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MySQL on Azure Performance Benchmark – ScaleGrid vs. Azure Database

Scalegrid

MySQL Azure Performance Benchmark. In this benchmark report, we compare MySQL hosting on Azure at ScaleGrid vs. Azure Database for MySQL across these three workload scenarios: Read-Intensive Workload: 80% reads and 20% writes. Benchmark configurations. Just getting started? MySQL Read-Intensive Performance.

Azure 299
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Its design prioritizes high availability and efficient data transfer with minimal overhead, making it a practical choice for handling real-time data pipelines and distributed event processing.

Latency 147
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Performance and Scalability Analysis of Redis and Memcached

DZone

We have run these benchmarks on the AWS EC2 instances and designed a custom dataset to make it as close as possible to real application use cases. This level of comparison detail will assist decision-makers with the information they would need to make a more appropriate choice of an in-memory data store for their needs.

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PostgreSQL Benchmark: ScaleGrid vs. Amazon RDS

Scalegrid

Performance Benchmarking of PostgreSQL on ScaleGrid vs. AWS RDS Using Sysbench This article evaluates PostgreSQL’s performance on ScaleGrid and AWS RDS, focusing on versions 13, 14, and 15. This study benchmarks PostgreSQL performance across two leading managed database platforms—ScaleGrid and AWS RDS—using versions 13, 14, and 15.

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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. One, by researching on the Internet; Two, by developing small programs and benchmarking. Most of us, as we spend years in our jobs — tend to be proficient in at least one of these.

Java 214
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Comparisons of Proxies for MySQL

Percona

When designing an architecture, many components need to be considered before deciding on the best solution. Unless a serious refactoring, MySQL Router is designed for very limited scalability, as such, the only way to adopt it is to have many of them at the application node level. MySQL Router was never in the game.

Games 141
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Distance-Based ISA for Efficient Register Management

ACM Sigarch

Figure 1: Comparison of widest CPUs in 2015 and 2025. Researchers have also explored hybrid designs that integrate in-order principles into out-of-order pipelines [ FXA , Ballerino ]. This problem is becoming increasingly serious, especially as CPU designs continue to scale up, a trend mentioned earlier.