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DBMS > Google BigQuery vs. HyperSQL vs. Microsoft Access vs. Trafodion

System Properties Comparison Google BigQuery vs. HyperSQL vs. Microsoft Access vs. Trafodion

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionLarge scale data warehouse service with append-only tablesMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBMicrosoft 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.)Transactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitecloud.google.com/­bigqueryhsqldb.orgwww.microsoft.com/­en-us/­microsoft-365/­accesstrafodion.apache.org
Technical documentationcloud.google.com/­bigquery/­docshsqldb.org/­web/­hsqlDocsFrame.htmldeveloper.microsoft.com/­en-us/­accesstrafodion.apache.org/­documentation.html
DeveloperGoogleMicrosoftApache Software Foundation, originally developed by HP
Initial release2010200119922014
Current release2.7.2, June 20231902 (16.0.11328.20222), March 20192.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infobased on BSD licensecommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, Java
Server operating systemshostedAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesWindows infoNot a real database server, but making use of DLLsLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLyesyesyes infobut not compliant to any SQL standardyes
APIs and other access methodsRESTful HTTP/JSON APIHTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
All languages supporting JDBC/ODBC
Java
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptJava, SQLyes infosince Access 2010 using the ACE-engineJava Stored Procedures
Triggersnoyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.noyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard

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More resources
Google BigQueryHyperSQL infoalso known as HSQLDBMicrosoft AccessTrafodion
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