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DBMS > KairosDB vs. LeanXcale vs. OrigoDB vs. RDF4J

System Properties Comparison KairosDB vs. LeanXcale vs. OrigoDB vs. RDF4J

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Editorial information provided by DB-Engines
NameKairosDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonOrigoDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionDistributed Time Series DBMS based on Cassandra or H2A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA fully ACID in-memory object graph databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Document store
Object oriented DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitegithub.com/­kairosdb/­kairosdbwww.leanxcale.comorigodb.comrdf4j.org
Technical documentationkairosdb.github.ioorigodb.com/­docsrdf4j.org/­documentation
DeveloperLeanXcaleRobert Friberg et alSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201320152009 infounder the name LiveDB2004
Current release1.2.2, November 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#Java
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes
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.nono infocan be achieved using .NET
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infothrough Apache Derbynono
APIs and other access methodsGraphite protocol
HTTP REST
Telnet API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
.NET Client API
HTTP API
LINQ
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
JavaScript infoNode.js
PHP
Python
C
Java
Scala
.NetJava
PHP
Python
Server-side scripts infoStored proceduresnoyesyes
Triggersnoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlsimple password-based access controlRole based authorizationno

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More resources
KairosDBLeanXcaleOrigoDBRDF4J infoformerly known as Sesame
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