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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

Recognized as the fastest growing database by popularity, PostgreSQL was named the DBMS of the year in both 2018 and 2017 by DB-Engines, and continues to grow in popularity in 2019. Software Update License & Support (annual). $0. In fact, PostgreSQL is so popular, 11.5% Oracle Enterprise Edition. Single Database Edition Costs. $0.

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Progress Delayed Is Progress Denied

Alex Russell

As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. April 2018 , but not usable until several releases later). Pointer Lock.

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Kubernetes for Big Data Workloads

Abhishek Tiwari

In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Over last few years, we have seen several attempts to run data workload in the containers especially distributed big data frameworks like Apache Hadoop, Apache Storm [3] , and Apache Spark [4] [5] without any software modifications. Performance.

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Is Intel Doomed in the Server CPU Space?

SQL Performance

A close monitoring of the hardware enthusiast community, including many of the most respected hardware analysts and reviewers paints an even more dire picture about Intel in the server processor space. This made it easier for database professionals to make the case for a hardware upgrade, and made the typical upgrade more worthwhile.

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Aurora vs RDS: How to Choose the Right AWS Database Solution

Percona

This post was originally published in July 2018 and was updated in July 2023. Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Doing extensive benchmarks will be the subject of a future blog post. Learn more here!

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HammerDB MySQL and MariaDB Best Practice for Performance and Scalability

HammerDB

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. For anyone benchmarking MySQL with HammerDB it is important to understand the differences from sysbench workloads as HammerDB is targeted at a testing a different usage model from sysbench. c_ytd_payment: 10.00

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The Performance Inequality Gap, 2024

Alex Russell

HTML, CSS, images, and fonts can all be parsed and run at near wire speeds on low-end hardware, but JavaScript is at least three times more expensive, byte-for-byte. Since 2010, volumes have been on a slow downward glide path , shrinking from ~350MM per year in a decade ago to ~260MM in 2018. but which blessedly sports 8GB of RAM.