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DBMS > Google Cloud Datastore vs. Microsoft SQL Server vs. OpenEdge

System Properties Comparison Google Cloud Datastore vs. Microsoft SQL Server vs. OpenEdge

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformMicrosofts relational DBMSApplication development environment with integrated database management system
Primary database modelDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.21
Rank#61  Overall
#11  Document stores
Score1081.91
Rank#3  Overall
#3  Relational DBMS
Score3.80
Rank#74  Overall
#38  Relational DBMS
Websitecloud.google.com/­datastorewww.microsoft.com/­en-us/­sql-serverwww.progress.com/­openedge
Technical documentationcloud.google.com/­datastore/­docsdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperGoogleMicrosoftProgress Software Corporation
Initial release200819891984
Current releaseSQL Server 2019, November 2019OpenEdge 11.7, March 2017
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedLinux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyes
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)yesyes infoclose to SQL 92
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresusing Google App EngineTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javayes
TriggersCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-Master replication using Paxosyes, but depending on the SQL-Server EditionMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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-standardUsers and groups

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