Wedding Arrivals VS cppq

• QR Code Photo & Video Upload
  Guests scan one QR code and upload photos and videos from their phone browser. No app, no account, no login.
• Original-Quality Downloads
  Every photo and video is kept and downloaded at full original resolution, never compressed.
• Private Galleries
  One private album for the whole wedding, accessible only via the couple's QR code or link.
• Unlimited Uploads
  No limits on photos, videos, or number of guests on any plan.
• Photo & Video Moderation
  Approve guest uploads before they appear in the album or on the live slideshow.
• Live Slideshow
  Display incoming guest photos in real time on a screen during the reception.
• Audio Guestbook
  Guests record spoken messages alongside their photos and videos.
• Sub-Albums
  Separate albums for rehearsal, ceremony, and reception under one QR code.
• Guest Tracking & Multiple Admins
  See who uploaded what, and manage the album with more than one admin account.
• Editable Canva QR Templates
  Printable table cards and signs with the gallery QR code, customizable in Canva.
• ZIP Download
  Download the entire album as one ZIP of original files.
• One-Time Payment
  Pay once, keep lifetime access. No subscription.

• Lightweight C++ implementation
  cppq is written in modern C++ and designed to be a minimal, efficient task queue library, making it a good fit for performance-sensitive applications where the overhead of scripting language runtimes is undesirable.
• Redis-backed reliability
  Built on top of Redis as the message broker, cppq benefits from Redis's persistence, atomic operations, and wide adoption, giving the queue system durability and the ability to survive process restarts.
• Inspired by proven design (asynq)
  The library's architecture mirrors the popular Go asynq task queue, so it inherits a well-thought-out API design for task enqueueing, retries, and worker processing patterns that have already been validated in production systems.
• Native integration for C++ projects
  For teams already working in a C++ codebase, cppq allows adding background job processing without needing to introduce a separate service written in another language (like Go or Python), simplifying the technology stack.
• Open source and inspectable
  Being open source on GitHub, developers can review the source code, modify it for custom needs, and contribute improvements, which offers transparency not available with closed-source queueing solutions.

Possible disadvantages

• Limited maturity and battle-testing
  Compared to established task queue libraries like Sidekiq, Celery, or asynq itself, cppq is a newer and smaller project with less real-world production usage, which may translate into undiscovered bugs or edge cases.
• Smaller community and ecosystem
  Because it has far fewer users and contributors than mainstream task queue systems, finding community support, third-party tutorials, or pre-built integrations is more difficult.
• Documentation gaps
  As a smaller project, cppq may have less comprehensive documentation compared to major task queue frameworks, requiring developers to read source code directly to understand advanced features or edge-case behaviors.
• C++ build and dependency complexity
  Using cppq requires managing C++ build toolchains and dependencies (such as a Redis client library), which can be more cumbersome than installing a package via pip or npm in other ecosystems.
• Fewer built-in features and tooling
  cppq likely lacks the extensive ecosystem tooling of more mature queues, such as web-based monitoring dashboards, extensive metrics/observability integrations, or advanced scheduling features found in more established solutions.