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

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

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOpenMLDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationLarge 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.)An open-source machine learning database that provides a feature platform for training and inferenceBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelTime Series DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financecloud.google.com/­bigquerywww.microsoft.com/­en-us/­microsoft-365/­accessopenmldb.aiwww.postgres-xl.org
Technical documentationcloud.google.com/­bigquery/­docsdeveloper.microsoft.com/­en-us/­accessopenmldb.ai/­docs/­zh/­mainwww.postgres-xl.org/­documentation
DeveloperAxibase CorporationGoogleMicrosoft4 Paradigm Inc.
Initial release20132010199220202014 infosince 2012, originally named StormDB
Current release155851902 (16.0.11328.20222), March 20192024-2 February 202410 R1, October 2018
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercial infoBundled with Microsoft OfficeOpen SourceOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, Java, ScalaC
Server operating systemsLinuxhostedWindows infoNot a real database server, but making use of DLLsLinuxLinux
macOS
Data schemeyesyesyesFixed schemayes
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 indexesnonoyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyes infobut not compliant to any SQL standardyesyes infodistributed, parallel query execution
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
RESTful HTTP/JSON APIADO.NET
DAO
ODBC
OLE DB
JDBC
SQLAlchemy
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
PHP
Python
R
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesuser defined functions infoin JavaScriptyes infosince Access 2010 using the ACE-enginenouser defined functions
Triggersyesnoyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACID infobut no files for transaction loggingnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.noyesno
User concepts infoAccess controlAccess 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-standardfine grained access rights according to SQL-standard

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More resources
AxibaseGoogle BigQueryMicrosoft AccessOpenMLDBPostgres-XL
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