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DBMS > FeatureBase vs. Hive vs. IRONdb vs. OpenEdge vs. RDF4J

System Properties Comparison FeatureBase vs. Hive vs. IRONdb vs. OpenEdge vs. RDF4J

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHive  Xexclude from comparisonIRONdb  Xexclude from comparisonOpenEdge  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.data 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 simplicityApplication development environment with integrated database management systemRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.featurebase.comhive.apache.orgwww.circonus.com/solutions/time-series-database/www.progress.com/­openedgerdf4j.org
Technical documentationdocs.featurebase.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.circonus.com/irondb/category/getting-starteddocumentation.progress.com/­output/­ua/­OpenEdge_latestrdf4j.org/­documentation
DeveloperMolecula and Pilosa Open Source ContributorsApache Software Foundation infoinitially developed by FacebookCirconus LLC.Progress Software CorporationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20172012201719842004
Current release2022, May 20223.1.3, April 2022V0.10.20, January 2018OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercialOpen 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 languageGoJavaC and C++Java
Server operating systemsLinux
macOS
All OS with a Java VMLinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyesyes
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.nonoyes
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSQL queriesSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)yes infoclose to SQL 92no
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
Thrift
HTTP APIJDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
Python
C++
Java
PHP
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Progress proprietary ABL (Advanced Business Language)Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes, in Luayesyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodehorizontal partitioning infosince Version 11.4none
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorconfigurable replication factor, datacenter awareSource-replica replicationnone
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 consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyesyes 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.yesnono
User concepts infoAccess controlAccess rights for users, groups and rolesnoUsers and groupsno

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More resources
FeatureBaseHiveIRONdbOpenEdgeRDF4J infoformerly known as Sesame
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