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DBMS > Google Cloud Datastore vs. Microsoft Azure SQL Database vs. NSDb vs. OrigoDB vs. SiteWhere

System Properties Comparison Google Cloud Datastore vs. Microsoft Azure SQL Database vs. NSDb vs. OrigoDB vs. SiteWhere

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNSDb  Xexclude from comparisonOrigoDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fully ACID in-memory object graph databaseM2M integration platform for persisting/querying time series data
Primary database modelDocument storeRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
Time Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitecloud.google.com/­datastoreazure.microsoft.com/­en-us/­products/­azure-sql/­databasensdb.ioorigodb.comgithub.com/­sitewhere/­sitewhere
Technical documentationcloud.google.com/­datastore/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlnsdb.io/­Architectureorigodb.com/­docssitewhere1.sitewhere.io/­index.html
DeveloperGoogleMicrosoftRobert Friberg et alSiteWhere
Initial release2008201020172009 infounder the name LiveDB2010
Current releaseV12
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open SourceOpen Source infoCommon Public Attribution License Version 1.0
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 languageC++Java, ScalaC#Java
Server operating systemshostedhostedLinux
macOS
Linux
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyespredefined scheme
Typing infopredefined data types such as float or dateyes, details hereyesyes: int, bigint, decimal, stringUser defined using .NET types and collectionsyes
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.noyesnono infocan be achieved using .NETno
Secondary indexesyesyesall fields are automatically indexedyesno
SQL infoSupport of SQLSQL-like query language (GQL)yesSQL-like query languagenono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
.NET Client API
HTTP API
LINQ
HTTP REST
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Scala
.Net
Server-side scripts infoStored proceduresusing Google App EngineTransact SQLnoyes
TriggersCallbacks using the Google Apps Engineyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes, with always 3 replicas availableSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesnodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardRole based authorizationUsers with fine-grained authorization concept

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More resources
Google Cloud DatastoreMicrosoft Azure SQL Database infoformerly SQL AzureNSDbOrigoDBSiteWhere
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