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Datafold vs Percona pstress

Datafold

datafold.com

Percona pstress

github.com

Side by side

FigureDatafoldPercona pstress
Price from—Free
Free plan—Yes
Free trial——
Open source——
WebYes—
Linux—Yes
APIYes—
Self-hostedYesYes
Plans published11
Spec score · Database Testing Tools8.1 (#10)7.5 (#17)
Founded20202006
Intended usersDatafold says it exists to empower data and analytics engineers and help data teams build reliable data products faster.Percona's article describes regression, feature, and crash recovery testing as pstress use cases.
PurposeDatafold combines specialized AI agents, a context layer, and data quality tools to automate data engineering.pstress is a probability-based open-source tool for concurrent database testing and crash recovery testing.

Plans

Datafold

  • Custom pricingPriced on request

Datafold pricing →

Percona pstress

  • pstressFree

Percona pstress pricing →

In their own words

Datafold

Datafold has no write-up on Specifiction yet; its figures are above.

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Percona pstress

Percona pstress is a free, open-source Linux tool for concurrent database and crash-recovery testing. It creates randomized transactions from command-line options and runs concurrent workloads against a single server or cluster. Documented uses include checking database features, regressions, and recovery behavior for MySQL, Percona Server, and Percona XtraDB Cluster. A multithreaded C++ generator works with a Bash driver that coordinates concurrency and recovery steps. The driver can stop and restart a server between steps, change server variables, and continue with the preceding step’s data directory. Options control thread count, tables, records, transaction size, and SQL-operation probabilities. Trial directories normally retain the data directory, error logs, thread logs, mysqld binaries, and configuration. Building requires CMake 2.6 or later, a C++ compiler 4.7 or later, and development files for the target database version or fork. The repository identifies GPL-2.0 licensing. pstress runs self-hosted and does not verify that successful queries returned correct data.

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