DBMS > Amazon Neptune vs. Cubrid vs. PostgreSQL
System Properties Comparison Amazon Neptune vs. Cubrid vs. PostgreSQL
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|Editorial information provided by DB-Engines|
|Name||Amazon Neptune Xexclude from comparison||Cubrid Xexclude from comparison||PostgreSQL Xexclude from comparison|
|Description||Fast, reliable graph database built for the cloud||CUBRID is an open-source SQL-based relational database management system with object extensions for OLTP||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL|
|Primary database model||Graph DBMS|
|Relational DBMS||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.|
|Secondary database models||Document store|
|Developer||Amazon||CUBRID Corporation, CUBRID Foundation||PostgreSQL Global Development Group www.postgresql.org/developer|
|Initial release||2017||2008||1989 1989: Postgres, 1996: PostgreSQL|
|Current release||11.0, January 2021||14.3, May 2022|
|License Commercial or Open Source||commercial||Open Source Apache Version 2.0||Open Source BSD|
|Cloud-based only Only available as a cloud service||yes||no||no|
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|Implementation language||C, C++, Java||C|
|Server operating systems||hosted||Linux|
|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||no||yes specific XML-type available, but no XML query functionality.|
|SQL Support of SQL||no||yes||yes standard with numerous extensions|
|APIs and other access methods||RDF 1.1 / SPARQL 1.1|
TinkerPop Gremlin 3.3
native C library
streaming API for large objects
|Supported programming languages||C#|
|Server-side scripts Stored procedures||no||Java Stored Procedures||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.|
|Partitioning methods Methods for storing different data on different nodes||none||none||partitioning by range, list and (since PostgreSQL 11) by hash|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-availability zones high availability, asynchronous replication for up to 15 read replicas||Source-replica replication||Source-replica replication other methods possible by using 3rd party extensions|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes Relationships in graphs||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes with encyption-at-rest||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no|
|User concepts Access control||Access rights for users and roles can be defined via the AWS Identity and Access Management (IAM)||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard|
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|Related products and services|
|3rd parties||SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.|
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