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DBMS > Google Cloud Firestore vs. Hypertable vs. Microsoft Azure SQL Database

System Properties Comparison Google Cloud Firestore vs. Hypertable vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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.An open source BigTable implementation based on distributed file systems such as HadoopDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelDocument storeWide column storeRelational DBMS
Secondary database modelsDocument 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
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitefirebase.google.com/­products/­firestoreazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationfirebase.google.com/­docs/­firestoredocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperGoogleHypertable Inc.Microsoft
Initial release201720092010
Current release0.9.8.11, March 2016V12
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedLinux
OS X
Windows infoan inofficial Windows port is available
hosted
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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.noyes
Secondary indexesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsnoTransact SQL
Triggersyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor on file system levelyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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.nofine grained access rights according to SQL-standard

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More resources
Google Cloud FirestoreHypertableMicrosoft Azure SQL Database infoformerly SQL Azure
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