Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
10 reasons to fall in love with MongoDB | Mikha...
Search
Minsk MongoDB User Group
May 07, 2012
Technology
100
2
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
10 reasons to fall in love with MongoDB | Mikhail Burtylev
Mikhail Burtylev,
Meetup #1
Minsk MongoDB User Group
May 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
870
Scaling MongoDB | Sergey Gavruk
bymongo
2
210
Event sourcing + CQRS + MongoDB | Alex Shkor
bymongo
1
660
How it works. Indexes | Kirill Duborenko
bymongo
5
310
Aggregation Framework | Mikhail Burtylev
bymongo
1
140
MongoDB 2.2: Release update + Roadmap | Alvin Richards
bymongo
1
130
Meetup#6 Intro | Alex Litvinok
bymongo
1
72
Deploying MongoDB on Amazon WS | Michael Karpitsky
bymongo
2
150
Other Decks in Technology
See All in Technology
HacobuにおけるFDEとは/登壇資料(戸井田 裕貴)
hacobu
PRO
1
710
Oracle Base Database Service 技術詳細
oracle4engineer
PRO
16
120k
営業オントロジーの作り方と、エージェントからの辿り方 ── ナレッジワークの現場から
kworkdev
PRO
1
230
TiDBファミリーにDWHが新登場!! TiDB最新情報 / TiDB update 202609
yoshiakiyamasaki
0
190
AWS FinOps Agent 結局何が得意なの?
siromi
0
230
LLM機能を自作して分かるSnowflake Cortex AIの強み
nayuts
0
210
Argo CDとAtlantisで実現するインフラ管理のセルフサービス化──小規模SREチームで支えるプラットフォーム
cassius7
0
280
2026-10-01_MagicPod_QAハーネスエンジニアリングとQA組織の未来像
ynisqa1988
1
420
セルフサービスのオブザーバビリティ基盤をOpenTelemetryで作る / Building a Self-Service Observability Platform with OpenTelemetry
ymotongpoo
3
520
人にやさしく、AIにやさしく、書き手を選ばないIaCのガードレール再考 / Rethinking IaC Guardrails for Humans and AI Alike
kohbis
5
2k
あなたの知らないAmazon VPC Route Server/Amazon VPC Route Server you don't know about
masakiokuda
2
210
私の推しは「聞いてから進む」AIです -AI-DLCに一人でアプリを作らせた話
yama3133
1
160
Featured
See All Featured
Navigating the Design Leadership Dip - Product Design Week Design Leaders+ Conference 2024
apolaine
2
450
Learning to Love Humans: Emotional Interface Design
aarron
275
41k
My Coaching Mixtape
mlcsv
0
330
brightonSEO & MeasureFest 2025 - Winning Strategies for Black Friday CRO & PPC - Christian Goodrich
cargoodrich
3
860
The Curse of the Amulet
leimatthew05
3
15k
AI Search: Implications for SEO and How to Move Forward - #ShenzhenSEOConference
aleyda
1
1.4k
Designing Powerful Visuals for Engaging Learning
tmiket
1
590
[SF Ruby Conf 2025] Rails X
palkan
3
1.4k
Fashionably flexible responsive web design (full day workshop)
malarkey
409
67k
Fight the Zombie Pattern Library - RWD Summit 2016
marcelosomers
234
18k
Bridging the Design Gap: How Collaborative Modelling removes blockers to flow between stakeholders and teams @FastFlow conf
baasie
0
710
Effective software design: The role of men in debugging patriarchy in IT @ Voxxed Days AMS
baasie
1
550
Transcript
10 reasons to fall in love
NoSQL MongoDB -‐ humongous Open source,
10gen Cross-‐pla;orm: OS X, Linux, Windows, Solaris v1.0 – Aug 2009 v1.9.1 – Aug 2011 (odd – DEV version) v2.0.3 – Feb 2012 Introduc5on
1. Fast & powerful Scalability and performance Depth of
functionality key/value stores MongoDB RDBMS Focus on performance
{ _id: <document identifier>, key: “value”, subDocument: {innerProp: null} }
JSON/BSON, 16MB Basic types, arrays, embedded documents, ObjectId, other 2. Document-‐oriented
3. Schema-‐free { _id: ObjectId("4B980A6DEA2C3F4579DA141E"), user_id: ObjectId("4B980A6DEA2C3F4579DA4F54"), shipping_address: {
street: "3333 Green Ave", city: "Brooklyn", state: "NY"}, line_items: [ {sku: “rbk-423", name: “Case", price: 4000}, {sku: "spk-211", name: "Guitar", price: 9200}], subtotal: 13200, tax: 1100, total: 14300 } ObjectId Link to user Embedded document Array Embedded documents Duplication
4. Rich queries db.books.find({name: “MongoDB”}); {author: {$exists: true}, “info.price”:
{$lt: 10}} $gt, $lt, $or, $not, $type, $exists, $in, $all, $elemMatch $where – JavaScript expression db.books.find().skip(50).limit(10).sort({name: 1})
5. Full Index Support Basic keys, Compound keys Embedded
fields, Arrays Unique, Sparse, Background Geospatial indexes (2d) db.places.find({loc: {$near: [50,50], $maxDistance: 5}}).limit(20)
Atomic modifiers ($inc, $set, $push…) Upsert FindAndModify Capped collections MapReduce
GridFS 6. Useful features
7. Replica5on Master-Slave Replica Set M S
S S M S M S M M S M (Data Center Awareness)
8. Auto-‐Sharding Horizontal scalability client AL <= state
< KA KA <= state < OH OK <= state <= WY mongos mongod mongod mongod
~50MB of binaries No installation required Multi-language support: C#, C,
C++, Java, Perl, PHP, Python, Ruby Tools: MongoVUE, RockMongo http://try.mongodb.org 9. Easy to try
10. Support Documentation http://www.mongodb.org Official MongoDB site http://groups.google.com/group/mongodb-user Google
user group Commercial support MongoDB Monitoring Service (MMS)
Ques5ons?