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Benchmarking spreadsheet systems

The Morning Paper

Benchmarking spreadsheet systems Rahman et al., construct a set of benchmarks to try and understand what might be going on under the covers in Microsoft Excel, Google Sheets, and LibreOffice Calc. The other systems avoid this recomputation, but are slower than Excel for value-only datasets. Rahman et al.

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Why Tcl is 700% faster than Python for database benchmarking

HammerDB

Python is a popular programming language, especially for beginners, and consequently we see it occurring in places where it just shouldn’t be used, such as database benchmarking. We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test).

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Stuff The Internet Says On Scalability For October 19th, 2018

High Scalability

cpeterso : Your quote reminds me of cybernetics' Law of Requisite Variety: "If a system is to be stable, the number of states of its control mechanism must be greater than or equal to the number of states in the system being controlled.". stephenbalaban : We've benchmarked the 2080 Ti, V100, Titan V, 2080, and 1080 Ti.

Internet 123
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Redis vs Memcached in 2024

Scalegrid

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

Cache 130
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How to maximize CPU performance for PostgreSQL 12.0 benchmarks on Linux

HammerDB

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. So over at Phoronix some database benchmarks were published showing PostgreSQL 12 Performance With AMD EPYC 7742 vs. Intel Xeon Platinum 8280 Benchmarks . uname -a Linux ubuntu19 5.3.0-rc3-custom

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What is application modernization? How to pick an application modernization strategy

Dynatrace

These insights help organizations plan for cloud scalability, performance improvements, and business alignment. An application modernization strategy may include the rearchitecting, rebuilding, re-coding, refactoring, re-hosting, replatforming, or even the retirement and replacement of legacy systems. Vastly improved performance.

Strategy 223
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The top 5 reasons to run your own database benchmarks

HammerDB

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”