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DBMS > Google Cloud Datastore vs. Kinetica vs. Memcached vs. Microsoft Azure SQL Database vs. searchxml

System Properties Comparison Google Cloud Datastore vs. Kinetica vs. Memcached vs. Microsoft Azure SQL Database vs. searchxml

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonKinetica  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformFully vectorized database across both GPUs and CPUsIn-memory key-value store, originally intended for cachingDatabase as a Service offering with high compatibility to Microsoft SQL ServerDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument storeRelational DBMSKey-value storeRelational DBMSNative XML DBMS
Search engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.49
Rank#79  Overall
#12  Document stores
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score20.74
Rank#32  Overall
#4  Key-value stores
Score78.40
Rank#15  Overall
#10  Relational DBMS
Score0.01
Rank#386  Overall
#7  Native XML DBMS
#24  Search engines
Websitecloud.google.com/­datastorewww.kinetica.comwww.memcached.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.searchxml.net/­category/­products
Technical documentationcloud.google.com/­datastore/­docsdocs.kinetica.comgithub.com/­memcached/­memcached/­wikidocs.microsoft.com/­en-us/­azure/­azure-sqlwww.searchxml.net/­support/­handouts
DeveloperGoogleKineticaDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftinformationpartners gmbh
Initial release20082012200320102015
Current release7.1, August 20211.6.25, March 2024V121.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD licensecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++CC++C++
Server operating systemshostedLinuxFreeBSD
Linux
OS X
Unix
Windows
hostedWindows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes, details hereyesnoyesyes
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.nonoyesyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like DML and DDL statementsnoyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Proprietary protocolADO.NET
JDBC
ODBC
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresusing Google App Engineuser defined functionsnoTransact SQLyes infoon the application server
TriggersCallbacks using the Google Apps Engineyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationnone infoRepcached, a Memcached patch, provides this functionallityyes, with always 3 replicas availableyes infosychronisation to multiple collections
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 Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
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 TransactionsnonoACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles on table levelyes infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application services

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More resources
Google Cloud DatastoreKineticaMemcachedMicrosoft Azure SQL Database infoformerly SQL Azuresearchxml
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