DBMS > Geode vs. PostgreSQL vs. Teradata Aster
System Properties Comparison Geode vs. PostgreSQL vs. Teradata Aster
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|Editorial information provided by DB-Engines|
|Name||Geode Xexclude from comparison||PostgreSQL Xexclude from comparison||Teradata Aster Xexclude from comparison|
|Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.|
|Description||Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Platform for big data analytics on multistructured data sources and types|
|Primary database model||Key-value store||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Relational DBMS|
|Secondary database models||Document store|
|Developer||Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.||PostgreSQL Global Development Group www.postgresql.org/developer||Teradata|
|Initial release||2002||1989 1989: Postgres, 1996: PostgreSQL||2005|
|Current release||1.1, February 2017||12.1, November 2019|
|License Commercial or Open Source||Open Source Apache Version 2; commercial licenses available as Gemfire||Open Source BSD||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
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|Server operating systems||All OS with a Java VM the JDK (8 or later) is also required||FreeBSD|
|Data scheme||schema-free||yes||Flexible Schema (defined schema, partial schema, schema free) defined schema within the relational store; partial schema or schema free in the Aster File Store|
|Typing predefined data types such as float or date||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||yes specific XML-type available, but no XML query functionality.||yes in Aster File Store|
|SQL Support of SQL||SQL-like query language (OQL)||yes standard with numerous extensions||yes|
|APIs and other access methods||Java Client API|
RESTful HTTP API
native C library
streaming API for large objects
|Supported programming languages||.Net|
All JVM based languages
|Server-side scripts Stored procedures||user defined functions||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||R packages|
|Triggers||yes Cache Event Listeners||yes||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Master-master replication||Master-slave replication other methods possible by using 3rd party extensions||yes Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||yes SQL Map-Reduce Framework|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency||Immediate Consistency||Immediate Consistency or Eventual Consistency depending on configuration|
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||yes, on a single node||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no||no|
|User concepts Access control||Access rights per client and object definable||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard|
More information provided by the system vendor
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|Related products and services|
|3rd parties||2ndQuadrant: PostgreSQL Solutions for the Enterprise.|
pgDash: In-Depth PostgreSQL Monitoring.
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Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
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Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
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DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts|
PostgreSQL is the DBMS of the Year 2018
|Conferences and events|
PGCon 2020, PostgreSQL Conference for Users and Developers
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