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DBMS > Microsoft Access vs. NSDb vs. OrigoDB vs. Sphinx vs. SwayDB

System Properties Comparison Microsoft Access vs. NSDb vs. OrigoDB vs. Sphinx vs. SwayDB

Editorial information provided by DB-Engines
NameMicrosoft Access  Xexclude from comparisonNSDb  Xexclude from comparisonOrigoDB  Xexclude from comparisonSphinx  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionMicrosoft 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.)Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fully ACID in-memory object graph databaseOpen source search engine for searching in data from different sources, e.g. relational databasesAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
Search engineKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitewww.microsoft.com/­en-us/­microsoft-365/­accessnsdb.ioorigodb.comsphinxsearch.comswaydb.simer.au
Technical documentationdeveloper.microsoft.com/­en-us/­accessnsdb.io/­Architectureorigodb.com/­docssphinxsearch.com/­docs
DeveloperMicrosoftRobert Friberg et alSphinx Technologies Inc.Simer Plaha
Initial release199220172009 infounder the name LiveDB20012018
Current release1902 (16.0.11328.20222), March 20193.5.1, February 2023
License infoCommercial or Open Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, ScalaC#C++Scala
Server operating systemsWindows infoNot a real database server, but making use of DLLsLinux
macOS
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringUser defined using .NET types and collectionsnono
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.nono infocan be achieved using .NETno
Secondary indexesyesall fields are automatically indexedyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyes infobut not compliant to any SQL standardSQL-like query languagenoSQL-like query language (SphinxQL)no
APIs and other access methodsADO.NET
DAO
ODBC
OLE DB
gRPC
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
Proprietary protocol
Supported programming languagesC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Scala
.NetC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyes infosince Access 2010 using the ACE-enginenoyesnono
Triggersyes infosince Access 2010 using the ACE-engineyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infobut no files for transaction loggingnoACIDnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infobut no files for transaction loggingUsing Apache Luceneyes infoWrite ahead logyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlno infoa simple user-level security was built in till version Access 2003Role based authorizationnono

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More resources
Microsoft AccessNSDbOrigoDBSphinxSwayDB
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