SheetBest VS cppq

• Ease of Use
  SheetBest provides a simple and intuitive interface to convert Google Sheets into APIs, making it accessible for users with minimal technical knowledge.
• No-Code Solution
  It enables non-developers to create APIs without having to write any code, which can save time and reduce complexity.
• Speed of Setup
  Allows for rapid deployment of APIs from Google Sheets, enabling quicker integration and faster project delivery.
• Cost-Effective
  Offers a cost-effective solution for small to medium-sized projects that might not need a full-fledged backend.
• Customization Options
  Provides options to customize the API endpoints based on specific needs, offering flexibility in data handling.

Possible disadvantages

• Limited Functionality
  While it covers basic needs, it might lack advanced features and capabilities compared to full-fledged API management tools and services.
• Performance
  Performance might be limited by the constraints of Google Sheets as a data source, potentially impacting scalability.
• Data Sensitivity
  Using Google Sheets as a backend for sensitive data could raise security and compliance concerns, as Sheets are not designed to be a secure database.
• Dependency on Google Sheets
  Relies heavily on Google Sheets, so any issues or limitations with Sheets (such as API rate limits) directly affect the service.
• Not Suitable for Complex Applications
  May not be adequate for complex applications that require robust data manipulation, high concurrency, or extensive relational data operations.

• 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.

• Google sheets API.

  Have you considered using a tool to turn your Spreadsheet into API like restsheet.com, sheet2api.com, sheetson.com, or sheet.best? Source: over 3 years ago

• How to add data to Google sheet with help of API?

  Use a paid wrapper like sheet.best or sheety.co. Much easier and robust from my experience and the free plans might be enough anyways. Source: almost 5 years ago

• How to Turn Google Sheets into a REST API and Use it with a React Application

  // Submit Handler Function SubmitHandler = e => { e.preventDefault(); console.log(this.state); http://axios.post('https://sheet.best/api/sheets/a6e67deb-2f00-43c3-89d3-b331341d53ed', this.state) .then(response => { ... - Source: dev.to / about 5 years ago

Tracking cppq since Nov 2022.