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DBMS > Google Cloud Bigtable vs. Microsoft Access vs. mSQL vs. Oracle NoSQL vs. TigerGraph

System Properties Comparison Google Cloud Bigtable vs. Microsoft Access vs. mSQL vs. Oracle NoSQL vs. TigerGraph

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonTigerGraph  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.)mSQL (Mini SQL) is a simple and lightweight RDBMSA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelKey-value store
Wide column store
Relational DBMSRelational DBMSDocument store
Key-value store
Relational DBMS
Graph 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
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitecloud.google.com/­bigtablewww.microsoft.com/­en-us/­microsoft-365/­accesshughestech.com.au/­products/­msqlwww.oracle.com/­database/­nosql/­technologies/­nosqlwww.tigergraph.com
Technical documentationcloud.google.com/­bigtable/­docsdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmldocs.tigergraph.com
DeveloperGoogleMicrosoftHughes TechnologiesOracle
Initial release20151992199420112017
Current release1902 (16.0.11328.20222), March 20194.4, October 202123.3, December 2023
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft Officecommercial infofree licenses can be providedOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJavaC++
Server operating systemshostedWindows infoNot a real database server, but making use of DLLsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Solaris SPARC/x86
Linux
Data schemeschema-freeyesyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or datenoyesyesoptionalyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like DML and DDL statementsSQL-like query language (GSQL)
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Delphi
Java
Perl
PHP
Tcl
C
C#
Go
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-enginenonoyes
Triggersnoyes infosince Access 2010 using the ACE-enginenonono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
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 feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonowith Hadoop integrationyes
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
Foreign keys infoReferential integritynoyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACID infobut no files for transaction loggingnoconfigurable infoACID within a storage node (=shard)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infooff heap cacheno
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 2003noAccess rights for users and rolesRole-based access control

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More resources
Google Cloud BigtableMicrosoft AccessmSQL infoMini SQLOracle NoSQLTigerGraph
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