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DBMS > Google Cloud Datastore vs. InterSystems IRIS vs. LokiJS vs. mSQL vs. StarRocks

System Properties Comparison Google Cloud Datastore vs. InterSystems IRIS vs. LokiJS vs. mSQL vs. StarRocks

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonLokiJS  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityIn-memory JavaScript DBMSmSQL (Mini SQL) is a simple and lightweight RDBMSAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelDocument storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitecloud.google.com/­datastorewww.intersystems.com/­products/­intersystems-irisgithub.com/­techfort/­LokiJShughestech.com.au/­products/­msqlwww.starrocks.io
Technical documentationcloud.google.com/­datastore/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clstechfort.github.io/­LokiJSdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperGoogleInterSystemsHughes TechnologiesThe Linux Foundation infosince Feb 2023
Initial release20082018201419942020
Current release2023.3, June 20234.4, October 20212.5.3, March 2023
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial infofree licenses can be providedOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptCC++, Java
Server operating systemshostedAIX
Linux
macOS
Ubuntu
Windows
server-less, requires a JavaScript environment (browser, Node.js)AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeschema-freedepending on used data modelschema-freeyesyes
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.noyesnonono
Secondary indexesyesyesyes infovia viewsyesyes
SQL infoSupport of SQLSQL-like query language (GQL)yesnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
JavaScript APIJDBC
ODBC
JDBC
MySQL protocol
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
JavaScriptC
C++
Delphi
Java
Perl
PHP
Tcl
Java
Server-side scripts infoStored proceduresusing Google App EngineyesView functions in JavaScriptnouser defined functions
TriggersCallbacks using the Google Apps Engineyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenonehorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownoyesnono
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 ConsistencynonenoneImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDno infoatomic operations within a single collection possiblenono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesnonoRole based access control and fine grained access rights
More information provided by the system vendor
Google Cloud DatastoreInterSystems IRISLokiJSmSQL infoMini SQLStarRocks
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Google Cloud DatastoreInterSystems IRISLokiJSmSQL infoMini SQLStarRocks
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