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percona
tokudb-engine
C++2015–2018
percona / tokudb-engine · Archived

tokudb-engine

Percona TokuDB is a high-performance, write optimized, compressing, transactional storage engine for Percona Server. Issue tracker: https://tokutek.atlassian.net/browse/DB/ Wiki: https://github.com/Percona/tokudb-engine/wiki Downloads:

2Distinct people
2Mentions
0Explicit recommenders
663GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Percona TokuDB is a high-performance, write optimized, compressing, transactional storage engine for Percona Server. Issue tracker: https://tokutek.atlassian.net/browse/DB/ Wiki: https://github.com/Percona/tokudb-engine/wiki Downloads:

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:03:16 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year2 dated mentions

Observed mentions: 2015-10-19 19:57:31 UTC to 2018-10-13 14:54:37 UTC.

012015-01-01 00:00:00 UTC to 2016-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments20152016-01-01 00:00:00 UTC to 2017-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments20162017-01-01 00:00:00 UTC to 2018-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2018

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20152015-01-01 00:00:00 UTC2016-01-01 00:00:00 UTC101
20162016-01-01 00:00:00 UTC2017-01-01 00:00:00 UTC000
20172017-01-01 00:00:00 UTC2018-01-01 00:00:00 UTC000
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC101

What Hacker News says

2 sources
Note that some of the people involved are also the original authors of TokuDB [0], including Bradley Kuszmaul [1] , Michael Bender [2], and Martin Farach-Colton [3] who were the founders of Tokutek (acquired by Percona in 2015). Previous discussion with the authors: A Comparison of Log-Structured Merge (LSM) and Fractal Tree Indexing https://news.ycombinator.com/item?id=9248298 [0] TokuDB Fractal Tree Index https://github.com/Tokutek/ft-index TokuDB Engine https://github.com/percona/tokudb-engine [1] Bradley Kuszmaul http://people.csail.mit.edu/bradley/startups.html [2] Michael Bender https://www3.cs.stonybrook.edu/~bender/ [3] Martin Farach-Colton https://www.cs.rutgers.edu/~farach/
In BetrFS: An in-kernel file system that uses Bε trees to organize on-disk storage
MariaDB recently released the version 10.1 as GA. https://blog.mariadb.org/mariadb-10-1-is-stable-ga/ We been using it for a large dataset, and has been fantastic. Compared to MySQL 5.7 and PostgreSQL, it have the advantage of supporting the TokuDB engine out of box. My data uncompressed is 3TB, with it , we can fit in 300GB with all indexes. Read Free Replication with TokuDB (https://github.com/percona/tokudb-engine/wiki/Read-Free-Repl...) also enable us to have a very cheap VPS as slave.
In MariaDB 10.1 can do 1M queries per second

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