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DBMS > CrateDB vs. PostgreSQL vs. RDF4J

System Properties Comparison CrateDB vs. PostgreSQL vs. RDF4J

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMS
Search engine
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.RDF store
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#174  Overall
#86  Relational DBMS
#11  Search engines
Score478.89
Rank#4  Overall
#4  Relational DBMS
Score0.37
Rank#222  Overall
#11  RDF stores
Websitecrate.iowww.postgresql.orgrdf4j.org
Technical documentationcrate.io/­docswww.postgresql.org/­docs/­manualsdocs.rdf4j.org
DeveloperCratePostgreSQL Global Development Group infowww.postgresql.org/­developerSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20131989 info1989: Postgres, 1996: PostgreSQL2004
Current release11.3, May 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
Implementation languageJavaCJava
Server operating systemsAll OS with a Java 7 VMFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X
Unix
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraintsyes infostandard with numerous extensionsno
APIs and other access methodsMQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET infocommunity maintained client
JDBC
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMaster-slave replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.nono
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardno
More information provided by the system vendor
CrateDBPostgreSQLRDF4J infoformerly known as Sesame
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more

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More resources
CrateDBPostgreSQLRDF4J infoformerly known as Sesame
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

show all

Conferences and events

PGCon 2019, PostgreSQL Conference for Users and Developers
Ottawa, Canada, 28-31 May 2019

Finished events

Achieving High Availability with PostgreSQL
Webinar, 4PM UTC, 26 February 2019 (finished)

Recent citations in the news

Gantner Instruments Environment Solutions Successfully Finished the 2019 Intersolar Munich
19 May 2019, Benzinga

Crate.io Introduces IoT Data Platform for Discrete Manufacturing
6 March 2019, GlobeNewswire

Crate.io Accelerates Industry 4.0 and Manufacturing IIoT Initiatives on Azure with Microsoft Co-Sell Ready Status
13 December 2018, GlobeNewswire

Crate.io Releases Commercial Machine Data Platform
20 June 2018, LinuxInsider.com

Crate.io Brings Power of Industrial SQL Time Series to Azure IoT Hub to Reduce IoT Systems Cost and Complexity
24 September 2018, Business Wire

provided by Google News

Crunchy Data Announces Red Hat OpenShift Operator Certification Of Crunchy PostgreSQL For Kubernetes 4.0
8 May 2019, PRNewswire

Oracle SQL: postGreSQL GENERATE_SERIES
17 May 2019, Toolbox

Global Data Base Management Systems Market 2019 Analysis – Microsoft, Software, IBM, Oracle, PostgreSQL, NCR
21 May 2019, Canyon Tribune

Should I Support Postgres In-House?
23 April 2019, Computer Business Review

Innovative Report on Relational Databases Software Market with Major Key Players like Microsoft, MySQL, Oracle, SAP, PostgreSQL, Amazon, IBM, MariaDB
21 May 2019, The Market Research News

provided by Google News

Amazon Neptune review: A scalable graph database for OLTP
13 May 2019, InfoWorld

Ontotext's GraphDB 8.9 Boosts Semantic Similarity Search
10 April 2019, PRNewswire

provided by Google News

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