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DBMS > Google Cloud Datastore vs. IBM Cloudant vs. Ingres vs. mSQL vs. OrigoDB

System Properties Comparison Google Cloud Datastore vs. IBM Cloudant vs. Ingres vs. mSQL vs. OrigoDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonIngres  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDatabase as a Service offering based on Apache CouchDBWell established RDBMSmSQL (Mini SQL) is a simple and lightweight RDBMSA fully ACID in-memory object graph database
Primary database modelDocument storeDocument storeRelational DBMSRelational DBMSDocument store
Object oriented 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
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitecloud.google.com/­datastorewww.ibm.com/­products/­cloudantwww.actian.com/­databases/­ingreshughestech.com.au/­products/­msqlorigodb.com
Technical documentationcloud.google.com/­datastore/­docscloud.ibm.com/­docs/­Cloudantdocs.actian.com/­ingresorigodb.com/­docs
DeveloperGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Actian CorporationHughes TechnologiesRobert Friberg et al
Initial release200820101974 infooriginally developed at University Berkely in early 1970s19942009 infounder the name LiveDB
Current release11.2, May 20224.4, October 2021
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree licenses can be providedOpen Source
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 languageErlangCCC#
Server operating systemshostedhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes, details herenoyesyesUser defined using .NET types and collections
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.nonono infobut tools for importing/exporting data from/to XML-files availablenono infocan be achieved using .NET
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)noyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP/JSON API.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Server-side scripts infoStored proceduresusing Google App EngineView functions (Map-Reduce) in JavaScriptyesnoyes
TriggersCallbacks using the Google Apps Engineyesyesnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replication
Source-replica replication
Ingres ReplicatornoneSource-replica replication
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 Consistencynone
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesnodepending on model
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 possibleACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyes infoMVCCnoyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonononoyes
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 databasefine grained access rights according to SQL-standardnoRole based authorization

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More resources
Google Cloud DatastoreIBM CloudantIngresmSQL infoMini SQLOrigoDB
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