Document-oriented NoSQL databases are eliminating the impedance mismatch between developers and traditional data models. However developers have come to believe they need to sacrifice ACID transactions. In this article we will look at how MarkLogic dispels this myth
Apache Kafka is a distributed publish-subscribe messaging system. This article covers the architecture model, features and characteristics of Kafka framework and how it compares with traditional messaging systems.
Graph data modeling requires a different paradigm than modeling with Relational or other NoSQL databases. InfoQ spoke with Jim Webber and Ian Robinson about data modeling with Graph databases.
InfoQ spoke with Anuj Sahni, Principal Product Manager at Oracle about the time series data, NoSQL databases and best practices for managing this type of data.
For the last four years MS has been working on the first rewrite of SQL Server’s query execution since 1998. The goal is to offer NoSQL-like speeds with the capabilities of a relational database. 2
Lambda Architecture proposes a simpler, elegant paradigm designed to process large amounts of data. In this article, author discusses Lambda Architecture with the help of a sample Java application. 20
This article we focuses on the database backup tools and security policies when deploying MongoDB NoSQL databases. Cloud backup with MongoDB Management Service (MMS) is covered. 2
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, author explores Cassandra CLI architecture model using JArchitect tool and CQLinq language to analyze its code base.
Some users are interacting with databases through complex SQL queries, both in terms of performance as well as expressivity. If SQL and JPA are diverging, where will our data interaction patterns go? 4
This article will take you through creating a simple RESTful web service with Spring Boot and Aerospike, a distributed and replicated in-memory NoSQL database.
In this article, author Mat Keep discusses the deployment best practices of MongoDB databases with focus on capacity planning & monitoring aspects. He explains hardware selection, metrics & sharding.
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Moving from Relational to NoSQL: How to Get Started
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MongoDB vs. Couchbase Server: Architectural Differences and their Impact
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NoSQL Database Evaluation Guide
While every company has its own specific set of requirements for the NoSQL database...
Why Retail and eCommerce are making the move to NoSQL
In today’s digital economy, leading companies like Best Buy Canada, Nike, Staples, and...
How to Choose a Database for your Mobile Apps
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Simply Accelerate NoSQL data stores
Leading businesses count on NoSQL databases to run their web, mobile, and IoT applications...
High Performance with Distributed Caching Couchbase
For many web, mobile, and Internet of Things (IoT) applications that run in...
Introduction to Data Modeling in Couchbase
The white paper, “Introduction to Data Modeling in Couchbase Server,” explains the process...