two should be based on the specific demands and objectives of your project.