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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. I have also used the default six test scenarios as defined by the YCSB framework. I have restricted it to 10M records for each test.

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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures.

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HammerDB v4.0 New Features Pt1: TPROC-C & TPROC-H

HammerDB

compared to previous releases is that the workload names have changed from TPC-C and TPC-H to TPROC-C and TPROC-H respectively and therefore a key question is how are the v4.0 The simple answer is nothing, the workloads are exactly the same workloads derived from the TPC-C and TPC-H specifications and HammerDB v4.0

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How to Assess MySQL Performance

HammerDB

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench. This allows us to know our operating environment and its capability. 4.22 %usr 38.40

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How to evaluate modern APM solutions

Dynatrace

” APM vendors originally designed their solutions to quickly identify application performance issues in monolithic on-premises apps. Your APM tool should help you establish performance benchmarks, so you can understand what good performance looks like. ” — Christopher C, Platform Manager at an enterprise.

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PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

Schema design: Evaluating the database schema design and making adjustments such as partitioning large tables, eliminating redundant data, and denormalizing tables for frequently accessed information can improve performance. For testing purposes, let’s increase this to 256MB and see if there is any impact on cost.

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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

Another big jump, but now it was my job to run benchmarks in the lab, and write white papers that explained the new products to the world, as they were launched. I was mostly coding in C, tuning FORTRAN, and when I needed to do a lot of data analysis of benchmark results used the S-PLUS statistics language, that is the predecessor to R.

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