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DBMS > Datomic vs. LokiJS vs. MaxDB vs. Microsoft Access vs. Oracle Berkeley DB

System Properties Comparison Datomic vs. LokiJS vs. MaxDB vs. Microsoft Access vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonLokiJS  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityIn-memory JavaScript DBMSA robust and reliable RDBMS optimized to run all major SAP solutionsMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Widely used in-process key-value store
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitewww.datomic.comgithub.com/­techfort/­LokiJSmaxdb.sap.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.datomic.comtechfort.github.io/­LokiJSmaxdb.sap.com/­documentationdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperCognitectSAP, acquired from Software AG (Adabas-D) in 1997MicrosoftOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20122014198419921994
Current release1.0.6735, June 20237.9.10.12, February 20241902 (16.0.11328.20222), March 201918.1.40, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Sourcecommercial infoLimited community edition freecommercial infoBundled with Microsoft OfficeOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaScriptC++C++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)AIX
HP-UX
Linux
Solaris
Windows
Windows infoNot a real database server, but making use of DLLsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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.nononoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyes infovia viewsyesyesyes
SQL infoSupport of SQLnonoyesyes infobut not compliant to any SQL standardyes infoSQL interfaced based on SQLite is available
APIs and other access methodsRESTful HTTP APIJavaScript APIADO.NET
JDBC
ODBC
WebDAV
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesClojure
Java
JavaScript.Net
C#
Java
Perl
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.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
Server-side scripts infoStored proceduresyes infoTransaction FunctionsView functions in JavaScriptyesyes infosince Access 2010 using the ACE-engineno
TriggersBy using transaction functionsyesyesyes infosince Access 2010 using the ACE-engineyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonenonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single collection possibleACIDACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesnoyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003no

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More resources
DatomicLokiJSMaxDB infoformerly named Adabas-DMicrosoft AccessOracle Berkeley DB
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