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

High Scalability

Redis Server: 5.07, x86/64. MongoDB server: 4.4.2, BangDB server: 2.0.0, Workload C: Read only. The latency table is following for test C and since it was read only test hence there is no update latency figure here. However, user can run the bench for as many numbers as they practically find suitable. About YCSB.

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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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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 v4.9 New Feature: Accelerate SQL Server builds with BCP

HammerDB

by @krithikasatish and @JoshInnis to provide accelerated load performance for both SQL Server TPROC-C and TPROC-H schemas. Using BCP our TPROC-C build now completed almost 3X faster and tests on TPROC-H showed similar results. This post provides an introduction to the new feature added to HammerDB v4.9

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How To Scale a Single-Host PostgreSQL Database With Citus

Percona

PostgreSQL Cluster One coordinator node citus-coord-01 Three worker nodes citus1 citus2 citus3 Hardware AWS Instance Ubuntu Server 20.04, SSD volume type 64-bit (x86) c5.xlarge And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

Database 102
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PostgreSQL Connection Pooling: Part 4 – PgBouncer vs. Pgpool-II

Scalegrid

However, these must be set up outside the PostgreSQL system, while PgBouncer can offload this to the PostgreSQL server. So, we pitted the two connection poolers head-to-head, using the standard pgbench tool, to see which one provides better transactions per second throughput through a benchmark test. Throughput Benchmark.

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Using Huge Pages with PostgreSQL Running Inside Kubernetes

Percona

Modern servers operate with terabytes of RAM, and by default, processors work with virtual memory address translation for each 4KB page. Please check out the Why Linux HugePages are Super Important for Database Servers: A Case with PostgreSQL blog post for more information.

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