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DBMS > PouchDB vs. RDF4J vs. SingleStore vs. Splice Machine

System Properties Comparison PouchDB vs. RDF4J vs. SingleStore vs. Splice Machine

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Editorial information provided by DB-Engines
NamePouchDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionJavaScript DBMS with an API inspired by CouchDBRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeRDF storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector 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
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitepouchdb.comrdf4j.orgwww.singlestore.comsplicemachine.com
Technical documentationpouchdb.com/­guidesrdf4j.org/­documentationdocs.singlestore.comsplicemachine.com/­how-it-works
DeveloperApache Software FoundationSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SingleStore Inc.Splice Machine
Initial release2012200420132014
Current release7.1.1, June 20198.5, January 20243.1, March 2021
License infoCommercial or Open SourceOpen SourceOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infofree developer edition availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaC++, GoJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Unix
Windows
Linux info64 bit version requiredLinux
OS X
Solaris
Windows
Data schemeschema-freeyes infoRDF Schemasyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nono
Secondary indexesyes infovia viewsyesyesyes
SQL infoSupport of SQLnonoyes infobut no triggers and foreign keysyes
APIs and other access methodsHTTP 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
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScriptJava
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresView functions in JavaScriptyesyesyes infoJava
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infowith a proxy-based framework, named couchdb-loungenoneSharding infohash partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
noneSource-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infocan define user-defined aggregate functions for map-reduce-style calculationsYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoIsolation support depends on the API usedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoin-memory storage is supported as wellyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnonoFine grained access control via users, groups and rolesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
PouchDBRDF4J infoformerly known as SesameSingleStore infoformer name was MemSQLSplice Machine
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
PouchDBRDF4J infoformerly known as SesameSingleStore infoformer name was MemSQLSplice Machine
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