DBMS > Google Cloud Firestore vs. MariaDB vs. MySQL vs. PostgreSQL vs. TDengine
System Properties Comparison Google Cloud Firestore vs. MariaDB vs. MySQL vs. PostgreSQL vs. TDengine
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Name | Google Cloud Firestore Xexclude from comparison | MariaDB Xexclude from comparison | MySQL Xexclude from comparison | PostgreSQL Xexclude from comparison | TDengine 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. | MySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL. | Widely used open source RDBMS | Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL | Time Series DBMS and big data platform | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Document store | Relational DBMS | Relational DBMS Key/Value like access via memcached API | Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module. | Time Series DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Document store Graph DBMS with OQGraph storage engine Spatial DBMS | Document store Spatial DBMS | Document store Graph DBMS with Apache Age Spatial DBMS Vector DBMS with pgvector extension | Relational DBMS | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | firebase.google.com/products/firestore | mariadb.com Site of MariaDB Corporation mariadb.org Site of MariaDB Foundation | www.mysql.com | www.postgresql.org | github.com/taosdata/TDengine tdengine.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | firebase.google.com/docs/firestore | mariadb.com/kb/en/library | dev.mysql.com/doc | www.postgresql.org/docs | docs.tdengine.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | MariaDB Corporation Ab (MariaDB Enterprise), MariaDB Foundation (community MariaDB Server) The lead developer Monty Widenius is the original author of MySQL | Oracle since 2010, originally MySQL AB, then Sun | PostgreSQL Global Development Group www.postgresql.org/developer | TDEngine, previously Taos Data | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2017 | 2009 Fork of MySQL, which was first released in 1995 | 1995 | 1989 1989: Postgres, 1996: PostgreSQL | 2019 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 11.3.2, February 2024 | 8.4.0, April 2024 | 16.3, May 2024 | 3.0, August 2022 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | commercial | Open Source GPL version 2, commercial enterprise subscription available | Open Source GPL version 2. Commercial licenses with extended functionallity are available | Open Source BSD | Open Source AGPL V3, also commercial editions available | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | yes | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | STACKIT MariaDB offers MariaDB in a fully managed version in enterprise grade, 100% GDPR-compliant. | Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup. |
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Implementation language | C and C++ | C and C++ | C | C | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | hosted | FreeBSD Linux Solaris Windows ColumnStore storage engine not available on Windows | FreeBSD Linux OS X Solaris Windows | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | Linux Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | schema-free | yes Dynamic columns are supported | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | yes | 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 | yes | yes specific XML-type available, but no XML query functionality. | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes | yes | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | no | yes with proprietary extensions | yes with proprietary extensions | yes standard with numerous extensions | Standard SQL with extensions for time-series applications | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | Android gRPC (using protocol buffers) API iOS JavaScript API RESTful HTTP API | ADO.NET JDBC ODBC Proprietary native API | ADO.NET JDBC ODBC Proprietary native API | ADO.NET JDBC native C library ODBC streaming API for large objects | JDBC RESTful HTTP API | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | Go Java JavaScript JavaScript (Node.js) Objective-C Python | Ada C C# C++ D Eiffel Erlang Go Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl | Ada C C# C++ D Delphi Eiffel Erlang Haskell Java JavaScript (Node.js) Objective-C OCaml Perl PHP Python Ruby Scheme Tcl | .Net C C++ Delphi Java JDBC JavaScript (Node.js) Perl PHP Python Tcl | C C# C++ Go Java JavaScript (Node.js) PHP Python Rust | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | yes, Firebase Rules & Cloud Functions | yes PL/SQL compatibility added with version 10.3 | yes proprietary syntax | 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 | yes | yes, via alarm monitoring | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Sharding | several options for horizontal partitioning and Sharding | horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric | partitioning by range, list and (since PostgreSQL 11) by hash | Sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Multi-source replication | Multi-source replication Source-replica replication | Multi-source replication Source-replica replication | Source-replica replication other methods possible by using 3rd party extensions | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | Immediate Consistency | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | yes not for MyISAM storage engine | yes not for MyISAM storage engine | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | yes | ACID not for MyISAM storage engine | ACID not for MyISAM storage engine | ACID | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes table locks or row locks depending on storage engine | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes not for in-memory storage engine | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes with MEMORY storage engine | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 no user groups or roles | fine grained access rights according to SQL-standard | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
More information provided by the system vendor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Google Cloud Firestore | MariaDB | MySQL | PostgreSQL | TDengine | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Specific characteristics | MariaDB is the most powerful open source relational database – modern SQL and JSON... » more | TDengine™ is a next generation data historian purpose-built for Industry 4.0 and... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competitive advantages | MariaDB Servers have many features unavailable in other open source relational databases.... » more | High Performance at any Scale: TDengine is purpose-built for handling massive industrial... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typical application scenarios | Web, SaaS and Cloud operational applications that require high availability, scalability... » more | TDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Key customers | Deutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Market metrics | MariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,... » more | TDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Licensing and pricing models | MariaDB plc subscriptions cover our free, open source database, Community Server,... » more | TDengine OSS is an open source, cloud native time series database. It includes built-in... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
News | Seamless Data Integration from MQTT and InfluxDB to TDengine Solving Long Query Performance Bottlenecks What Is Predictive Maintenance? Can Typical Time-Series Databases Replace Data Historians? TDengine 3.3.0.0 Release Notes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Google Cloud Firestore | MariaDB | MySQL | PostgreSQL | TDengine | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | Cloud-based DBMS's popularity grows at high rates | MariaDB strengthens its position in the open source RDBMS market PostgreSQL is the DBMS of the Year 2017 Big gains for Relational Database Management Systems in DB-Engines Ranking | MySQL is the DBMS of the Year 2019 MariaDB strengthens its position in the open source RDBMS market The struggle for the hegemony in Oracle's database empire | PostgreSQL is the DBMS of the Year 2023 Snowflake is the DBMS of the Year 2022, defending the title from last year Snowflake is the DBMS of the Year 2021 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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