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DBMS > MySQL vs. Oracle Berkeley DB vs. Tarantool

System Properties Comparison MySQL vs. Oracle Berkeley DB vs. Tarantool

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Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionWidely used open source RDBMSWidely used in-process key-value storeIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelRelational DBMS infoKey/Value like access via memcached APIKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Key-value store
Secondary database modelsDocument store
Spatial DBMS
Document store
Relational DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1182.79
Rank#2  Overall
#2  Relational DBMS
Score3.38
Rank#101  Overall
#19  Key-value stores
#3  Native XML DBMS
Score1.81
Rank#152  Overall
#27  Key-value stores
Websitewww.mysql.comwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlwww.tarantool.io
Technical documentationdev.mysql.com/­docdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.tarantool.io/­en/­doc
DeveloperOracle infosince 2010, originally MySQL AB, then SunOracle infooriginally developed by Sleepycat, which was acquired by OracleVK
Initial release199519942008
Current release8.0.32, January 202318.1.40, May 20202.10.0, May 2022
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infocommercial license availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • PlanetScale: Deploy a fully managed database with the reliability of MySQL and the scale of open source Vitess with PlanetScale today. Predictably scale, increase workflow velocity, and deploy features with zero downtime.
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Implementation languageC and C++C, Java, C++ (depending on the Berkeley DB edition)C and C++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
BSD
Linux
macOS
Data schemeyesschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesnostring, double, decimal, uuid, integer, blob, boolean
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyes infoSQL interfaced based on SQLite is availableFull-featured ANSI SQL support
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary native API
Open binary protocol
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresyes infoproprietary syntaxnoLua, C and SQL stored procedures
Triggersyesyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL FabricnoneHash sharding based on virtual buckets
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage enginenoyes, with SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage engineACIDACID, read commited
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes, regular snapshots on disk, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesnoAccess rights for users and roles

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