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DBMS > Datomic vs. NSDb vs. OmniSci vs. RethinkDB vs. SpatiaLite

System Properties Comparison Datomic vs. NSDb vs. OmniSci vs. RethinkDB vs. SpatiaLite

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonNSDb  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonRethinkDB  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsDBMS for the Web with a mechanism to push updated query results to applications in realtime.Spatial extension of SQLite
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument storeSpatial DBMS
Secondary database modelsSpatial DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.82
Rank#127  Overall
#62  Relational DBMS
Score0.00
Rank#350  Overall
#33  Time Series DBMS
Score1.23
Rank#157  Overall
#76  Relational DBMS
Score3.09
Rank#96  Overall
#17  Document stores
Score1.96
Rank#121  Overall
#2  Spatial DBMS
Websitewww.datomic.comnsdb.iowww.omnisci.comrethinkdb.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.datomic.comnsdb.io/­Architecturedocs.omnisci.comrethinkdb.com/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperCognitectMapD Technologies, Inc.The Linux Foundation infosince July 2017Alessandro Furieri
Initial release20122017201620092008
Current release0.9.5951, July 20195.6, April 20212.4.1, August 20205.0.0, August 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache Version 2Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJava, ScalaC++ and CUDAC++C++
Server operating systemsAll OS with a Java VMLinux
macOS
LinuxLinux
OS X
Windows
server-less
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyes infostring, binary, float, bool, date, geometryyes
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.nonononono
Secondary indexesyesall fields are automatically indexednoyesyes
SQL infoSupport of SQLnoSQL-like query languageyesnoyes
APIs and other access methodsRESTful HTTP APIgRPC
HTTP REST
WebSocket
JDBC
ODBC
Thrift
Supported programming languagesClojure
Java
Java
Scala
All languages supporting JDBC/ODBC/Thrift
Python
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 Functionsnonono
TriggersBy using transaction functionsnoClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infoRound robinSharding inforange basednone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)Using Apache Luceneyesyesyes
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 developmentyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes infousers and table-level permissionsno

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More resources
DatomicNSDbOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018RethinkDBSpatiaLite
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