DBMS > Alibaba Cloud MaxCompute vs. Kinetica vs. PostgreSQL vs. RDF4J
System Properties Comparison Alibaba Cloud MaxCompute vs. Kinetica vs. PostgreSQL vs. RDF4J
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|Editorial information provided by DB-Engines|
|Name||Alibaba Cloud MaxCompute Xexclude from comparison||Kinetica Xexclude from comparison||PostgreSQL Xexclude from comparison||RDF4J formerly known as Sesame Xexclude from comparison|
|Description||MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing||GPU-accelerated database for real-time analysis of large and streaming datasets||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.|
|Primary database model||Relational DBMS a graph-processing framework is available with the graphs being stored in tables||Relational DBMS||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||RDF store|
|Secondary database models||Document store|
|Developer||Alibaba||Kinetica||PostgreSQL Global Development Group www.postgresql.org/developer||Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.|
|Initial release||2016||2012||1989 1989: Postgres, 1996: PostgreSQL||2004|
|Current release||6.0||12.0, October 2019|
|License Commercial or Open Source||commercial||commercial||Open Source BSD||Open Source Eclipse Distribution License (EDL), v1.0.|
|Cloud-based only Only available as a cloud service||yes||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C, C++||C||Java|
|Server operating systems||hosted||Linux||FreeBSD|
|Data scheme||yes||yes||yes||yes RDF Schemas|
|Typing predefined data types such as float or date||yes||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no||yes specific XML-type available, but no XML query functionality.|
|SQL Support of SQL||SQL-like query language||SQL-like DML and DDL statements||yes standard with numerous extensions||no|
|APIs and other access methods||Fluentd|
|RESTful HTTP API|
|native C library|
streaming API for large objects
RIO RDF Input/Output
SeRQL Sesame RDF Query Language
Sesame REST HTTP Protocol
|Supported programming languages||Java||C++|
|Server-side scripts Stored procedures||user defined functions in Java||user defined functions||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||yes|
|Triggers||no||yes triggers when inserted values for one or more columns fall within a specified range||yes||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding Implicit feature of the cloud service||Sharding||partitioning by range, list and (since PostgreSQL 11) by hash||none|
|Replication methods Methods for redundantly storing data on multiple nodes||yes Implicit feature of the cloud service||Master-slave replication||Master-slave replication other methods possible by using 3rd party extensions||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency or Eventual Consistency depending on configuration||Immediate Consistency|
|Foreign keys Referential integrity||no||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||no||ACID||ACID Isolation support depends on the API used|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes||yes in-memory storage is supported as well|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes GPU vRAM or System RAM||no|
|User concepts Access control||Access rights for users and roles||Access rights for users and roles on table level||fine grained access rights according to SQL-standard||no|
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|Related products and services|
|3rd parties||Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service|
pgDash: In-Depth PostgreSQL Monitoring.
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DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
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2ndQuadrant: PostgreSQL Solutions for the Enterprise.
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|Alibaba Cloud MaxCompute||Kinetica||PostgreSQL||RDF4J formerly known as Sesame|
|DB-Engines blog posts|
PostgreSQL is the DBMS of the Year 2018
|Conferences and events|
PostgreSQL Conference, Europe 2019
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