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MongoDB Time Series Benchmark and Review

DZone

This article compares QuestDB with one of the most popular databases on the market, MongoDB. We look at the two databases in terms of benchmark performance and user experience. It is used in a wide variety of industries and use cases (if you are new to this space, read our article 'What is Time-Series Data' ).

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Memphis.dev Cloud Performance and Load Testing

DZone

This article presents the most recent Memphis.dev Cloud, multi-region benchmark tests conducted in December 2023, explores how to carry out performance testing, detailing hands-on methods you can apply yourself, and provides recent benchmark data for your reference. The benchmark tool we used can be found here.

Cloud 268
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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

This article is to simply report the YCSB bench test results in detail for five NoSQL databases namely Redis, MongoDB, Couchbase, Yugabyte and BangDB and compare the result side by side. This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. Author & founder of BangDB. Conclusion.

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Article: Donkey: A Highly-Performant HTTP Stack for Clojure

InfoQ

In this article, we’ll briefly outline the use-case for a library like Donkey and present our benchmarks. Donkey is the product of the quest for a highly performant Clojure HTTP stack aimed to scale at the rapid pace of growth we have been experiencing at AppsFlyer, and save us computing costs. By Yaron Elyashiv.

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Secrets Detection: Optimizing Filter Processes

DZone

In a previous article , we explained how we built benchmarks to keep track of those three metrics: precision, recall, and the most important here, speed. These benchmarks taught us a lot about the true internals of our engine at runtime and led to our first improvements.

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Benchmarking the AWS Graviton2 with KeyDB

DZone

This article compares KeyDB running on several different M5 & M6g EC2 instances to get some insight into cost, performance, and use case benefits. We are, of course, referring to the Amazon EC2 M6g instances powered by AWS Graviton2 processors.

AWS 130
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Hyperlambda is twice as fast as Entity Framework

DZone

When we do benchmarks, it's important that we measure best practices, and typical usage. Benchmarking anti patterns and stored procedures tells us nothing about the development model we typically see out there as we actually start using the thing. Watch me run you through the code below.