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DBMS > Citus vs. DolphinDB vs. Graph Engine vs. Newts vs. Tkrzw

System Properties Comparison Citus vs. DolphinDB vs. Graph Engine vs. Newts vs. Tkrzw

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDolphinDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonNewts  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineTime Series DBMS based on CassandraA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSTime Series DBMSGraph DBMS
Key-value store
Time Series DBMSKey-value store
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.citusdata.comwww.dolphindb.comwww.graphengine.ioopennms.github.io/­newtsdbmx.net/­tkrzw
Technical documentationdocs.citusdata.comdocs.dolphindb.cn/­en/­help200/­index.htmlwww.graphengine.io/­docs/­manualgithub.com/­OpenNMS/­newts/­wiki
DeveloperDolphinDB, IncMicrosoftOpenNMS GroupMikio Hirabayashi
Initial release20102018201020142020
Current release8.1, December 2018v2.00.4, January 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial infofree community version availableOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache Version 2.0
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 languageCC++.NET and CJavaC++
Server operating systemsLinuxLinux
Windows
.NETLinux
OS X
Windows
Linux
macOS
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 functionalitynononono
Secondary indexesyesyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query languagenonono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
RESTful HTTP APIHTTP REST
Java API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
F#
Visual Basic
JavaC++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesyesnono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioninghorizontal partitioningSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardAdministrators, Users, Groupsnono

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More resources
CitusDolphinDBGraph Engine infoformer name: TrinityNewtsTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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