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DBMS > Google Cloud Bigtable vs. LokiJS vs. Microsoft Access vs. Oracle NoSQL vs. SiteWhere

System Properties Comparison Google Cloud Bigtable vs. LokiJS vs. Microsoft Access vs. Oracle NoSQL vs. SiteWhere

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.In-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.)A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesM2M integration platform for persisting/querying time series data
Primary database modelKey-value store
Wide column store
Document storeRelational DBMSDocument store
Key-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.44
Rank#256  Overall
#40  Document stores
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score3.07
Rank#86  Overall
#15  Document stores
#11  Key-value stores
#47  Relational DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websitecloud.google.com/­bigtablegithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­database/­nosql/­technologies/­nosqlgithub.com/­sitewhere/­sitewhere
Technical documentationcloud.google.com/­bigtable/­docstechfort.github.io/­LokiJSdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlsitewhere1.sitewhere.io/­index.html
DeveloperGoogleMicrosoftOracleSiteWhere
Initial release20152014199220112010
Current release1902 (16.0.11328.20222), March 201924.1, May 2024
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++JavaJava
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js)Windows infoNot a real database server, but making use of DLLsLinux
Solaris SPARC/x86
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.predefined scheme
Typing infopredefined data types such as float or datenonoyesoptionalyes
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 indexesnoyes infovia viewsyesyesno
SQL infoSupport of SQLnonoyes infobut not compliant to any SQL standardSQL-like DML and DDL statementsno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JavaScript APIADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIHTTP REST
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoView functions in JavaScriptyes infosince Access 2010 using the ACE-engineno
Triggersnoyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnonenoneElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneEventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsno infoatomic operations within a single collection possibleACID infobut no files for transaction loggingconfigurable infoACID within a storage node (=shard)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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 loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infooff heap cacheno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nono infoa simple user-level security was built in till version Access 2003Access rights for users and rolesUsers with fine-grained authorization concept

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More resources
Google Cloud BigtableLokiJSMicrosoft AccessOracle NoSQLSiteWhere
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