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DBMS > Hive vs. IRONdb vs. RDF4J vs. RisingWave vs. TerarkDB

System Properties Comparison Hive vs. IRONdb vs. RDF4J vs. RisingWave vs. TerarkDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRisingWave  Xexclude from comparisonTerarkDB  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 HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A distributed RDBMS for stream processing, wire-compatible with PostgreSQLA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSTime Series DBMSRDF storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.58
Rank#242  Overall
#111  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitehive.apache.orgwww.circonus.com/solutions/time-series-database/rdf4j.orgwww.risingwave.com/­databasegithub.com/­bytedance/­terarkdb
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentationdocs.risingwave.com/­docs/­current/­introbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation infoinitially developed by FacebookCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.RisingWave LabsByteDance, originally Terark
Initial release20122017200420222016
Current release3.1.3, April 2022V0.10.20, January 20181.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache Version 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++JavaRustC++
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Unix
Windows
Docker
Linux
macOS
Data schemeyesschema-freeyes infoRDF Schemasyesschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesStandard SQL-types and JSONno
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.nonono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)noyesno
APIs and other access methodsJDBC
ODBC
Thrift
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
PostgreSQL wire protocol
C++ API
Java API
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
Java
PHP
Python
Go
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes, in LuayesUDFs in Python or Javano
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorconfigurable replication factor, datacenter awarenonenone
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 consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoIsolation support depends on the API usednono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesnonoUsers and Rolesno

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More resources
HiveIRONdbRDF4J infoformerly known as SesameRisingWaveTerarkDB
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