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DBMS > Kdb vs. Oracle Berkeley DB vs. Rockset vs. Trafodion

System Properties Comparison Kdb vs. Oracle Berkeley DB vs. Rockset vs. Trafodion

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRockset  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh performance Time Series DBMSWidely used in-process key-value storeA scalable, reliable search and analytics service in the cloud, built on RocksDBTransactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMS
Vector DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeRelational DBMS
Secondary database modelsRelational DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitekx.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrockset.comtrafodion.apache.org
Technical documentationcode.kx.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.rockset.comtrafodion.apache.org/­documentation.html
DeveloperKx Systems, a division of First Derivatives plcOracle infooriginally developed by Sleepycat, which was acquired by OracleRocksetApache Software Foundation, originally developed by HP
Initial release2000 infokdb was released 2000, kdb+ in 2003199420192014
Current release3.6, May 201818.1.40, May 20202.3.0, February 2019
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infocommercial license availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC, Java, C++ (depending on the Berkeley DB edition)C++C++, Java
Server operating systemsLinux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hostedLinux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnodynamic typingyes
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.yesyes infoonly with the Berkeley DB XML editionno infoingestion from XML files supportedno
Secondary indexesyes infotable attribute 'grouped'yesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query language (q)yes infoSQL interfaced based on SQLite is availableRead-only SQL queries, including JOINsyes
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
HTTP RESTADO.NET
JDBC
ODBC
Supported programming languagesC
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
Go
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functionsnonoJava Stored Procedures
Triggersyes infowith viewsyes infoonly for the SQL APInono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlrights management via user accountsnoAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standard
More information provided by the system vendor
KdbOracle Berkeley DBRocksetTrafodion
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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More resources
KdbOracle Berkeley DBRocksetTrafodion
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