DBMS > FatDB vs. PostgreSQL vs. searchxml
System Properties Comparison FatDB vs. PostgreSQL vs. searchxml
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|Editorial information provided by DB-Engines|
|Name||FatDB Xexclude from comparison||PostgreSQL Xexclude from comparison||searchxml Xexclude from comparison|
|FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.|
|Description||A .NET NoSQL DBMS that can integrate with and extend SQL Server.||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||DBMS for structured and unstructured content wrapped with an application server|
|Primary database model||Document store|
|Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Native XML DBMS|
|Secondary database models||Document store|
|Developer||FatCloud||PostgreSQL Global Development Group www.postgresql.org/developer||informationpartners gmbh|
|Initial release||2012||1989 1989: Postgres, 1996: PostgreSQL||2015|
|Current release||13.2 , February 2021||1.0|
|License Commercial or Open Source||commercial||Open Source BSD||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
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|Server operating systems||Windows||FreeBSD|
|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.||yes specific XML-type available, but no XML query functionality.||yes|
|SQL Support of SQL||no Via inetgration in SQL Server||yes standard with numerous extensions||no|
|APIs and other access methods||.NET Client API|
RESTful HTTP API
Windows WCF Bindings
native C library
streaming API for large objects
|RESTful HTTP API|
|Supported programming languages||C#||.Net|
|C++ most other programming languages supported via APIs|
|Server-side scripts Stored procedures||yes via applications||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||yes on the application server|
|Triggers||yes via applications||yes||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||partitioning by range, list and (since PostgreSQL 11) by hash||none|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor||Source-replica replication other methods possible by using 3rd party extensions||yes sychronisation to multiple collections|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
|Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID||multiple readers, single writer|
|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.||no||no|
|User concepts Access control||no Can implement custom security layer via applications||fine grained access rights according to SQL-standard||Domain, group and role-based access control at the document level and for application services|
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