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Blog on All Things Cloud Foundry

Performance Comparison of Ruby Frameworks, App Servers, Template Engines, and ORMs (2016)

Eugene Melnikov

performance-ruby-rails-sinatra-rack

The Ruby ecosystem is constantly evolving. There have been many changes in the engineering world since our comparison of Ruby frameworks in 2014. During the two years, we received a few requests from fellow engineers asking for an updated benchmark. So, here is the 2016 edition with more things tested.

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Performance Comparison of Ruby Frameworks: Sinatra, Padrino, Goliath, and Ruby on Rails

Eugene Melnikov

ruby-frameworks-1

The main goal of this article was to find the best framework for a very basic but highly loaded Ruby application. This is the updated version of the comparison that was first posted in Jun 2013. Now we ran all the tests again, using the latest versions of Sinatra, Padrino, Goliath, and RoR. Unfortunately, the Espresso framework that we had tested last time disappeared from all the repositories, so it is no longer included.

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Which Ruby Framework Is Faster, Sinatra, Espresso, Padrino, Goliath, or Ruby on Rails?..

Eugene Melnikov

There are a number of Ruby frameworks that allow for creating amazing feature-rich applications. However, very often you need some simple functionality and your main goal is to ensure the fastest performance possible. I decided to compare performance of the basic applications that were created with Sinatra, Espresso, Padrino, Goliath, and Ruby on Rails to find out which framework is the fastest one.

See all 4 tables with the performance tests on our Github blog.

Updated: The new version of this performance comparison was released on Feb 7, 2014.

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

Olga Belokurskaya

In 2010, when the world became enchanted by the capabilities of cloud systems and new databases designed to serve them, a group of researchers from Yahoo decided to look into NoSQL. The results were published in the paper, “Benchmarking Cloud Serving Systems with YCSB.” The Yahoo guys did a great job, but like any paper, it could not include everything.

In 2012, the number of NoSQL products reached 120-plus and the figure is still growing. That variety makes it difficult to select the best tool for a particular case. Database vendors usually measure productivity of their products with custom hardware and software settings designed to demonstrate the advantages of their solutions.

As R&D engineers at Altoros, a big data specialist, we were inspired by Yahoo’s endeavors and decided to add some effort of our own. This article is our vendor-independent analysis of NoSQL databases, based on performance measured under different system workloads. It’s an unbiased research to complement the work done by the folks at Yahoo.

Using Amazon virtual machines to ensure verifiable results and research transparency, we have analyzed and evaluated the following NoSQL solutions:

We also tested MySQL Cluster and sharded MySQL, taking them as benchmarks.

The aim of this investigation is to determine the best use cases for different NoSQL products.

Read about the results of the investigation in the article on NetworkWorld.

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Cloud Platform Comparison: CloudStack, Eucalyptus, vCloud Director, and OpenStack

Vadim Truksha

Cloud computing remains one of the hottest topics in IT today given the promise of greatly improved efficiencies, significant cost savings, scalable infrastructure and high performance and secured data storage.

Choosing the appropriate cloud platform, however, can be difficult. They all have pros and cons. So, when a customer asked me and my colleagues what would be the best cloud platform for his project and why, we decided to take a deep look at the most notable systems available, compare their capabilities, and summarize the findings in a product-by-product table. We tested CloudStack, Eucalyptus, vCloud Director, and OpenStack.

cloup platforms compared

The goal of this independent comparison is to help you align your business requirements with the capabilities of a particular cloud system and—finally—select the best-fit product. Read the full text of the article in NetworkWorld. Feel free to send me your feedback.

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Benchmarks and Research

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