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DBMS > PostgreSQL vs. Rockset vs. Stardog vs. TinkerGraph

System Properties Comparison PostgreSQL vs. Rockset vs. Stardog vs. TinkerGraph

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Editorial information provided by DB-Engines
NamePostgreSQL  Xexclude from comparisonRockset  Xexclude from comparisonStardog  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA scalable, reliable search and analytics service in the cloud, built on RocksDBEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoningA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document storeGraph DBMS
RDF store
Graph DBMS
Secondary database modelsDocument storeRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score514.80
Rank#4  Overall
#4  Relational DBMS
Score0.42
Rank#221  Overall
#32  Document stores
Score1.07
Rank#143  Overall
#10  Graph DBMS
#6  RDF stores
Score0.18
Rank#268  Overall
#23  Graph DBMS
Websitewww.postgresql.orgrockset.comwww.stardog.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.postgresql.org/­docs/­manualsdocs.rockset.com/­overviewwww.stardog.com/­docs
DeveloperPostgreSQL Global Development Group infowww.postgresql.org/­developerRocksetStardog-Union
Initial release1989 info1989: Postgres, 1996: PostgreSQL201920102009
Current release12.3, May 20206.2.3, July 2019
License infoCommercial or Open SourceOpen Source infoBSDcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ScaleGrid: Fully managed PostgreSQL hosting with high availability, dedicated servers, and superuser control on the #1 multi-cloud Amazon RDS alternative.
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
Implementation languageCC++JavaJava
Server operating systemsFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
hostedLinux
macOS
Windows
Data schemeyesschema-freeschema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateyesdynamic typingyesyes
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.yes infospecific XML-type available, but no XML query functionality.no infoingestion from XML files supportedno infoImport/export of XML data possibleno
Secondary indexesyesall fields are automatically indexedyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLyes infostandard with numerous extensionsRead-only SQL queries, including JOINsSPARQL is used as query languageno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP RESTGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
TinkerPop 3
Supported programming languages.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Groovy
Java
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nouser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyesnoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and (since PostgreSQL 11) by hashAutomatic shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication infoother methods possible by using 3rd party extensionsyesMaster-master replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency in HA-Clusternone
Foreign keys infoReferential integrityyesnoyes inforelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users and rolesno
More information provided by the system vendor
PostgreSQLRocksetStardogTinkerGraph
Specific characteristicsStardog is a knowledge graph platform backed by a performant, scalable graph database....
» more
Competitive advantagesStardog is uniquely designed to aid in data integration for your complex data. Benefits...
» more
Typical application scenariosStardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersBosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsStardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsA fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
PostgreSQLRocksetStardogTinkerGraph
DB-Engines blog posts

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Conferences and events

PostgreSQL Online Trainings
Online Training Courses, 4 May 2020 - 11 December 2020

PGCon 2020, PostgreSQL Conference for Users and Developers
Due to COVID-19, it will be an online conference, 26-29 May 2020

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