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DBMS > Google Cloud Datastore vs. IBM Cloudant vs. Kinetica vs. searchxml vs. SiriDB

System Properties Comparison Google Cloud Datastore vs. IBM Cloudant vs. Kinetica vs. searchxml vs. SiriDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKinetica  Xexclude from comparisonsearchxml  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDatabase as a Service offering based on Apache CouchDBFully vectorized database across both GPUs and CPUsDBMS for structured and unstructured content wrapped with an application serverOpen Source Time Series DBMS
Primary database modelDocument storeDocument storeRelational DBMSNative XML DBMS
Search engine
Time Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score2.68
Rank#106  Overall
#20  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitecloud.google.com/­datastorewww.ibm.com/­products/­cloudantwww.kinetica.comwww.searchxml.net/­category/­productssiridb.com
Technical documentationcloud.google.com/­datastore/­docscloud.ibm.com/­docs/­Cloudantdocs.kinetica.comwww.searchxml.net/­support/­handoutsdocs.siridb.com
DeveloperGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Kineticainformationpartners gmbhCesbit
Initial release20082010201220152017
Current release7.1, August 20211.0
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoMIT License
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 languageErlangC, C++C++C
Server operating systemshostedhostedLinuxWindowsLinux
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes, details herenoyesyesyes infoNumeric data
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.nononoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)noSQL-like DML and DDL statementsnono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIsC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresusing Google App EngineView functions (Map-Reduce) in JavaScriptuser defined functionsyes infoon the application serverno
TriggersCallbacks using the Google Apps Engineyesyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication
Source-replica replication
Source-replica replicationyes infosychronisation to multiple collectionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesnonono
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.Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno infoatomic operations within a document possiblenomultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databaseAccess rights for users and roles on table levelDomain, group and role-based access control at the document level and for application servicessimple rights management via user accounts

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More resources
Google Cloud DatastoreIBM CloudantKineticasearchxmlSiriDB
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