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DBMS > Google Cloud Datastore vs. GridGain vs. LokiJS vs. Microsoft Access

System Properties Comparison Google Cloud Datastore vs. GridGain vs. LokiJS vs. Microsoft Access

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonGridGain  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformGridGain is an in-memory computing platform, built on Apache IgniteIn-memory JavaScript DBMSMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelDocument storeKey-value store
Relational DBMS
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.49
Rank#260  Overall
#42  Document stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitecloud.google.com/­datastorewww.gridgain.comgithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationcloud.google.com/­datastore/­docswww.gridgain.com/­docs/­index.htmltechfort.github.io/­LokiJSdeveloper.microsoft.com/­en-us/­access
DeveloperGoogleGridGain Systems, Inc.Microsoft
Initial release2008200720141992
Current releaseGridGain 8.5.11902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial infoBundled with Microsoft Office
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 languageJava, C++, .NetJavaScriptC++
Server operating systemshostedLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Windows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesschema-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.noyesno
Secondary indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLSQL-like query language (GQL)ANSI-99 for query and DML statements, subset of DDLnoyes infobut not compliant to any SQL standard
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JavaScript APIADO.NET
DAO
ODBC
OLE DB
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresusing Google App Engineyes (compute grid and cache interceptors can be used instead)View functions in JavaScriptyes infosince Access 2010 using the ACE-engine
TriggersCallbacks using the Google Apps Engineyes (cache interceptors and events)yesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes (replicated cache)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyes (compute grid and hadoop accelerator)yesno
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 Consistencynone
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnonoyes
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 possibleACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementationsnono infoa simple user-level security was built in till version Access 2003

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More resources
Google Cloud DatastoreGridGainLokiJSMicrosoft Access
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