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![• MongoDB does not need any pre-defined data schema
• Every document could have different data!
Schema Free
name: “jeff”,
eyes: “blue”,
loc: [40.7, 73.4],
boss: “ben”}
{name: “brendan”,
aliases: [“el diablo”]}
name: “ben”,
hat: ”yes”}
{name: “matt”,
pizza: “DiGiorno”,
height: 72,
loc: [44.6, 71.3]}
{name: “will”,
eyes: “blue”,
birthplace: “NY”,
aliases: [“bill”, “la
ciacco”],
loc: [32.7, 63.4],
boss: ”ben”}](https://image.slidesharecdn.com/mongodbcommands-200416115135/85/Mongo-db-commands-4-320.jpg)
![• MongoDB does not need any pre-defined data schema
• Every document could have different data!
Schema Free
name: “jeff”,
eyes: “blue”,
loc: [40.7, 73.4],
boss: “ben”}
{name: “brendan”,
aliases: [“el diablo”]}
name: “ben”,
hat: ”yes”}
{name: “matt”,
pizza: “DiGiorno”,
height: 72,
loc: [44.6, 71.3]}
{name: “will”,
eyes: “blue”,
birthplace: “NY”,
aliases: [“bill”, “la
ciacco”],
loc: [32.7, 63.4],
boss: ”ben”}](https://image.slidesharecdn.com/mongodbcommands-200416115135/75/Mongo-db-commands-4-2048.jpg)
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- 1. Bhavneet Sapra Manpreet Khurana MilanPandey Sanchit Malhotra This Photo by Unknown Author is licensed under CC BY
- 2. 10gen is thecompany behind MongoDB. Set the direction & contribute code to MongoDB Foster community & ecosystem Provide MongoDB management services Provide commercial services Founded in 2007 • Dwight Merriman, Eliot Horowitz • Doubleclick, Oracle, Marklogic, HP $81M+ in Funding • Flybridge, Sequoia, NEA, Union Square Worldwide Expanding Team • 100+ employees • NY, Palo Alto, London, Dublin, Sydney
- 3. General Purpose MongoDB is : Easyto Use Fast & Scalable Sophisticated query language Full featured indexes Rich data model Simple to setup and manage Native language drivers in all popular languages Easy mapping to object oriented code Dynamically add / remove capacity with no downtime Auto-sharding built in Operates at in- memory speed wherever possible
- 4. • MongoDB doesnot need any pre-defined data schema • Every document could have different data! Schema Free name: “jeff”, eyes: “blue”, loc: [40.7, 73.4], boss: “ben”} {name: “brendan”, aliases: [“el diablo”]} name: “ben”, hat: ”yes”} {name: “matt”, pizza: “DiGiorno”, height: 72, loc: [44.6, 71.3]} {name: “will”, eyes: “blue”, birthplace: “NY”, aliases: [“bill”, “la ciacco”], loc: [32.7, 63.4], boss: ”ben”}
- 5. MongoDB is fastand scalable Better data locality Relational MongoDB In-Memory Caching Distributed Architecture Horizontal Scaling We just can't get any faster than the way MongoDB handles our data. Tony Tam CTO, Wordnik Replication/HA
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Editor's Notes
- #5 Applications enforce the data “schema” and integrity, much like MUMPS does in VistA