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DBMS > Datomic vs. Microsoft Access vs. NSDb vs. RethinkDB

System Properties Comparison Datomic vs. Microsoft Access vs. NSDb vs. RethinkDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNSDb  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMicrosoft 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 KubernetesDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.93
Rank#120  Overall
#59  Relational DBMS
Score113.45
Rank#11  Overall
#7  Relational DBMS
Score0.00
Rank#352  Overall
#33  Time Series DBMS
Score3.23
Rank#90  Overall
#16  Document stores
Websitewww.datomic.comwww.microsoft.com/­en-us/­microsoft-365/­accessnsdb.iorethinkdb.com
Technical documentationdocs.datomic.comdeveloper.microsoft.com/­en-us/­accessnsdb.io/­Architecturerethinkdb.com/­docs
DeveloperCognitectMicrosoftThe Linux Foundation infosince July 2017
Initial release2012199220172009
Current release0.9.5951, July 20191902 (16.0.11328.20222), March 20192.4.1, August 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++Java, ScalaC++
Server operating systemsAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsLinux
macOS
Linux
OS X
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes infostring, binary, float, bool, date, geometry
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.nonono
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardSQL-like query languageno
APIs and other access methodsRESTful HTTP APIADO.NET
DAO
ODBC
OLE DB
gRPC
HTTP REST
WebSocket
Supported programming languagesClojure
Java
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Scala
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infosince Access 2010 using the ACE-engineno
TriggersBy using transaction functionsyes infosince Access 2010 using the ACE-engineClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneShardingSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingnoAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC based
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infobut no files for transaction loggingUsing Apache Luceneyes
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 developmentno
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003yes infousers and table-level permissions

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More resources
DatomicMicrosoft AccessNSDbRethinkDB
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