DBMS > Firebase Realtime Database vs. IRONdb vs. Microsoft SQL Server
System Properties Comparison Firebase Realtime Database vs. IRONdb vs. Microsoft SQL Server
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|Editorial information provided by DB-Engines|
|Name||Firebase Realtime Database Xexclude from comparison||IRONdb Xexclude from comparison||Microsoft SQL Server Xexclude from comparison|
|Primary database model||Document store||Time Series DBMS||Relational DBMS|
|Secondary database models||Document store|
|Developer||Google acquired by Google 2014||Circonus LLC.||Microsoft|
|Current release||V0.10.20, January 2018||SQL Server 2019, November 2019|
|License Commercial or Open Source||commercial||commercial||commercial restricted free version is available|
|Cloud-based only Only available as a cloud service||yes||no||no|
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|Implementation language||C and C++||C++|
|Server operating systems||hosted||Linux||Linux|
|Typing predefined data types such as float or date||yes||yes text, numeric, histograms||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||no||yes|
|SQL Support of SQL||no||SQL-like query language (Circonus Analytics Query Language: CAQL)||yes|
|APIs and other access methods||Android|
RESTful HTTP API
Tabular Data Stream (TDS)
|Supported programming languages||Java|
|Server-side scripts Stored procedures||limited functionality with using 'rules'||yes, in Lua||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java|
|Triggers||Callbacks are triggered when data changes||no||yes|
|Partitioning methods Methods for storing different data on different nodes||Automatic, metric affinity per node||tables can be distributed across several files (horizontal partitioning); sharding through federation|
|Replication methods Methods for redundantly storing data on multiple nodes||configurable replication factor, datacenter aware||yes, but depending on the SQL-Server Edition|
|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 per node, eventual consistency across nodes||Immediate Consistency|
|Foreign keys Referential integrity||no||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||yes||no||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||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.||no||yes|
|User concepts Access control||yes, based on authentication and database rules||no||fine grained access rights according to SQL-standard|
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|Firebase Realtime Database||IRONdb||Microsoft SQL Server|
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