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DBMS > Google Cloud Bigtable vs. Microsoft Access vs. Oracle NoSQL vs. SQL.JS

System Properties Comparison Google Cloud Bigtable vs. Microsoft Access vs. Oracle NoSQL vs. SQL.JS

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSQL.JS  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.Microsoft 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 nodesPort of SQLite to JavaScript
Primary database modelKey-value store
Wide column store
Relational DBMSDocument store
Key-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitecloud.google.com/­bigtablewww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­database/­nosql/­technologies/­nosqlsql.js.org
Technical documentationcloud.google.com/­bigtable/­docsdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlsql.js.org/­documentation/­index.html
DeveloperGoogleMicrosoftOracleAlon Zakai infoenhancements implemented by others
Initial release2015199220112012
Current release1902 (16.0.11328.20222), March 201923.3, December 2023
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaScript
Server operating systemshostedWindows infoNot a real database server, but making use of DLLsLinux
Solaris SPARC/x86
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or datenoyesoptionalyes
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
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardSQL-like DML and DDL statementsyes infoSQL-92 is not fully supported
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIJavaScript API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C#
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenono
Triggersnoyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesnoneElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featurenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith 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)Eventual Consistency
Immediate Consistency infodepending on configuration
none
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infobut no files for transaction loggingconfigurable infoACID within a storage node (=shard)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesno 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.noyes infooff heap cacheyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no infoa simple user-level security was built in till version Access 2003Access rights for users and rolesno

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More resources
Google Cloud BigtableMicrosoft AccessOracle NoSQLSQL.JS
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