HammerDB

OCTOBER 23, 2023

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.

Benchmarking 62

Benchmarking Database Network C++ 62

Scalegrid

JULY 29, 2020

In our final post, we will put them head-to-head in a detailed feature comparison and compare the results of PgBouncer vs. Pgpool-II performance for your PostgreSQL hosting ! However, these must be set up outside the PostgreSQL system, while PgBouncer can offload this to the PostgreSQL server. Throughput Benchmark.

Benchmarking 246

Benchmarking Database Performance Testing Availability 246

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Scalegrid

JULY 13, 2020

The $47,500 licensing costs for Oracle Enterprise Edition is only for one CPU core, that ultimately has to be multiplied with the actual number of cores on the physical server. Comparison Overview. Objective C. . $104,310. Oracle does offer discounts on their pricing, where you can receive a 10% discount if you purchase online.

Open Source 244

Open Source Tuning C++ Database 244

HammerDB

DECEMBER 9, 2020

is the refactoring of the stored procedures for some of the TPROC-C workloads. The TPROC-C workload is derived from the TPC-C workload , the primary metric for TPC-C is called tpmC, the number of new order transactions processed per minute. For SQL Server note that a change in the TPM metric was introduced at v3.3

C++ 52

C++ Benchmarking Metrics Database 52

Brendan Gregg

SEPTEMBER 25, 2021

This server is spending about a third of its CPU cycles just checking the time! As (C) looked like a kernel rebuild, I started with (D) and (E). ## 5. As I'm interested in the relative comparison I can just compare the total runtimes (the "real" time) for the same result. 30.14% in the middle of the flame graph. us on Ubuntu.

Speed 126

Speed Java AWS Virtualization 126

Brendan Gregg

SEPTEMBER 25, 2021

This server is spending about a third of its CPU cycles just checking the time! As (C) looked like a kernel rebuild, I started with (D) and (E). As I'm interested in the relative comparison I can just compare the total runtimes (the "real" time) for the same result. 30.14% in the middle of the flame graph.

Speed 52

Speed Java AWS Virtualization 52