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DBMS > LokiJS vs. Manticore Search vs. Microsoft Access vs. Oracle Berkeley DB vs. Realm

System Properties Comparison LokiJS vs. Manticore Search vs. Microsoft Access vs. Oracle Berkeley DB vs. Realm

Editorial information provided by DB-Engines
NameLokiJS  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionIn-memory JavaScript DBMSMulti-storage database for search, including full-text search.Microsoft 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 storeA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument storeSearch engineRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#260  Overall
#42  Document stores
Score0.29
Rank#302  Overall
#21  Search engines
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitegithub.com/­techfort/­LokiJSmanticoresearch.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrealm.io
Technical documentationtechfort.github.io/­LokiJSmanual.manticoresearch.comdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlrealm.io/­docs
DeveloperManticore SoftwareMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleRealm, acquired by MongoDB in May 2019
Initial release20142017199219942014
Current release6.0, February 20231902 (16.0.11328.20222), March 201918.1.40, May 2020
License infoCommercial or Open SourceOpen SourceOpen Source infoGPL version 2commercial infoBundled with Microsoft OfficeOpen Source infocommercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++C++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)FreeBSD
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeFixed schemayesschema-freeyes
Typing infopredefined data types such as float or datenoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesnoyes
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.noCan index from XMLyes infoonly with the Berkeley DB XML editionno
Secondary indexesyes infovia viewsyes infofull-text index on all search fieldsyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyes infobut not compliant to any SQL standardyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJavaScript APIBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesJavaScriptElixir
Go
Java
JavaScript (Node.js)
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
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresView functions in JavaScriptuser defined functionsyes infosince Access 2010 using the ACE-enginenono inforuns within the applications so server-side scripts are unnecessary
Triggersyesnoyes infosince Access 2010 using the ACE-engineyes infoonly for the SQL APIyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportednonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication based on Galera librarynoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single collection possibleyes infoisolated transactions for atomic changes and binary logging for safe writesACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infoThe original contents of fields are not stored in the Manticore index.yes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoIn-Memory realm
User concepts infoAccess controlnonono infoa simple user-level security was built in till version Access 2003noyes

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More resources
LokiJSManticore SearchMicrosoft AccessOracle Berkeley DBRealm
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