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DBMS > Citus vs. NSDb vs. PostGIS vs. TinkerGraph vs. Vitess

System Properties Comparison Citus vs. NSDb vs. PostGIS vs. TinkerGraph vs. Vitess

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonNSDb  Xexclude from comparisonPostGIS  Xexclude from comparisonTinkerGraph  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpatial extension of PostgreSQLA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSTime Series DBMSSpatial DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument storeRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.citusdata.comnsdb.iopostgis.nettinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinvitess.io
Technical documentationdocs.citusdata.comnsdb.io/­Architecturepostgis.net/­documentationvitess.io/­docs
DeveloperThe Linux Foundation, PlanetScale
Initial release20102017200520092013
Current release8.1, December 20183.4.2, February 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0Open Source infoGPL v2.0Open Source infoApache 2.0Open 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 languageCJava, ScalaCJavaGo
Server operating systemsLinuxLinux
macOS
Docker
Linux
macOS
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynoyesno
Secondary indexesyesall fields are automatically indexedyesnoyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query languageyesnoyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP REST
WebSocket
TinkerPop 3ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Scala
Groovy
Java
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 proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nouser defined functionsnoyes infoproprietary syntax
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infobased on PostgreSQLnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes infobased on PostgreSQLnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencynoneEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnoyesyes infoRelationships in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesUsing Apache Luceneyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infobased on PostgreSQLnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
CitusNSDbPostGISTinkerGraphVitess
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