You say SQL Databases can't scale ? | SQL vs NO-SQL | Similarities and Differences | Arpit Bhayani

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  • Опубликовано: 10 янв 2025

Комментарии • 43

  • @stevenspellberg
    @stevenspellberg 2 года назад +5

    Loved the interview. Arpit can simplify tech topics like Database design even for Non Engg folks. This is a rare skill

    • @Techie007
      @Techie007  2 года назад

      I agree. He has great knowledge.

  • @TechOnScreen
    @TechOnScreen 2 года назад +1

    good discussion ! create more of such content.

  • @sdef719
    @sdef719 2 года назад +2

    Really way more informative. Hope this kind of content creator grow more than hype creators. ❤️

  • @rjarora
    @rjarora 2 года назад +6

    I've taken more than 200 interviews. If they decide to go with NoSQL, most say that NoSQL is scalable, so we will use it. Widespread misconception!

    • @snghnishant
      @snghnishant 2 года назад +3

      It all comes down to storage engine implementation and how it handles cache, i/o ops

  • @aayushjain1890
    @aayushjain1890 2 года назад +5

    Is there a part 2 coming? As it ended with a question.

  • @udyanishere
    @udyanishere 2 года назад +1

    Interest bump. Awesome

  • @ZoySauce
    @ZoySauce 2 года назад +1

    Really informative video, thanks for this interview series! Loved this video! 🙂

  • @subratsingh6204
    @subratsingh6204 2 года назад +2

    The level of curiosity and energy is amazing. Love to watch you guys and take some notes for my interview. 😅

  • @AdityaMishra004
    @AdityaMishra004 2 года назад +1

    Great content. Subscribed.

  • @niwanshumaheshwari4534
    @niwanshumaheshwari4534 10 месяцев назад

    How come he did not talk about LSM trees which is also a storage engine and outperform B+ tree in write heavy use cases.

  • @rishabhghosh155
    @rishabhghosh155 2 года назад +3

    Amazing Video! I missed out on the database implementation class in university and wanted to cover up ground there. Could Arpit please recommend his favorite book for writing storage engines and optimization? Thanks, waiting for more content boss :)

  • @sonalsrivastava9064
    @sonalsrivastava9064 2 года назад +3

    Great video, very informative. A small request to the host, you don't really need to 'hmm hmm' while the other person speaks, its kinda irritating. Anyways, thanks a lot.

    • @Techie007
      @Techie007  2 года назад +2

      Thanks for the feedback.

  • @anuranroy4617
    @anuranroy4617 2 года назад +2

    Techie007:
    0 Fluff
    0 Hype
    7 #asliengineering
    BTW, there's a product called Fugue for scaling SQL across clusters! You might want to see that!

    • @Techie007
      @Techie007  2 года назад

      Thank you so much! Glad you liked it :)

  • @abhilashkr1175
    @abhilashkr1175 2 года назад +1

    What's the difference between embedded database vs in-memory database? Like rocksdb vs redis

    • @Techie007
      @Techie007  2 года назад

      Video on it soon.

    • @AsliEngineering
      @AsliEngineering 2 года назад +3

      There are videos about it on my channel. Both are covered. Check them out.

  • @dineshjmsbw25
    @dineshjmsbw25 2 года назад +1

    Great video, thanks for the informative content.
    Can you suggest some good books to get good hold on the DBs ?

  • @mr.curious1329
    @mr.curious1329 2 года назад +1

    Bhaiya is Mtech really necessary to grab high positions in tech companies like that of a Manager and director?

  • @abhijitgm5
    @abhijitgm5 2 года назад +1

    Make video on YDB

    • @Techie007
      @Techie007  2 года назад

      Will do

    • @abhijitgm5
      @abhijitgm5 2 года назад

      Running databases in kubernetes in multi region with multi master.

  • @udyanishere
    @udyanishere 2 года назад +1

    Part 2 please

  • @Ankush38u
    @Ankush38u 2 года назад +1

    How did the video end with a question?

  • @divyanshupandey4041
    @divyanshupandey4041 2 года назад +1

    i still didn't get my answer, why sql databases cannot scale

    • @Techie007
      @Techie007  2 года назад

      They do scale. That's what we discussed with the help of sharding etc and dropping some constraints of ACID.