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DBMS > Datomic vs. JanusGraph vs. Kdb vs. Oracle Berkeley DB

System Properties Comparison Datomic vs. JanusGraph vs. Kdb vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKdb  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017High performance Time Series DBMSWidely used in-process key-value store
Primary database modelRelational DBMSGraph DBMSTime Series DBMS
Vector DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
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
Websitewww.datomic.comjanusgraph.orgkx.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.datomic.comdocs.janusgraph.orgcode.kx.comdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperCognitectLinux Foundation; originally developed as Titan by AureliusKx Systems, a division of First Derivatives plcOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release201220172000 infokdb was released 2000, kdb+ in 20031994
Current release1.0.6735, June 20230.6.3, February 20233.6, May 201818.1.40, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0commercial infofree 32-bit versionOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaqC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAll OS with a Java VMLinux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonoyesyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnonoSQL-like query language (q)yes infoSQL interfaced based on SQLite is available
APIs and other access methodsRESTful HTTP APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesClojure
Java
Clojure
Java
Python
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
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesuser defined functionsno
TriggersBy using transaction functionsyesyes infowith viewsyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnoUser authentification and security via Rexster Graph Serverrights management via user accountsno
More information provided by the system vendor
DatomicJanusGraph infosuccessor of TitanKdbOracle Berkeley DB
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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DatomicJanusGraph infosuccessor of TitanKdbOracle Berkeley DB
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