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DBMS > Google Cloud Firestore vs. H2 vs. Microsoft Azure SQL Database vs. Microsoft Azure Synapse Analytics vs. Percona Server for MySQL

System Properties Comparison Google Cloud Firestore vs. H2 vs. Microsoft Azure SQL Database vs. Microsoft Azure Synapse Analytics vs. Percona Server for MySQL

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonH2  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparison
DescriptionCloud 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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Database as a Service offering with high compatibility to Microsoft SQL ServerElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.03
Rank#122  Overall
#57  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.h2database.comazure.microsoft.com/­en-us/­products/­azure-sql/­databaseazure.microsoft.com/­services/­synapse-analyticswww.percona.com/­software/­mysql-database/­percona-server
Technical documentationfirebase.google.com/­docs/­firestorewww.h2database.com/­html/­main.htmldocs.microsoft.com/­en-us/­azure/­azure-sqldocs.microsoft.com/­azure/­synapse-analyticswww.percona.com/­downloads/­Percona-Server-LATEST
DeveloperGoogleThomas MuellerMicrosoftMicrosoftPercona
Initial release20172005201020162008
Current release2.2.220, July 2023V128.0.36-28, 2024
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialcommercialOpen Source infoGPL version 2
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C and C++
Server operating systemshostedAll OS with a Java VMhostedhostedLinux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesnoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesyesyesyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
PHP
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsJava Stored Procedures and User-Defined FunctionsTransact SQLTransact SQLyes
Triggersyes, with Cloud Functionsyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes, with always 3 replicas availableyesMulti-source replication
Source-replica replication
XtraDB Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess 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-standardfine grained access rights according to SQL-standardyesUsers with fine-grained authorization concept infono user groups or roles

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More resources
Google Cloud FirestoreH2Microsoft Azure SQL Database infoformerly SQL AzureMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePercona Server for MySQL
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