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DBMS > Amazon DocumentDB vs. Apache Druid vs. LokiJS vs. Microsoft Access vs. Realm

System Properties Comparison Amazon DocumentDB vs. Apache Druid vs. LokiJS vs. Microsoft Access vs. Realm

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Druid  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataIn-memory JavaScript DBMSMicrosoft 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.)A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument storeRelational DBMS
Time Series DBMS
Document storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websiteaws.amazon.com/­documentdbdruid.apache.orggithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­microsoft-365/­accessrealm.io
Technical documentationaws.amazon.com/­documentdb/­resourcesdruid.apache.org/­docs/­latest/­designtechfort.github.io/­LokiJSdeveloper.microsoft.com/­en-us/­accessrealm.io/­docs
DeveloperApache Software Foundation and contributorsMicrosoftRealm, acquired by MongoDB in May 2019
Initial release20192012201419922014
Current release29.0.1, April 20241902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Sourcecommercial infoBundled with Microsoft OfficeOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC++
Server operating systemshostedLinux
OS X
Unix
server-less, requires a JavaScript environment (browser, Node.js)Windows infoNot a real database server, but making use of DLLsAndroid
Backend: server-less
iOS
Windows
Data schemeschema-freeyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononono
Secondary indexesyesyesyes infovia viewsyesyes
SQL infoSupport of SQLnoSQL for queryingnoyes infobut not compliant to any SQL standardno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
RESTful HTTP/JSON API
JavaScript APIADO.NET
DAO
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnonoView functions in JavaScriptyes infosince Access 2010 using the ACE-engineno inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyesyes infosince Access 2010 using the ACE-engineyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basednonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes, via HDFS, S3 or other storage enginesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnono infoatomic operations within a single collection possibleACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes 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.noyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnono infoa simple user-level security was built in till version Access 2003yes

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More resources
Amazon DocumentDBApache DruidLokiJSMicrosoft AccessRealm
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