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DBMS > Hive vs. Ingres vs. IRONdb vs. OpenTSDB vs. RDF4J

System Properties Comparison Hive vs. Ingres vs. IRONdb vs. OpenTSDB vs. RDF4J

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonIngres  Xexclude from comparisonIRONdb  Xexclude from comparisonOpenTSDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopWell established RDBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityScalable 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 DBMSRelational DBMSTime Series DBMSTime Series DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score4.67
Rank#77  Overall
#42  Relational DBMS
Score1.73
Rank#147  Overall
#12  Time Series DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Websitehive.apache.orgwww.actian.com/­databases/­ingreswww.circonus.com/solutions/time-series-database/opentsdb.netrdf4j.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.actian.com/­ingresdocs.circonus.com/irondb/category/getting-startedopentsdb.net/­docs/­build/­html/­index.htmlrdf4j.org/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookActian CorporationCirconus LLC.currently maintained by Yahoo and other contributorsSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20121974 infooriginally developed at University Berkely in early 1970s201720112004
Current release3.1.3, April 202211.2, May 2022V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoLGPLOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC and C++JavaJava
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxLinux
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesschema-freeschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsnumeric 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 infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query language (Circonus Analytics Query Language: CAQL)nono
APIs and other access methodsJDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP APIHTTP 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
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Erlang
Go
Java
Python
R
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyes, in Luanoyes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyAutomatic, metric affinity per nodeSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorIngres Replicatorconfigurable replication factor, datacenter awareselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.nonono
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardnonono

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More resources
HiveIngresIRONdbOpenTSDBRDF4J infoformerly known as Sesame
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