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DBMS > Google Cloud Datastore vs. InterSystems Caché vs. Percona Server for MongoDB vs. SQL.JS

System Properties Comparison Google Cloud Datastore vs. InterSystems Caché vs. Percona Server for MongoDB vs. SQL.JS

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSQL.JS  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA multi-model DBMS and application serverA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Port of SQLite to JavaScript
Primary database modelDocument storeKey-value store
Object oriented DBMS
Relational DBMS
Document storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score0.60
Rank#246  Overall
#39  Document stores
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitecloud.google.com/­datastorewww.intersystems.com/­products/­cachewww.percona.com/­mongodb/­software/­percona-server-for-mongodbsql.js.org
Technical documentationcloud.google.com/­datastore/­docsdocs.intersystems.comdocs.percona.com/­percona-distribution-for-mongodbsql.js.org/­documentation/­index.html
DeveloperGoogleInterSystemsPerconaAlon Zakai infoenhancements implemented by others
Initial release2008199720152012
Current release2018.1.4, May 20203.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL Version 2Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScript
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freedepending on used data modelschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyes
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.noyesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)yesnoyes infoSQL-92 is not fully supported
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSONJavaScript API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
JavaScript
Server-side scripts infoStored proceduresusing Google App EngineyesJavaScriptno
TriggersCallbacks using the Google Apps Engineyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationSource-replica replicationnone
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.Immediate ConsistencyEventual Consistency
Immediate Consistency
none
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infovia In-Memory Engineyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and rolesAccess rights for users and rolesno

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More resources
Google Cloud DatastoreInterSystems CachéPercona Server for MongoDBSQL.JS
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