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DBMS > Axibase vs. Cubrid vs. Google BigQuery vs. Microsoft Access vs. Postgres-XL

System Properties Comparison Axibase vs. Cubrid vs. Google BigQuery vs. Microsoft Access vs. Postgres-XL

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonCubrid  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPLarge scale data warehouse service with append-only tablesMicrosoft 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.)Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#292  Overall
#25  Time Series DBMS
Score1.44
Rank#168  Overall
#77  Relational DBMS
Score62.67
Rank#19  Overall
#13  Relational DBMS
Score107.93
Rank#11  Overall
#8  Relational DBMS
Score0.56
Rank#253  Overall
#115  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financecubrid.com (korean)
cubrid.org (english)
cloud.google.com/­bigquerywww.microsoft.com/­en-us/­microsoft-365/­accesswww.postgres-xl.org
Technical documentationcubrid.org/­manualscloud.google.com/­bigquery/­docsdeveloper.microsoft.com/­en-us/­accesswww.postgres-xl.org/­documentation
DeveloperAxibase CorporationCUBRID Corporation, CUBRID FoundationGoogleMicrosoft
Initial release20132008201019922014 infosince 2012, originally named StormDB
Current release1558511.0, January 20211902 (16.0.11328.20222), March 201910 R1, October 2018
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoApache Version 2.0commercialcommercial infoBundled with Microsoft OfficeOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++, JavaC++C
Server operating systemsLinuxLinux
Windows
hostedWindows infoNot a real database server, but making use of DLLsLinux
macOS
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyesyes
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.nononoyes infoXML type, but no XML query functionality
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSQL-like query languageyesyesyes infobut not compliant to any SQL standardyes infodistributed, parallel query execution
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
RESTful HTTP/JSON APIADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesJava Stored Proceduresuser defined functions infoin JavaScriptyes infosince Access 2010 using the ACE-engineuser defined functions
Triggersyesyesnoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoSince BigQuery is designed for querying dataACID infobut no files for transaction loggingACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)no infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard

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AxibaseCubridGoogle BigQueryMicrosoft AccessPostgres-XL
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