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DBMS > Hive vs. LeanXcale vs. OpenTSDB vs. RDF4J

System Properties Comparison Hive vs. LeanXcale vs. OpenTSDB vs. RDF4J

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonLeanXcale  Xexclude from comparisonOpenTSDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesScalable Time Series DBMS based on HBaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitehive.apache.orgwww.leanxcale.comopentsdb.netrdf4j.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeopentsdb.net/­docs/­build/­html/­index.htmlrdf4j.org/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookLeanXcalecurrently maintained by Yahoo and other contributorsSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2012201520112004
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoLGPLOpen 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 languageJavaJavaJava
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesnumeric data for metrics, strings for tagsyes
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.no
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough Apache Derbynono
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
HTTP API
Telnet API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC++
Java
PHP
Python
C
Java
Scala
Erlang
Go
Java
Python
R
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesno
User concepts infoAccess controlAccess rights for users, groups and rolesnono

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More resources
HiveLeanXcaleOpenTSDBRDF4J infoformerly known as Sesame
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