DBMS > Google Cloud Firestore vs. PostgreSQL vs. Snowflake vs. TerarkDB
System Properties Comparison Google Cloud Firestore vs. PostgreSQL vs. Snowflake vs. TerarkDB
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|Editorial information provided by DB-Engines|
|Name||Google Cloud Firestore Xexclude from comparison||PostgreSQL Xexclude from comparison||Snowflake Xexclude from comparison||TerarkDB 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.||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||Cloud-based data warehousing service for structured and semi-structured data||A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB|
|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.||Relational DBMS||Key-value store|
|Secondary database models||Document store|
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||Snowflake Computing Inc.||Terark|
|Initial release||2017||1989 1989: Postgres, 1996: PostgreSQL||2014||2016|
|Current release||13.2 , February 2021|
|License Commercial or Open Source||commercial||Open Source BSD||commercial||commercial restricted open source version available|
|Cloud-based only Only available as a cloud service||yes||no||yes||no|
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|Server operating systems||hosted||FreeBSD|
|Data scheme||schema-free||yes||yes support of semi-structured data formats (JSON, XML, Avro)||schema-free|
|Typing predefined data types such as float or date||yes||yes||yes||no|
|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||no|
|SQL Support of SQL||no||yes standard with numerous extensions||yes||no|
|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||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||user defined functions||no|
|Triggers||yes, with Cloud Functions||yes||no similar concept for controling cloud resources||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||partitioning by range, list and (since PostgreSQL 11) by hash||yes||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication||Source-replica replication other methods possible by using 3rd party extensions||yes||none|
|MapReduce Offers an API for user-defined Map/Reduce methods||Using Cloud Dataflow||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes||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|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no||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.||fine grained access rights according to SQL-standard||Users with fine-grained authorization concept, user roles and pluggable authentication||no|
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|Google Cloud Firestore||PostgreSQL||Snowflake||TerarkDB|
|DB-Engines blog posts|
PostgreSQL is the DBMS of the Year 2020
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