NoSQL databases have been around for several years now and have become a choice of data storage for managing semi-structured and unstructured data. These databases offer lot of advantages in terms of linear scalability and better performance for both data writes and reads. InfoQ spoke with four panelists to get different perspectives on the current state of NoSQL databases.
DataStax recently announced a new product called DataStax Graph to store graph data models. It's based on open source Titan graph database and uses Apache Tinkerpop framework's Gremlin query language. InfoQ spoke with Martin Van Ryswyk about the new product.
Columnar data storage can offer significant performance improvements over the way database tables are traditionally stored, but they aren’t always faster. Aleksandr Shavlyuga explores the power, and limitations of SQL Server’s ColumnStore Indexes.
NoSQL for Mere Mortals introduces the major types of databases that fall under the NoSQL umbrella and explains both their advantages and shortcomings. Review and interview with the author. 2
Practical Cassandra: A Developer's Approach book is a developer's guide to build applications using Cassandra NoSQL database. InfoQ spoke with authors about the book and data modeling in Cassandra.
Jon Natkins explains in this article how to create a personalized recommendation system fed with large amounts of real-time data using Kiji, which leverages HBase, Avro, Map-Reduce and Scalding.
In this article, Boris Lublinsky shows how to extend Hbase - based Lucene implementation with geospatial search support.
In this article, authors, Boris Lublinsky and Mike Segel suggest an approach for using HBase as a scalable back end for Lucene Search. 3