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DBMS > Dolt vs. EsgynDB vs. Hive vs. PouchDB vs. RDF4J

System Properties Comparison Dolt vs. EsgynDB vs. Hive vs. PouchDB vs. RDF4J

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonEsgynDB  Xexclude from comparisonHive  Xexclude from comparisonPouchDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaEnterprise-class SQL-on-Hadoop solution, powered by Apache Trafodiondata warehouse software for querying and managing large distributed datasets, built on HadoopJavaScript DBMS with an API inspired by CouchDBRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeRDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.esgyn.cnhive.apache.orgpouchdb.comrdf4j.org
Technical documentationdocs.dolthub.comcwiki.apache.org/­confluence/­display/­Hive/­Homepouchdb.com/­guidesrdf4j.org/­documentation
DeveloperDoltHub IncEsgynApache Software Foundation infoinitially developed by FacebookApache Software FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20182015201220122004
Current release3.1.3, April 20227.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2Open SourceOpen 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 languageGoC++, JavaJavaJavaScriptJava
Server operating systemsLinux
macOS
Windows
LinuxAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Unix
Windows
Data schemeyesyesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesyesyes infovia viewsyes
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsnono
APIs and other access methodsCLI Client
HTTP REST
ADO.NET
JDBC
ODBC
JDBC
ODBC
Thrift
HTTP 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
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/ADO.NetC++
Java
PHP
Python
JavaScriptJava
PHP
Python
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseJava Stored Proceduresyes infouser defined functions and integration of map-reduceView functions in JavaScriptyes
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replication between multi datacentersselectable replication factorMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes 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.noyes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standardAccess rights for users, groups and rolesnono

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More resources
DoltEsgynDBHivePouchDBRDF4J infoformerly known as Sesame
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