Comparison of MySQL database engines

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This is a comparison between the available database engines for the MySQL database management system (DBMS). A database engine (or "storage engine") is the underlying software component that a DBMS uses to create, read, update and delete (CRUD) data from a database.

Name Vendor License Transactional Under active development
Archive Oracle GPL No Yes
Aria Monty Program GPL No Yes
Berkeley DB Oracle No
BlitzDB GPL No Yes
CONNECT Monty Program GPL Yes
CSV Oracle GPL No Yes
Falcon Oracle GPL Yes No
InnoDB Oracle GPL Yes Yes
MyISAM Oracle GPL No No
NDB Oracle Yes Yes
InfiniDB Calpont GPL Yes Yes
TokuDB TokuTek Modified GPL Yes Yes
WiredTiger WiredTiger GPL Yes Yes
XtraDB Percona GPL Yes Yes
Federated Oracle GPL No
FederatedX Monty Program GPL Yes
CassandraSE Monty Program GPL No Yes
sequence Monty Program GPL Yes Yes
mroonga Monty Program GPL Yes
SphinxSE Sphinx Technologies GPL No Yes

Comparison between InnoDB and MyISAM[edit]

  1. InnoDB recovers from a crash or other unexpected shutdown by replaying its logs. MyISAM must fully scan and repair or rebuild any indexes or possibly tables which had been updated but not fully flushed to disk. Since the InnoDB approach is approximately fixed time while the MyISAM time grows with the size of the data files, InnoDB offers greater availability as database sizes grow.
  2. InnoDB, with innodb_flush_log_at_trx_commit set to 1, flushes the transaction log after each transaction, greatly improving reliability.[1] MyISAM has to be run on top of a fully journaled filesystem, such as ext4 mounted with data=journal, to provide the same resilience against data file corruption. (The journal can be put on an SSD device for improved MyISAM performance, similarly, the InnoDB log can be placed on a non-journaled filesystem such as ext2 running on an SSD for a similar performance boost. Reliability is not sacrificed in either case.)
  3. InnoDB can be run in a mode where it has lower reliability but in some cases higher performance. Setting innodb_flush_log_at_trx_commit to 0 switches to a mode where transactions are not committed to disk before control is returned to the caller. Instead, disk flushes happen on a timer.[1]
  4. InnoDB automatically groups together multiple concurrent inserts and flushes them to disk at the same time.[2]
  5. MyISAM relies on the filesystem block cache for caching reads to the data rows and indexes, while InnoDB does this within the engine itself, combining the row caches with the index caches.[3]
  6. InnoDB will store rows in primary key order if present, else first unique key order. This can be significantly faster if the key is chosen to be good for common operations.[citation needed] If there is no primary key or unique key InnoDB will use an internally generated unique integer key and will physically store records in roughly insert order, as MyISAM does. Alternatively, an autoincrementing primary key field can be used to achieve the same effect.
  7. InnoDB provides updatable LZW compressed page storage for both data and indexes. MyISAM compressed tables can't be updated.[4]
  8. When operating in fully ACID-compliant modes, InnoDB must do a flush to disk at least once per transaction, though it will combine flushes for inserts from multiple connections. For typical hard drives or arrays, this will impose a limit of about 200 update transactions per second. For applications which require higher transaction rates, disk controllers with write caching and battery backup will be required in order to maintain transactional integrity. InnoDB also offers several modes which reduce this effect, naturally leading to a loss of transactional integrity guarantees, though still retaining greater reliability than MyISAM. MyISAM has none of this overhead, but only because it does not support transactions.
  9. MyISAM uses table-level locking on updates and deletes to any existing row, with an option to append new rows instead of taking a lock and inserting them into free space. InnoDB uses row-level locking. For large database applications where many rows are often updated, row-level locking is crucial because a single table-level lock significantly reduces concurrency in the database.
  10. Both InnoDB and MyISAM support full-text search, with InnoDB gaining full-text index support in MySQL 5.6.4,[5] but the results can be notably different[6]

Notes[edit]

External links[edit]