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DBMS > Citus vs. Kdb vs. Oracle Berkeley DB vs. TinkerGraph

System Properties Comparison Citus vs. Kdb vs. Oracle Berkeley DB vs. TinkerGraph

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonKdb  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLHigh performance Time Series DBMSWidely used in-process key-value storeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitewww.citusdata.comkx.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmltinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.citusdata.comcode.kx.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperKx Systems, a division of First Derivatives plcOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20102000 infokdb was released 2000, kdb+ in 200319942009
Current release8.1, December 20183.6, May 201818.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercial infofree 32-bit versionOpen Source infocommercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCqC, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemsLinuxLinux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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 functionalityyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyes infotable attribute 'grouped'yesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query language (q)yes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
TinkerPop 3
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Groovy
Java
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsnono
Triggersyesyes infowith viewsyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsnono
More information provided by the system vendor
CitusKdbOracle Berkeley DBTinkerGraph
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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CitusKdbOracle Berkeley DBTinkerGraph
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