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DBMS > Google Cloud Firestore vs. Microsoft Azure Table Storage vs. mSQL vs. Teradata Aster vs. Warp 10

System Properties Comparison Google Cloud Firestore vs. Microsoft Azure Table Storage vs. mSQL vs. Teradata Aster vs. Warp 10

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonTeradata Aster  Xexclude from comparisonWarp 10  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be 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.A Wide Column Store for rapid development using massive semi-structured datasetsmSQL (Mini SQL) is a simple and lightweight RDBMSPlatform for big data analytics on multistructured data sources and typesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeWide column storeRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitefirebase.google.com/­products/­firestoreazure.microsoft.com/­en-us/­services/­storage/­tableshughestech.com.au/­products/­msqlwww.warp10.io
Technical documentationfirebase.google.com/­docs/­firestorewww.warp10.io/­content/­02_Getting_started
DeveloperGoogleMicrosoftHughes TechnologiesTeradataSenX
Initial release20172012199420052015
Current release4.4, October 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree licenses can be providedcommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemshostedhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
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.nononoyes infoin Aster File Storeno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLnonoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
HTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsnonoR packagesyes infoWarpScript
Triggersyes, with Cloud Functionsnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenoneShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesoptimistic lockingnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
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.nononoyes
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.Access rights based on private key authentication or shared access signaturesnofine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Google Cloud FirestoreMicrosoft Azure Table StoragemSQL infoMini SQLTeradata AsterWarp 10
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