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DBMS > IRONdb vs. PouchDB vs. RDF4J vs. Teradata

System Properties Comparison IRONdb vs. PouchDB vs. RDF4J vs. Teradata

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonPouchDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTeradata  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 simplicityJavaScript DBMS with an API inspired by CouchDBRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelTime Series DBMSDocument storeRDF storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#115  Overall
#21  Document stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/pouchdb.comrdf4j.orgwww.teradata.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedpouchdb.com/­guidesrdf4j.org/­documentationdocs.teradata.com
DeveloperCirconus LLC.Apache Software FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Teradata
Initial release2017201220041984
Current releaseV0.10.20, January 20187.1.1, June 2019Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaScriptJava
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Unix
Windows
hosted
Linux
Data schemeschema-freeschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsnoyesyes
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 indexesnoyes infovia viewsyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)nonoyes infoSQL 2016 + extensions
APIs and other access methodsHTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScriptJava
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes, in LuaView functions in JavaScriptyesyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding infowith a proxy-based framework, named couchdb-loungenoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes 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.noyesyes
User concepts infoAccess controlnononofine grained access rights according to SQL-standard

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More resources
IRONdbPouchDBRDF4J infoformerly known as SesameTeradata
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