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DBMS > Datomic vs. EXASOL vs. NSDb vs. RethinkDB vs. Vitess

System Properties Comparison Datomic vs. EXASOL vs. NSDb vs. RethinkDB vs. Vitess

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEXASOL  Xexclude from comparisonNSDb  Xexclude from comparisonRethinkDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.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.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score2.84
Rank#106  Overall
#19  Document stores
Score1.04
Rank#191  Overall
#89  Relational DBMS
Websitewww.datomic.comwww.exasol.comnsdb.iorethinkdb.comvitess.io
Technical documentationdocs.datomic.comwww.exasol.com/­resourcesnsdb.io/­Architecturerethinkdb.com/­docsvitess.io/­docs
DeveloperCognitectExasolThe Linux Foundation infosince July 2017The Linux Foundation, PlanetScale
Initial release20122000201720092013
Current release1.0.6735, June 20232.4.1, August 202015.0.2, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoApache Version 2.0, commercial licenses available
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++Go
Server operating systemsAll OS with a Java VMLinux
macOS
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes 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.nononono
Secondary indexesyesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLnoyesSQL-like query languagenoyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP API.Net
JDBC
ODBC
WebSocket
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesClojure
Java
Java
Lua
Python
R
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsnoyes infoproprietary syntax
TriggersBy using transaction functionsyesClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingSharding inforange basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoAtomic single-document operationsACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCC basedyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesUsing Apache Luceneyesyes
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 controlnoAccess rights for users, groups and roles according to SQL-standardyes infousers and table-level permissionsUsers with fine-grained authorization concept infono user groups or roles

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More resources
DatomicEXASOLNSDbRethinkDBVitess
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