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DBMS > Kdb vs. Oracle Berkeley DB vs. VelocityDB vs. XTDB

System Properties Comparison Kdb vs. Oracle Berkeley DB vs. VelocityDB vs. XTDB

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonVelocityDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionHigh performance Time Series DBMSWidely used in-process key-value storeA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)A general purpose database with bitemporal SQL and Datalog and graph queries
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
Graph DBMS
Object oriented DBMS
Document store
Secondary database modelsRelational DBMS
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
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitekx.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlvelocitydb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationcode.kx.comdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlvelocitydb.com/­UserGuidewww.xtdb.com/­docs
DeveloperKx Systems, a division of First Derivatives plcOracle infooriginally developed by Sleepycat, which was acquired by OracleVelocityDB IncJuxt Ltd.
Initial release2000 infokdb was released 2000, kdb+ in 2003199420112019
Current release3.6, May 201818.1.40, May 20207.x1.19, September 2021
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infocommercial license availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageqC, Java, C++ (depending on the Berkeley DB edition)C#Clojure
Server operating systemsLinux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Any that supports .NETAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes, extensible-data-notation format
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 editionnono
Secondary indexesyes infotable attribute 'grouped'yesyesyes
SQL infoSupport of SQLSQL-like query language (q)yes infoSQL interfaced based on SQLite is availablenolimited SQL, making use of Apache Calcite
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
.NetHTTP REST
JDBC
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
.NetClojure
Java
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersyes infowith viewsyes infoonly for the SQL APICallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlrights management via user accountsnoBased on Windows Authentication
More information provided by the system vendor
KdbOracle Berkeley DBVelocityDBXTDB infoformerly named Crux
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 DBVelocityDBXTDB infoformerly named Crux
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