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DBMS > DolphinDB vs. FatDB vs. Kdb vs. TimesTen

System Properties Comparison DolphinDB vs. FatDB vs. Kdb vs. TimesTen

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonFatDB  Xexclude from comparisonKdb  Xexclude from comparisonTimesTen  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionDolphinDB 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 .NET NoSQL DBMS that can integrate with and extend SQL Server.High performance Time Series DBMSIn-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSDocument store
Key-value store
Time Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.dolphindb.comkx.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlcode.kx.comdocs.oracle.com/­database/­timesten-18.1
DeveloperDolphinDB, IncFatCloudKx Systems, a division of First Derivatives plcOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201820122000 infokdb was released 2000, kdb+ in 20031998
Current releasev2.00.4, January 20223.6, May 201811 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialcommercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#q
Server operating systemsLinux
Windows
WindowsLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLSQL-like query languageno infoVia inetgration in SQL ServerSQL-like query language (q)yes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesyes infovia applicationsuser defined functionsPL/SQL
Triggersnoyes infovia applicationsyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAdministrators, Users, Groupsno infoCan implement custom security layer via applicationsrights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
DolphinDBFatDBKdbTimesTen
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
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Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
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Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
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Licensing and pricing modelsupon request
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DolphinDBFatDBKdbTimesTen
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