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DBMS > LMDB vs. Oracle Berkeley DB vs. SQLite

System Properties Comparison LMDB vs. Oracle Berkeley DB vs. SQLite

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Editorial information provided by DB-Engines
NameLMDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionA high performant, light-weight, embedded key-value database libraryWidely used in-process key-value storeWidely used embeddable, in-process RDBMS
Primary database modelKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.65
Rank#125  Overall
#24  Key-value stores
Score3.54
Rank#100  Overall
#17  Key-value stores
#3  Native XML DBMS
Score125.14
Rank#9  Overall
#6  Relational DBMS
Websitewww.symas.com/­symas-embedded-database-lmdbwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.sqlite.org
Technical documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.sqlite.org/­docs.html
DeveloperSymasOracle infooriginally developed by Sleepycat, which was acquired by OracleDwayne Richard Hipp
Initial release201119942000
Current release0.9.29, March 202118.1.40, May 20203.43.1  (11 September 2023), September 2023
License infoCommercial or Open SourceOpen SourceOpen Source infocommercial license availableOpen Source infoPublic Domain
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.
Implementation languageCC, Java, C++ (depending on the Berkeley DB edition)C
Server operating systemsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
server-less
Data schemeschema-freeschema-freeyes infodynamic column types
Typing infopredefined data types such as float or datenoyes infonot rigid because of 'dynamic typing' concept.
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.noyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableyes infoSQL-92 is not fully supported
APIs and other access methodsADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC.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
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnonono
Triggersnoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infovia file-system locks
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnonono

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LMDBOracle Berkeley DBSQLite
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