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DBMS > Citus vs. Kinetica vs. Oracle Berkeley DB vs. Sadas Engine vs. SiriDB

System Properties Comparison Citus vs. Kinetica vs. Oracle Berkeley DB vs. Sadas Engine vs. SiriDB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLFully vectorized database across both GPUs and CPUsWidely used in-process key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen Source Time Series DBMS
Primary database modelRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSTime Series DBMS
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#123  Overall
#60  Relational DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score2.52
Rank#114  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.03
Rank#379  Overall
#156  Relational DBMS
Score0.11
Rank#346  Overall
#32  Time Series DBMS
Websitewww.citusdata.comwww.kinetica.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.sadasengine.comsiridb.com
Technical documentationdocs.citusdata.comdocs.kinetica.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.siridb.com
DeveloperKineticaOracle infooriginally developed by Sleepycat, which was acquired by OracleSADAS s.r.l.Cesbit
Initial release20102012199420062017
Current release8.1, December 20187.1, August 202118.1.40, May 20208.0
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infocommercial license availablecommercial infofree trial version availableOpen Source infoMIT License
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, C++C, Java, C++ (depending on the Berkeley DB edition)C++C
Server operating systemsLinuxLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
AIX
Linux
Windows
Linux
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes infoNumeric data
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 functionalitynoyes infoonly with the Berkeley DB XML editionnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like DML and DDL statementsyes infoSQL interfaced based on SQLite is availableyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
.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
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsnonono
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoonly for the SQL APInono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelnoAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accounts

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More resources
CitusKineticaOracle Berkeley DBSadas EngineSiriDB
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