DBMS > Firebase Realtime Database vs. MySQL vs. SAP SQL Anywhere
System Properties Comparison Firebase Realtime Database vs. MySQL vs. SAP SQL Anywhere
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|Editorial information provided by DB-Engines|
|Name||Firebase Realtime Database Xexclude from comparison||MySQL Xexclude from comparison||SAP SQL Anywhere formerly called Adaptive Server Anywhere Xexclude from comparison|
|Primary database model||Document store||Relational DBMS Key/Value like access via memcached API||Relational DBMS|
|Secondary database models||Document store|
|Developer||Google acquired by Google 2014||Oracle since 2010, originally MySQL AB, then Sun||SAP formerly Sybase|
|Current release||8.0.17, July 2019||17, July 2015|
|License Commercial or Open Source||commercial||Open Source GPL version 2. Commercial licenses with extended functionallity are available||commercial|
|Cloud-based only Only available as a cloud service||yes||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C and C++|
|Server operating systems||hosted||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||yes|
|SQL Support of SQL||no||yes with proprietary extensions||yes|
|APIs and other access methods||Android|
RESTful HTTP API
|Proprietary native API|
|Supported programming languages||Java|
|Server-side scripts Stored procedures||limited functionality with using 'rules'||yes proprietary syntax||yes, in C/C++, Java, .Net or Perl|
|Triggers||Callbacks are triggered when data changes||yes||yes|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric||none|
|Replication methods Methods for redundantly storing data on multiple nodes||Master-master replication|
|Master-slave replication Database mirroring|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency if the client is offline|
Immediate Consistency if the client is online
|Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes not for MyISAM storage engine||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||yes||ACID not for MyISAM storage engine||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes table locks or row locks depending on storage engine||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||yes|
|User concepts Access control||yes, based on authentication and database rules||Users with fine-grained authorization concept no user groups or roles||fine grained access rights according to SQL-standard|
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|3rd parties||CData: Connect to Big Data & NoSQL through standard Drivers.|
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|Firebase Realtime Database||MySQL||SAP SQL Anywhere formerly called Adaptive Server Anywhere|
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