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DBMS > DataChemist vs. PostgreSQL

System Properties Comparison DataChemist vs. PostgreSQL

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Editorial information provided by DB-Engines
NameDataChemist  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsRDF storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#305  Overall
#31  Graph DBMS
Score481.33
Rank#4  Overall
#4  Relational DBMS
Websitewww.datachemist.comwww.postgresql.org
Technical documentationwww.datachemist.com/­images/­uploads/­general/­Evolving_MeaningfulValuefromEnterpriseData.pdfwww.postgresql.org/­docs/­manuals
DeveloperDataChemist Ltd.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20181989 info1989: Postgres, 1996: PostgreSQL
Current release1.0, 201811.5, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenono
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
  • ScaleGrid: Fully managed PostgreSQL hosting with high availability, dedicated servers, and superuser control on the #1 multi-cloud Amazon RDS alternative.
Implementation languagePrologC
Server operating systemsLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyes
SQL infoSupport of SQLSQL-like query language (WOQL)yes infostandard with numerous extensions
APIs and other access methodsOWL
RESTful HTTP API
WOQL (DataChemist Query Language)
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesJavaScript
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesGraph Partitioningpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesJournaling StreamsMaster-slave replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standard

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More resources
DataChemistPostgreSQL
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Conferences and events

PostgreSQL Conference, Asia 2019
Denpasar, Bali, Indonesia, 9-12 September 2019

PostgreSQL Conference, Europe 2019
Milan, Italy, 15-18 October 2019

Recent citations in the news

DataChemist wants to make sense of big-picture intelligence in the data analytics 'arms race'
7 March 2019, Fora.ie

Dublin start-up chosen to work on global peace initiative
7 January 2019, The Irish Times

'If data is the new oil, DataChemist is the refinery'
27 August 2018, RTÉ News

Tánaiste Simon Coveney Launches DataChemist, Trinity College Dublin Technology Spin-out
28 August 2018, Irish Tech News

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TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

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