Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
About the problem of DBMS choice & what to do i...
Search
Minsk MongoDB User Group
June 07, 2012
Programming
150
3
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
About the problem of DBMS choice & what to do if you have gone the wrong way | Roman Bugaev
Roman Bugaev
Meetup #4
Minsk MongoDB User Group
June 07, 2012
More Decks by Minsk MongoDB User Group
See All by Minsk MongoDB User Group
MongoDB by Chef | Yauhen Artsiukhou
bymongo
0
150
MongoDB at IronMQ | Alexander Kolesen
bymongo
0
860
Scaling MongoDB | Sergey Gavruk
bymongo
2
200
Event sourcing + CQRS + MongoDB | Alex Shkor
bymongo
1
650
How it works. Indexes | Kirill Duborenko
bymongo
5
300
Aggregation Framework | Mikhail Burtylev
bymongo
1
130
MongoDB 2.2: Release update + Roadmap | Alvin Richards
bymongo
1
120
Meetup#6 Intro | Alex Litvinok
bymongo
1
67
Deploying MongoDB on Amazon WS | Michael Karpitsky
bymongo
2
140
Other Decks in Programming
See All in Programming
AI時代、エンジニアはどう育つのか -未経験エンジニアの成長を間近で見て考えたこと-
thasu0123
0
210
コーディングルールの鮮度を保ちたい for SRE NEXT 2026 / keep-fresh-go-internal-conventions-sre-next-2026
handlename
0
160
jsmini JavaScript Engine を作ってみた話
yosuke_furukawa
PRO
0
280
メールのエイリアス機能を履き違えない
isshinfunada
0
200
わからない話を追いかけたら、プログラミング言語を作る側にいた
ydah
2
330
Go言語とトイモデルで学ぶTransformerの気持ち / fukuokago23-transformer
monochromegane
0
160
アルゴリズムは何を圧縮しているのか ─ Haskell から育った「圧縮代数」というメンタルモデル
naoya
16
3.7k
Embedded SREと共に達成した会員管理システムのAWS移行 - SRE NEXT 2026 ランチスポンサーセッション
niftycorp
PRO
1
3.3k
『コードを書く以外の』エンジニアリング〜課金基盤移行プロジェクト推進のためのTips4選
yuriko1211
0
560
Claude Opus 4.6以後の受託開発エンジニアの変化(Claude Code開発ノウハウ大公開スペシャルbyクラスメソッド)
iidatakuma
1
930
【やさしく解説 設計編 #0】DDDのコード、読めるのに分からない人へ
panda728
PRO
2
300
2年かけて Deno に DOMMatrix を実装した話 / How I implemented DOMMatrix in Deno over two years
petamoriken
0
190
Featured
See All Featured
Game over? The fight for quality and originality in the time of robots
wayneb77
1
230
[RailsConf 2023 Opening Keynote] The Magic of Rails
eileencodes
31
10k
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
333
23k
StorybookのUI Testing Handbookを読んだ
zakiyama
31
6.9k
Joys of Absence: A Defence of Solitary Play
codingconduct
1
420
BBQ
matthewcrist
89
10k
Building Better People: How to give real-time feedback that sticks.
wjessup
370
20k
Pawsitive SEO: Lessons from My Dog (and Many Mistakes) on Thriving as a Consultant in the Age of AI
davidcarrasco
0
200
How Fast Is Fast Enough? [PerfNow 2025]
tammyeverts
3
680
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
234
17k
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
128
56k
How Software Deployment tools have changed in the past 20 years
geshan
1
34k
Transcript
Bugaev Roman About the problem of DBMS choice & what
to do if you have gone the wrong way
.NET web-‐‑developer
SQL or NoSQL, that is the question!
Ñ Learning management system Ñ SCORM Ñ 1 million active users CyberU
Ñ No transactions Ñ No relations Ñ No datatypes (some) SimpleDB
Key → ALribute → Value select count(*) from cyberu_users where
RecordType = 'user'
Prons & Cons
Ñ Everything is indexed Ñ Distributed Ñ Replicated Ñ Completely hosted on Amazon system
BUT Ñ Latency specially if you’re not on ec2 (even between nodes) Ñ Only strings, lexicographical string only Ñ Huge amount of code
Ñ If you love writing code-‐‑-‐‑ really, truly love to
write code-‐‑-‐‑ you'ʹll love it enough to write as liLle of it as possible. And SQL can help you.
SQL is awesome! -‐‑ Structured Query Language -‐‑ ACID Atomicity,
Consistency, Isolation, Durability -‐‑ Predictable -‐‑ Schema -‐‑ Based on rational algebra -‐‑ Standardized
No, really, it'ʹs awesome! -‐‑ Hardened -‐‑ Free and commercial
choices -‐‑ MySQL, PostgreSQL, Oracle, DB2, MS SQL... -‐‑ Commercial support -‐‑ Tooling -‐‑ Everyone knows it -‐‑ It'ʹs mature!
None
Sellerhit
So... -‐‑ Some preLy big and important problems -‐‑
And brightest engineers in the world -‐‑ Who loooove to build stuff
Yesterday'ʹs problem of biggest guys Is today'ʹs
problem of startup in garage
Ñ What schema can be fine for a lot of
product’s types? E-‐‑commerce
Books
Music
Jeans
Ñ Flexible (and sane) Ñ Searchable Ñ Easy to use Ñ Fast MongoDB
Ñ Atomic single document writes Ó If you need atomic writes across
multi-‐‑document – don’t use MongoDB And what about $$?
Ñ Orders, Inventory (id, count) and Payment Transaction you
can store in SQL Ñ UI – MongoDB, ecomerce -‐‑ SQL Most boring SQL Scheme ever
Ñ Double check you choice of DBMS and tools
Ñ Do it fast Ñ Check your logic Ñ Enterprise design Ñ Id<User> != Id<Product> Ñ Unit tests Ñ Delete code Ñ Optimize your tools Ñ Be brave! Data migrations
Use case – first, DB – last © Anonymous
Neo4J – Graph database
{ Thx! Q? Bugaev Roman, @rbugaev