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DBMS > PouchDB vs. Stardog vs. TimescaleDB vs. Valentina Server

System Properties Comparison PouchDB vs. Stardog vs. TimescaleDB vs. Valentina Server

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Editorial information provided by DB-Engines
NamePouchDB  Xexclude from comparisonStardog  Xexclude from comparisonTimescaleDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionJavaScript DBMS with an API inspired by CouchDBEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLObject-relational database and reports server
Primary database modelDocument storeGraph DBMS
RDF store
Time Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#116  Overall
#22  Document stores
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websitepouchdb.comwww.stardog.comwww.timescale.comwww.valentina-db.net
Technical documentationpouchdb.com/­guidesdocs.stardog.comdocs.timescale.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software FoundationStardog-UnionTimescaleParadigma Software
Initial release2012201020171999
Current release7.1.1, June 20197.3.0, May 20202.13.0, November 20235.7.5
License infoCommercial or Open SourceOpen Sourcecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaC
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
macOS
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or datenoyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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 infoImport/export of XML data possibleyes
Secondary indexesyes infovia viewsyes infosupports real-time indexing in full-text and geospatialyesyes
SQL infoSupport of SQLnoYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes infofull PostgreSQL SQL syntaxyes
APIs and other access methodsHTTP REST infoonly for PouchDB Server
JavaScript API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ODBC
Supported programming languagesJavaScript.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresView functions in JavaScriptuser defined functions and aggregates, HTTP Server extensions in Javauser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes
Triggersyesyes infovia event handlersyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infowith a proxy-based framework, named couchdb-loungenoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication in HA-ClusterSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlnoAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
PouchDBStardogTimescaleDBValentina Server
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