DBMS > H2GIS vs. PostgreSQL vs. Realm
System Properties Comparison H2GIS vs. PostgreSQL vs. Realm
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|Editorial information provided by DB-Engines|
|Name||H2GIS Xexclude from comparison||PostgreSQL Xexclude from comparison||Realm Xexclude from comparison|
|Description||Spatial extension of H2||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data|
|Primary database model||Spatial DBMS||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Document store|
|Secondary database models||Relational DBMS||Document store|
|Developer||CNRS||PostgreSQL Global Development Group www.postgresql.org/developer||Realm, acquired by MongoDB in May 2019|
|Initial release||2013||1989 1989: Postgres, 1996: PostgreSQL||2014|
|Current release||14.1, November 2021|
|License Commercial or Open Source||Open Source LGPL 3.0||Open Source BSD||Open Source|
|Cloud-based only Only available as a cloud service||no||no||no|
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|Server operating systems||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.||no||yes specific XML-type available, but no XML query functionality.||no|
|SQL Support of SQL||yes||yes standard with numerous extensions||no|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
|Supported programming languages||Java||.Net|
Java with Android only
|Server-side scripts Stored procedures||yes based on H2||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||no runs within the applications so server-side scripts are unnecessary|
|Triggers||yes||yes||yes Change Listeners|
|Partitioning methods Methods for storing different data on different nodes||none||partitioning by range, list and (since PostgreSQL 11) by hash||none|
|Replication methods Methods for redundantly storing data on multiple nodes||yes based on H2||Source-replica replication other methods possible by using 3rd party extensions||none|
|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||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes, multi-version concurrency control (MVCC)||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||yes In-Memory realm|
|User concepts Access control||yes based on H2||fine grained access rights according to SQL-standard||yes|
|More information provided by the system vendor|
|Specific characteristics||Now a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...|
|Competitive advantages||Realm ensures offline-first functionality, meaning apps run smoothly and deliver...|
|Typical application scenarios||Mobile Consumer Apps First-Line Worker Apps|
|Key customers||Cathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...|
|Market metrics||Used by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...|
|Licensing and pricing models||Realm database is licensed under the Apache License v2.0.|
We invite representatives of system vendors to contact us for updating and extending the system information,
|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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|DB-Engines blog posts|
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