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Performance Evaluation: MongoDB over NetApp E-Series

Vladimir Starostenkov

mongodb_over_netapp_e_series-v1

NetApp, a provider of high-performing data storage systems, has been working on adjusting its offerings to the requirements of NoSQL databases (such as MongoDB). As a result, the company now offers two MongoDB-certified flash storage solutions. Altoros joined the effort to evaluate these products.

This blog post reveals some of the performance results for the MongoDB integrated architecture deployed to NetApp E-Series.

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Performance Benchmark: Redis Cloud vs. ElastiCache vs. openredis vs. RedisGreen vs. Redis To Go

Vladimir Starostenkov

redis database logoIn most performance comparisons, Redis (an open source key-value cache/store) is mainly treated as a caching-only solution. Others are only focused on a single provider. However, customers are interested in deeper utilization of built-in data types and server-side operations. In production, you may have several loads that query your database simultaneously—with different types of tasks.

For this reason, we designed a scenario that evaluates Redis performance in more complicated conditions. It combines two different types of queries (both simple and complex) generated concurrently. We’ve just published the performance results here (latencies, throughput, etc.). In this blog post, you’ll find some of the main findings.

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Hadoop + GPU: Boost Performance of Your Big Data Project by 50x-200x?

Vladimir Starostenkov

Hadoop, an open-source framework that enables distributed computing, has changed the way we deal with big data. Parallel processing with this set of tools can improve performance several times over. The question is, can we make it work even faster? What about offloading calculations from a CPU to a graphics processing unit (GPU) designed to perform complex 3D and mathematical tasks? In theory, if the process is optimized for parallel computing, a GPU could perform calculations 50-100 times faster than a CPU.

Read my article at NetworkWorld to find out what is possible and how you can try this for your large-scale system.

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