Qwant VS SQL Data Dictionary

• 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.

• Centralized Metadata
  SQL Data Dictionary allows for centralized storage of database metadata, making it easier for developers and analysts to find and understand the structure of databases without needing direct access to the database itself.
• Improved Collaboration
  By providing a shared resource that documents database structures, SQL Data Dictionary facilitates better collaboration among team members, including developers, data scientists, and business analysts.
• Ease of Maintenance
  Having an up-to-date and organized data dictionary helps in maintaining and updating the database structure over time, reducing the risk of errors or inconsistencies when changes are made.
• Enhanced Data Governance
  A data dictionary supports data governance initiatives by documenting data sources, enabling better data quality management, and helping in compliance with data regulations and standards.
• Increased Efficiency
  Developers and analysts can quickly refer to the data dictionary to understand table structures, relationships, and data types without needing to query the database, saving time and resources.

Possible disadvantages

• Initial Setup Cost
  Setting up a SQL Data Dictionary requires an initial investment of time and resources to accurately document the existing database schema and its elements.
• Ongoing Maintenance
  The data dictionary needs to be continuously updated to reflect changes in the database schema, which can be time-consuming and require dedicated resources to ensure accuracy.
• Potential for Inaccuracy
  If the data dictionary is not regularly updated or aligned with the actual database schema, there is a risk of it becoming outdated or inaccurate, leading to potential confusion or errors.
• Limited Usefulness for Small Databases
  For smaller databases or projects with limited complexity, the overhead of maintaining a data dictionary may not be justified by the benefits, as the database might be easier to comprehend directly.
• Dependency on External Tools
  Using a third-party data dictionary tool can create dependencies on these external tools and vendors, which might affect long-term data management strategy and flexibility.

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 SQL Data Dictionary since Mar 2021.