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DBMS > Datomic vs. PouchDB vs. RDF4J vs. Teradata

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

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonPouchDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityJavaScript 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 modelRelational 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
Score1.59
Rank#150  Overall
#69  Relational DBMS
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.datomic.compouchdb.comrdf4j.orgwww.teradata.com
Technical documentationdocs.datomic.compouchdb.com/­guidesrdf4j.org/­documentationdocs.teradata.com
DeveloperCognitectApache Software FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Teradata
Initial release2012201220041984
Current release1.0.6735, June 20237.1.1, June 2019Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen 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 languageJava, ClojureJavaScriptJava
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Unix
Windows
hosted
Linux
Data schemeyesschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesyes infovia viewsyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnononoyes infoSQL 2016 + extensions
APIs and other access methodsRESTful HTTP 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 languagesClojure
Java
JavaScriptJava
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoTransaction FunctionsView functions in JavaScriptyesyes infoUDFs, stored procedures, table functions in parallel
TriggersBy using transaction functionsyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infowith a proxy-based framework, named couchdb-loungenoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-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 ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes 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.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnononofine grained access rights according to SQL-standard

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More resources
DatomicPouchDBRDF4J infoformerly known as SesameTeradata
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