The document provides an overview of NoSQL databases, including their history and why they emerged. It discusses some key features of NoSQL databases like not requiring a fixed schema and not providing full ACID guarantees. The document then compares MongoDB and Riak on various aspects like their setup requirements, tooling support, driver support for CRUD operations, and their approaches to queries and ID generation.

1. Kaifeng Zhang & Yuheng Wang

2. Agenda
 Why NoSQL?
 NoSQL Overview
 MongoDB vs. Riak
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3. NoSQL History
 1998, Carlo Strozzi, “NoREL”
 2009, Eric Evans, “NoSQL”
 2011, UnQL, superset of SQL
No SQL vs. Not Only SQL
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4. Why NoSQL Happened
 Web scale
 Data changes over time
 NoSQL becomes commodity
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5. NoSQL Features
 Not require fixed table schema
 Not use SQL as query language
 Usually avoid join operation
 Not give full ACID guarantees
 Distributed, fault-tolerant architecture
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6. Scenarios for NoSQL
 Performance and real-time nature over
consistency
 High scalability
 Store and retrieve huge quantity of data
 Not require a relational model
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7. NoSQL Taxonomy
 Document Store
 Collections (Table)
 Document (Row)
 Key-value Store
 Graph
 Column Family
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8. Some Concepts
 CAP Theorem
 Distribution Model
 ACID
 Eventual Consistency
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13. Setup
Mongo Riak
 All major OS • No official support
 Stable and of Windows
experimental • Robust support of
Linux
• Nature cluster
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14. Tooling
Mongo Riak
• Cmd line tool • Poor
• Web interface
• 3rd party solutions
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15. Driver Support
Mongo Riak
• C/C++, Java, • C/C++, Java
• Erlang • Erlang
• PHP, Python, • PHP, Python,
Ruby Ruby
• Perl, Scala, .NET
• Node.js, JS
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16. CRUD(.NET)
Mongo Riak
• Excellent drivers • Corrugated Iron
support • RESTful API
• Straightforward
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17. Query Complexity
Mongo Riak
• Secondary index • Corrugated Iron
• MapReduce in query broken
JavaScript • RESTful API to
test
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18. ID Generation
Mongo Riak
• Incremental • No viable solution
document field
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