InfoQ Homepage NoSQL Content on InfoQ
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Petabyte Scale Data at Facebook
Dhruba Borthakur discusses the different types of data used by Facebook and how they are stored, including graph data, semi-OLTP data, immutable data for pictures, and Hadoop/Hive for analytics.
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Real World Redis
David Czarnecki discusses several Redis data structures and their associated libraries used in real cases for building leaderboards, relationships and activity feeds.
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Eventually-Consistent Data Structures
Sean Cribbs discusses Convergent Replicated Data Types, data structures that tolerate eventual consistency.
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Embracing Concurrency at Scale
Justin Sheehy discusses designing reliable distributed systems that can scale in order to deal with concurrency problems and the tradeoffs required by such systems.
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Building Cloud Services with Riak
Andy Gross reports on how Basho used Riak and Erlang to build their cloud storage service.
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Not Your Father’s Transaction Processing
Michael Stonebraker compares how RDBMS, NoSQL and NewSQL support today’s big data transaction processing needs. He also introduces VoltDB, an in-memory NewSQL database.
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Spring Data - NoSQL - No Problems...
Peter Bell introduces 4 NoSQL categories –Key-Value, Document, Column, Graph - and explains how one can use Spring Data to work with such data stores.
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MongoDB - Born in the Cloud
Ross Lawley introduces MongoDB, explaining why it is a good solution for cloud deployment.
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Sweden's Next Top Data Model
Ian Plosker explains why a data model needs to follow the query patterns when using a NoSQL storage solution.
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The Impedance Mismatch is Our Fault
Stuart Dabbs Halloway explains what the impedance mismatch is and what can be done to solve it in the context of RDBMS, OOP, and NoSQL.
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Caching, NoSQL & Grids - What the Banks Can Teach Us
John Davies shares insight into SQL, NoSQL, grid, virtualization and caching technologies from his personal experience using them in financial institutions.
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Need Some Cache? Redis in Depth
Chris Meadows introduces Redis, explaining what it is good for, what does it take to be run, and what’s under the hood through a social networking code example.
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