DBMS > Google Cloud Firestore vs. OushuDB vs. PostgreSQL vs. Spark SQL
System Properties Comparison Google Cloud Firestore vs. OushuDB vs. PostgreSQL vs. Spark SQL
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|Editorial information provided by DB-Engines|
|Name||Google Cloud Firestore Xexclude from comparison||OushuDB Xexclude from comparison||PostgreSQL Xexclude from comparison||Spark SQL Xexclude from comparison|
|Description||Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.||A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Spark SQL is a component on top of 'Spark Core' for structured data processing|
|Primary database model||Document store||Relational DBMS||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||Oushu||PostgreSQL Global Development Group www.postgresql.org/developer||Apache Software Foundation|
|Initial release||2017||1989 1989: Postgres, 1996: PostgreSQL||2014|
|Current release||4.0.1, August 2020||14.5, August 2022||3.3.0, June 2022|
|License Commercial or Open Source||commercial||commercial||Open Source BSD||Open Source Apache 2.0|
|Cloud-based only Only available as a cloud service||yes||no||no||no|
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|Server operating systems||hosted||Linux||FreeBSD|
|Typing predefined data types such as float or date||yes||yes||yes||yes|
|no||yes specific XML-type available, but no XML query functionality.||no|
|SQL Support of SQL||no||Full-featured ANSI SQL support||yes standard with numerous extensions||SQL-like DML and DDL statements|
|APIs and other access methods||Android|
gRPC (using protocol buffers) API
RESTful HTTP API
native C library
streaming API for large objects
|Supported programming languages||Go|
|Server-side scripts Stored procedures||yes, Firebase Rules & Cloud Functions||yes||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||no|
|Triggers||yes, with Cloud Functions||yes||yes||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||yes||partitioning by range, list and (since PostgreSQL 11) by hash||yes, utilizing Spark Core|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication||Source-replica replication other methods possible by using 3rd party extensions||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||Using Cloud Dataflow||Hadoop integration||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||yes||ACID||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes||yes|
|User concepts Access control||Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.||Kerberos, SSL and role based access||fine grained access rights according to SQL-standard||no|
More information provided by the system vendor
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|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.|
|Google Cloud Firestore||OushuDB||PostgreSQL||Spark SQL|
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