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DBMS > Amazon DocumentDB vs. Apache Druid vs. Microsoft Access vs. ObjectBox vs. SwayDB

System Properties Comparison Amazon DocumentDB vs. Apache Druid vs. Microsoft Access vs. ObjectBox vs. SwayDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Druid  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonObjectBox  Xexclude from comparisonSwayDB  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 dataMicrosoft 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.)Extremely fast embedded database for small devices, IoT and MobileAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument storeRelational DBMS
Time Series DBMS
Relational DBMSObject oriented DBMSKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websiteaws.amazon.com/­documentdbdruid.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accessobjectbox.ioswaydb.simer.au
Technical documentationaws.amazon.com/­documentdb/­resourcesdruid.apache.org/­docs/­latest/­designdeveloper.microsoft.com/­en-us/­accessdocs.objectbox.io
DeveloperApache Software Foundation and contributorsMicrosoftObjectBox LimitedSimer Plaha
Initial release20192012199220172018
Current release29.0.1, April 20241902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercial infoBundled with Microsoft OfficeOpen Source infoApache License 2.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++Scala
Server operating systemshostedLinux
OS X
Unix
Windows infoNot a real database server, but making use of DLLsAndroid
iOS
Linux
macOS
Windows
Data schemeschema-freeyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyesyesyesno
SQL infoSupport of SQLnoSQL for queryingyes infobut not compliant to any SQL standardnono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
RESTful HTTP/JSON API
ADO.NET
DAO
ODBC
OLE DB
Proprietary native API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-enginenono
Triggersnonoyes infosince Access 2010 using the ACE-enginenono
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 enginesnoneonline/offline synchronization between client and servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID infobut no files for transaction loggingACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.nonoyes
User concepts infoAccess controlAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno infoa simple user-level security was built in till version Access 2003yesno
More information provided by the system vendor
Amazon DocumentDBApache DruidMicrosoft AccessObjectBoxSwayDB
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