Qwant VS cppq

• Privacy
  Qwant emphasizes user privacy by not tracking or collecting personal data for targeted advertising, which helps users maintain a higher level of anonymity online.
• No Filter Bubble
  Unlike some other search engines, Qwant does not create a filter bubble, meaning users are not shown results based on their previous searches, helping them see a more unbiased array of search results.
• Data Neutrality
  Qwant ensures its search results are not influenced by advertisers, providing unbiased and impartial search results.
• Ad-Free Experience
  The search results on Qwant are clutter-free and do not heavily promote ads, offering a cleaner and more focused search experience.
• Ethical Stance
  Qwant positions itself as an ethical alternative to major search engines, appealing to users who are conscious of their digital footprint and data sovereignty.

Possible disadvantages

• Search Result Relevance
  Compared to major search engines like Google, Qwant's search algorithm may not always provide the most relevant or comprehensive results.
• Smaller Ecosystem
  Qwant lacks the extensive ecosystem of interconnected services (such as email, maps, and cloud storage) that systems like Google offer.
• Market Penetration
  Qwant is less widely known and used than its major competitors, which can influence the continual improvement and data breadth for refining search algorithms.
• Language and Localization
  Qwant may not support as many languages or have as strong localization as other more established search engines, potentially limiting its usability for non-English speaking users.
• Advanced Search Features
  Qwant may not have as many advanced search features as other search engines, potentially limiting its functionality for power users who need specialized tools.

• 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.

No analysis of Qwant yet.

Presearch Privacy Review #25 - Qwant

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• Migrating to the EU

  For search, I'd suggest Ecosia [1] or Qwant [2] if you don't mind ads, or Uruky [3] if you don't want them (full disclosure, I've created Uruky with my wife). [1]: https://ecosia.org [2]: https://qwant.com [3]: https://uruky.com. - Source: Hacker News / 7 months ago

• Is this censorship or is the site just broken?

  If you go to ecosia.org or qwant.com on any mobile browser (Safari, Chrome, etc.,.) and search for ghandi you also get no results. Its only when the search query ends in ghandi, for example "ghanid date of birth" returns results fine. Source: over 3 years ago

• James O'Keefe on Project Veritas Being Suspended by YouTube over Blockbuster Pfizer Expose

  Use qwant.com - DuckDuckGo is also useless. I haven't found anything better and I'm really happy with it. Source: over 3 years ago

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Tracking cppq since Nov 2022.