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Para

A simple, open-source, general-purpose backend framework for rapid application development in the cloud.

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Overview

Para was designed as a simple and modular backend framework focused on object persistence and retrieval. It significantly speeds up application development by abstracting away common backend challenges. The framework operates on three key levels: objects are stored in either a NoSQL data store or a traditional relational database, then automatically indexed by a search engine for fast querying, and finally, cached for optimal performance. This layered approach ensures both data integrity and high-speed access.

Beyond its core persistence capabilities, Para offers robust features like multi-tenancy, allowing each application to have its isolated data, index, and cache. It exposes a clean, RESTful JSON API secured with Amazon's Signature 4 algorithm, ensuring secure communication. The framework is database-agnostic, supporting various data stores, and includes powerful features such as full-text search (via Elasticsearch or Lucene), distributed object caching (Hazelcast or Caffeine), and flexible security options including social login and JWT authentication. Its modular design, powered by Google Guice, also supports plugins, making it highly extensible for diverse application needs. Para is available as an executable JAR, Maven dependency, or Docker image, making it easy to integrate into existing development workflows.

Best For

Building backends for web applications requiring robust data persistence and search.
Developing mobile application backends with secure API access and user management.
Creating IoT backends that need scalable object storage and real-time data processing.
Prototyping new applications quickly by abstracting away common backend tasks.
Developing console tools that interact with a centralized data store.
Building game backends for user data, leaderboards, and persistent game states.

Key Features

Multi-tenancy support (separate table, index, cache per app)
RESTful JSON API secured with Amazon's Signature 4 algorithm
Database-agnostic design for scalable and distributed data stores
Full-text search (Elasticsearch or Lucene integration)
Distributed object cache (Hazelcast or Caffeine integration)
Webhooks with signed payloads
Flexible security: LDAP, SAML, social login, CSRF protection
Stateless client authentication with JSON Web Tokens (JWT)
Resource permissions for client access control
Robust constraint validation (JSR-303, Hibernate Validator)
Per-object control of persistence, index, and cache operations
Optimistic locking support
Full metrics for monitoring and diagnostics (Dropwizard)
Modular design with Google Guice and plugin support
Para Web Console for admin user interface

Pros & Cons

Pros

  • Open-source and well-documented, promoting transparency and community contributions.
  • Database-agnostic, offering flexibility in choosing underlying data stores (NoSQL or relational).
  • Built-in features like full-text search, caching, and multi-tenancy reduce development time.
  • Strong security features including JWT, social login, and granular resource permissions.
  • Modular design and plugin support allow for extensibility and customization.
  • Provides client libraries for multiple popular programming languages and platforms.
  • Offers an executable JAR and Docker image for easy deployment and local development.

Cons

  • Requires Java knowledge for server-side development and customization.
  • May have a steeper learning curve for developers unfamiliar with its specific architecture or underlying technologies (e.g., Guice, Hazelcast).
  • While database-agnostic, integrating with specific databases might require additional configuration or understanding.
  • The project's community size and support might be smaller compared to more established, larger frameworks.
  • Reliance on external services like Elasticsearch/Lucene and Hazelcast/Caffeine adds complexity to deployment and maintenance.
  • The free hosting option might have limitations for production-scale applications, pushing users towards paid plans.

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