Benchmarkit ja Tutkimus

Benchmarkit ja Tutkimus

During the recent years, our R&D engineers performed multiple benchmarks of emerging technologies (such as NoSQL DBs, Hadoop, Cloud Foundry PaaS, etc.). Some of our studies were published by CIO.com, NetworkWorld, ComputerWorld, TechWorld, and other tech magazines. Download these white papers to get the results of our findings on performance, supported features, optimization, etc.

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.

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.

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.

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.

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.

Designed to replace the traditional RDBMS, NoSQL databases provide near-endless scalability and great performance for data-intensive use cases. However, with so many different options around, choosing the right NoSQL database for your interactive Web application can be tricky. This whitepaper provides an overview of three popular NoSQL solutions: Cassandra, MongoDB, and Couchbase, as well as a vendor-independent performance comparison of these products that can be used as a guide when choosing a NoSQL database.

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.

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.

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.

When a company has dozens or hundreds of employees, or when face-to-face communication among team members is limited, the method of personal feedback as a means of employee evaluation becomes unreliable. This IT white paper describes effective, consistent methods of employee assessment and motivation based on best practices, conducted interviews, and hours of discussions – as well as some trial and error.

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