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DBMS > Google Cloud Datastore vs. Microsoft SQL Server vs. Sphinx vs. SQL.JS vs. STSdb

System Properties Comparison Google Cloud Datastore vs. Microsoft SQL Server vs. Sphinx vs. SQL.JS vs. STSdb

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSphinx  Xexclude from comparisonSQL.JS  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformMicrosofts flagship relational DBMSOpen source search engine for searching in data from different sources, e.g. relational databasesPort of SQLite to JavaScriptKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument storeRelational DBMSSearch engineRelational DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.63
Rank#241  Overall
#112  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitecloud.google.com/­datastorewww.microsoft.com/­en-us/­sql-serversphinxsearch.comsql.js.orggithub.com/­STSSoft/­STSdb4
Technical documentationcloud.google.com/­datastore/­docslearn.microsoft.com/­en-US/­sql/­sql-serversphinxsearch.com/­docssql.js.org/­documentation/­index.html
DeveloperGoogleMicrosoftSphinx Technologies Inc.Alon Zakai infoenhancements implemented by othersSTS Soft SC
Initial release20081989200120122011
Current releaseSQL Server 2022, November 20223.5.1, February 20234.0.8, September 2015
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoGPL version 2, commercial licence availableOpen SourceOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++JavaScriptC#
Server operating systemshostedLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes, details hereyesnoyesyes infoprimitive types and user defined types (classes)
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 infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query language (GQL)yesSQL-like query language (SphinxQL)yes infoSQL-92 is not fully supportedno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Proprietary protocolJavaScript API.NET Client API
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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScriptC#
Java
Server-side scripts infoStored proceduresusing Google App EngineTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanonono
TriggersCallbacks using the Google Apps Engineyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoPartitioning is done manually, search queries against distributed index is supportednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes, but depending on the SQL-Server Editionnonenonenone
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 Consistencynone
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesnoyesno
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 datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.no infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
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-standardnonono

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More resources
Google Cloud DatastoreMicrosoft SQL ServerSphinxSQL.JSSTSdb
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