TokuDB
E190622
TokuDB is a high-performance storage engine for MySQL and MariaDB designed for large-scale, write-intensive workloads using Fractal Tree indexing to improve compression and insertion speed.
All labels observed (1)
| Label | Occurrences |
|---|---|
| TokuDB canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1672137 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TokuDB Context triple: [MariaDB, supportsStorageEngine, TokuDB]
-
A.
InnoDB storage engine
InnoDB storage engine is a widely used transactional storage engine for MySQL that provides ACID compliance, row-level locking, and crash recovery for reliable, high-performance database operations.
-
B.
MariaDB
MariaDB is an open-source relational database management system, forked from MySQL, known for its compatibility, performance, and community-driven development.
-
C.
MyISAM storage engine
The MyISAM storage engine is a legacy MySQL table format known for fast read performance, simple design, and lack of transactional and foreign key support.
-
D.
MySQL HeatWave
MySQL HeatWave is a fully managed, in-memory query acceleration and analytics engine integrated with MySQL to deliver high-performance OLTP and OLAP processing on the same database service.
-
E.
MySQL
MySQL is a widely used open-source relational database management system known for its reliability, performance, and role in powering many web applications and services.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TokuDB Target entity description: TokuDB is a high-performance storage engine for MySQL and MariaDB designed for large-scale, write-intensive workloads using Fractal Tree indexing to improve compression and insertion speed.
-
A.
InnoDB storage engine
InnoDB storage engine is a widely used transactional storage engine for MySQL that provides ACID compliance, row-level locking, and crash recovery for reliable, high-performance database operations.
-
B.
MariaDB
MariaDB is an open-source relational database management system, forked from MySQL, known for its compatibility, performance, and community-driven development.
-
C.
MyISAM storage engine
The MyISAM storage engine is a legacy MySQL table format known for fast read performance, simple design, and lack of transactional and foreign key support.
-
D.
MySQL HeatWave
MySQL HeatWave is a fully managed, in-memory query acceleration and analytics engine integrated with MySQL to deliver high-performance OLTP and OLAP processing on the same database service.
-
E.
MySQL
MySQL is a widely used open-source relational database management system known for its reliability, performance, and role in powering many web applications and services.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
MariaDB storage engine
ⓘ
MySQL storage engine ⓘ database storage engine ⓘ storage engine ⓘ |
| acquiredBy | Percona ⓘ |
| aimsToImprove |
compression ratio
ⓘ
index maintenance performance ⓘ insertion performance ⓘ |
| category |
MariaDB storage engines
ⓘ
MySQL storage engines ⓘ |
| comparedWith |
InnoDB storage engine
ⓘ
surface form:
InnoDB
MyISAM storage engine ⓘ
surface form:
MyISAM
|
| dataStructure | Fractal Tree ⓘ |
| designedFor |
MariaDB
ⓘ
MySQL ⓘ large-scale workloads ⓘ write-intensive workloads ⓘ |
| developedBy | Tokutek ⓘ |
| feature |
ACID compliance
ⓘ
MVCC ⓘ bulk loading optimization ⓘ cache-oblivious algorithms ⓘ data compression ⓘ fractal tree indexes ⓘ high compression ⓘ high insertion speed ⓘ hot indexing ⓘ online schema changes ⓘ row-level locking ⓘ |
| implements | Fractal Tree indexes ⓘ |
| integratedInto | Percona Server for MySQL ⓘ |
| license | open-source ⓘ |
| optimizedFor |
OLTP workloads
ⓘ
large datasets ⓘ write-heavy workloads ⓘ |
| provides |
background index maintenance
ⓘ
compression at index level ⓘ online index creation ⓘ |
| replaces | B-tree indexes in some use cases ⓘ |
| status |
deprecated in Percona Server
ⓘ
removed from recent MySQL distributions ⓘ |
| suitableFor |
analytics on large tables
ⓘ
log data ⓘ time-series data ⓘ |
| supports |
foreign keys
ⓘ
partitioning in MariaDB ⓘ replication in MySQL ⓘ transactions ⓘ |
| usesIndexingTechnique | Fractal Tree indexing ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: TokuDB Description of subject: TokuDB is a high-performance storage engine for MySQL and MariaDB designed for large-scale, write-intensive workloads using Fractal Tree indexing to improve compression and insertion speed.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.