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DBMS > Google Cloud Datastore vs. gStore vs. IBM Cloudant vs. Kinetica

System Properties Comparison Google Cloud Datastore vs. gStore vs. IBM Cloudant vs. Kinetica

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisongStore  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA native Graph DBMS to store and maintain very large RDF datasets.Database as a Service offering based on Apache CouchDBFully vectorized database across both GPUs and CPUs
Primary database modelDocument storeGraph DBMS
RDF store
Document storeRelational 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
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score2.68
Rank#106  Overall
#20  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitecloud.google.com/­datastoreen.gstore.cnwww.ibm.com/­products/­cloudantwww.kinetica.com
Technical documentationcloud.google.com/­datastore/­docsen.gstore.cn/­#/­enDocscloud.ibm.com/­docs/­Cloudantdocs.kinetica.com
DeveloperGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Kinetica
Initial release2008201620102012
Current release1.2, November 20237.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangC, C++
Server operating systemshostedLinuxhostedLinux
Data schemeschema-freeschema-free and OWL/RDFS-schema supportschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereyesnoyes
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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)nonoSQL-like DML and DDL statements
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API
SPARQL 1.1
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
PHP
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresusing Google App EngineyesView functions (Map-Reduce) in JavaScriptuser defined functions
TriggersCallbacks using the Google Apps Engineyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyesno
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 configuration
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsyesno infoatomic operations within a document possibleno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissions, Role-Based Access Control (RBAC) supportedAccess rights for users can be defined per databaseAccess rights for users and roles on table level

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More resources
Google Cloud DatastoregStoreIBM CloudantKinetica
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