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DBMS > Google Cloud Spanner vs. Hyprcubd vs. Memcached vs. Microsoft SQL Server

System Properties Comparison Google Cloud Spanner vs. Hyprcubd vs. Memcached vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameGoogle Cloud Spanner  Xexclude from comparisonHyprcubd  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Serverless Time Series DBMSIn-memory key-value store, originally intended for cachingMicrosofts flagship relational DBMS
Primary database modelRelational DBMSTime Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Websitecloud.google.com/­spannerhyprcubd.com (offline)www.memcached.orgwww.microsoft.com/­en-us/­sql-server
Technical documentationcloud.google.com/­spanner/­docsgithub.com/­memcached/­memcached/­wikilearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperGoogleHyprcubd, Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoft
Initial release201720031989
Current release1.6.27, May 2024SQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD licensecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageGoCC++
Server operating systemshostedhostedFreeBSD
Linux
OS X
Unix
Windows
Linux
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringnoyes
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.nonoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLyes infoQuery statements complying to ANSI 2011SQL-like query languagenoyes
APIs and other access methodsgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
gRPC (https)Proprietary protocolADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnononoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.none infoRepcached, a Memcached patch, provides this functionallityyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoStrict serializable isolationnonoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)token accessyes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standard

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More resources
Google Cloud SpannerHyprcubdMemcachedMicrosoft SQL Server
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