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DBMS > IRONdb vs. LevelDB vs. Oracle Berkeley DB vs. RDF4J vs. SiteWhere

System Properties Comparison IRONdb vs. LevelDB vs. Oracle Berkeley DB vs. RDF4J vs. SiteWhere

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonLevelDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSiteWhere  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesWidely used in-process key-value storeRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.M2M integration platform for persisting/querying time series data
Primary database modelTime Series DBMSKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
RDF storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.circonus.com/solutions/time-series-database/github.com/­google/­leveldbwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrdf4j.orggithub.com/­sitewhere/­sitewhere
Technical documentationdocs.circonus.com/irondb/category/getting-startedgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.oracle.com/­cd/­E17076_05/­html/­index.htmlrdf4j.org/­documentationsitewhere1.sitewhere.io/­index.html
DeveloperCirconus LLC.GoogleOracle infooriginally developed by Sleepycat, which was acquired by OracleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SiteWhere
Initial release20172011199420042010
Current releaseV0.10.20, January 20181.23, February 202118.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infocommercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++C, Java, C++ (depending on the Berkeley DB edition)JavaJava
Server operating systemsLinuxIllumos
Linux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes infoRDF Schemaspredefined scheme
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsnonoyesyes
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 infoonly with the Berkeley DB XML editionno
Secondary indexesnonoyesyesno
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)noyes infoSQL interfaced based on SQLite is availablenono
APIs and other access methodsHTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP REST
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Java
PHP
Python
Server-side scripts infoStored proceduresyes, in Luanonoyes
Triggersnonoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenonenonenoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenoneSource-replica replicationnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnonononoUsers with fine-grained authorization concept

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More resources
IRONdbLevelDBOracle Berkeley DBRDF4J infoformerly known as SesameSiteWhere
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