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The benchmark results have uncovered various compiler issues. Sometimes a given compiler failed to process unusual, but otherwise grammatically valid constructs. At other times, runtime performance was shown to be below expectations, which prompted compiler developers to revise their optimization capabilities.
Vegeta is an HTTP load testing tool written in Go that can be used as a command in a command-line interface or as a library. [4] The program tests how an HTTP-based application behaves when multiple users access it at the same time [4] by generating a background load of GET requests. [5]
High-performance networking and multiprocessing; Its designers were primarily motivated by their shared dislike of C++. [25] [26] [27] Go was publicly announced in November 2009, [28] and version 1.0 was released in March 2012. [29] [30] Go is widely used in production at Google [31] and in many other organizations and open-source projects.
YCSB was contrasted with the TPC-H benchmark from the Transaction Processing Performance Council, with YCSB being called a big data benchmark while TPC-H is a decision support system benchmark. [2] YCSB was used by DBMS vendors for "benchmark marketing". [3] It has been used in scholarly or tutorial discussions, particularly for Apache HBase.
Arm MAP, a performance profiler supporting Linux platforms.; AppDynamics, an application performance management solution [buzzword] for C/C++ applications via SDK.; AQtime Pro, a performance profiler and memory allocation debugger that can be integrated into Microsoft Visual Studio, and Embarcadero RAD Studio, or can run as a stand-alone application.
Combo Benchmark Compare to Compete Online Benchmarking web-based database This web-based database is suitable for groups of competitors to benchmark individual performance against group performance. All process and performance benchmarks can be processed in this software, providing interesting analysis tools and complete benchmarking report ...
Cassandra on RocksDB can improve the performance of Apache Cassandra significantly (3–4 times faster in general, 100 times faster in some use-cases). [citation needed] The Instagram team at Facebook developed and open-sourced their code, along with benchmarks of their performance results.
Google has provided benchmarks comparing LevelDB's performance to SQLite and Kyoto Cabinet in different scenarios. [11] LevelDB outperforms both SQLite and Kyoto Cabinet in write operations and sequential-order read operations. LevelDB also excels at batch writes, but is slower than SQLite when dealing with large values.