The NoSQL Technical Comparison Report: Cassandra (DataStax), MongoDB, and Couchbase Server

This report provides an in-depth analysis of the leading NoSQL systems: Cassandra, MongoDB, and Couchbase. Unlike other comparisons that focus only on one or two dimensions, this research approaches the databases from 20+ angles, including performance, scalability, availability, ease of installation, maintenance, data consistency, fault tolerance, replication, recovery, etc. With 29 diagrams, this paper also features a scoring framework/template for evaluating and comparing NoSQL data stores for your particular use case—depending on the weight of each criterion.

Cloud Platform Comparison – CloudStack, Eucalyptus, vCloud Director, and Openstack

Cloud computing remains one of the hottest topics in IT today given the promise of greatly improved efficiencies, significant cost savings, scalable infrastructure, high performance, and secured data storage. However, information on popular cloud systems is usually biased and full of advertising buzz, making it difficult to choose a cloud platform. This vendor-independent white paper contains a product-by-product comparison of the most popular cloud solutions (along with tips on bug-fixing) to help you select the best-fit product.

A Guide on Installing OpenStack and the Cloud Foundry PaaS on HP Moonshot

HP Moonshot is a low-power server designed for distributed computing and processing big data. This 12-page guide will help you to reap all the benefits of the Cloud Foundry PaaS—a platform for delivering cloud apps—deployed on top of Moonshot. You will learn how to install MaaS, assign roles to servers, deploy OpenStack, configure a new environment, set up routing, and provide high availability of apps on Cloud Foundry.

Hadoop Distributions: Cloudera vs. Hortonworks vs. MapR

This 65-page benchmark compares the major Hadoop distributions: Cloudera, MapR, and Hortonworks. With 83 diagrams, it demonstrates how clusters of different size perform under 7 types of workloads. Download this study to learn which of the Hadoop distributions better suits your project needs and how to overcome limitations that may slow down your deployments.

Hadoop on Windows Azure: Hive vs. JavaScript for Processing Big Data

For some time, there were no solutions from Microsoft for processing big data in cloud environments. Recently, Microsoft launched the Hadoop on Windows Azure service to make it possible to distribute the load and speed up computations using Windows Azure. This article gives an overview of two out-of-the-box ways of processing big data with Hadoop on Windows Azure—Hive querying and JavaScript implementations—and compares their performance.

Data Visualization Frameworks: Flot vs. Highcharts vs. D3

Today’s Web applications deal with massive data sets that require high-performance systems for processing and analysis. However, your information becomes even more valuable, if you can efficiently visualize it. This research compares three popular but significantly different JavaScript libraries and evaluates how they handle massive data sets and real-time visualization.

Hadoop-Based Movie Recommendation Engine: A Comparison of the Apriori Algorithm vs. the k-means Method

Building a recommendation engine for a large online store involves a number of challenges, especially if you have to deal with huge data sets. In this white paper, our data scientist compares two approaches for implementing a Hadoop-based movie recommendation engine. Download the document to learn how generating association rules differs from clustering data, view the results of both implementations, and explore three ways to optimize the quality of movie recommendations.

OpenShift and Cloud Foundry PaaS: High-level Overview of Features and Architectures

Among all open source projects in the category known as Platform-as-a-Service, OpenShift and Cloud Foundry have amassed the strongest development communities. Having similar functionality and goals, both make it possible to write code in a variety of languages and deploy applications to public or private clouds. Both are evolving extremely fast. Still, few, if any, in-depth comparisons of OpenShift and Cloud Foundry exist. The purpose of this research is to provide a high-level overview of Cloud Foundry and OpenShift, side by side. With 2 tables and 2 diagrams, it describes their features, supported languages, frameworks, tools, architecture, history, etc.

A Vendor-independent Comparison of NoSQL Databases: Cassandra, HBase, MongoDB, Riak

The variety of NoSQL databases makes it difficult to select the best tool for a particular case. The unbiased investigations are rare—tests are often conducted by NoSQL vendors themselves. This benchmarking research is our vendor-independent analysis of four main NoSQL databases, based on performance measured under six different workloads.