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DBMS > EXASOL vs. Google BigQuery vs. Microsoft Access vs. Microsoft SQL Server vs. SAP HANA

System Properties Comparison EXASOL vs. Google BigQuery vs. Microsoft Access vs. Microsoft SQL Server vs. SAP HANA

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Large 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.)Microsofts flagship relational DBMSIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score45.84
Rank#22  Overall
#16  Relational DBMS
Websitewww.exasol.comcloud.google.com/­bigquerywww.microsoft.com/­en-us/­microsoft-365/­accesswww.microsoft.com/­en-us/­sql-serverwww.sap.com/­products/­hana.html
Technical documentationwww.exasol.com/­resourcescloud.google.com/­bigquery/­docsdeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­hana
DeveloperExasolGoogleMicrosoftMicrosoftSAP
Initial release20002010199219892010
Current release1902 (16.0.11328.20222), March 2019SQL Server 2022, November 20222.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft Officecommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemshostedWindows infoNot a real database server, but making use of DLLsLinux
Windows
Appliance or cloud-service
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesyesyes infobut not compliant to any SQL standardyesyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP/JSON APIADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Supported programming languagesJava
Lua
Python
R
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin JavaScriptyes infosince Access 2010 using the ACE-engineTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaSQLScript, R
Triggersyesnoyes infosince Access 2010 using the ACE-engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonetables can be distributed across several files (horizontal partitioning); sharding through federationyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, but depending on the SQL-Server Editionyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACID infobut no files for transaction loggingACIDACID
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.yesnoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles 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-standardyes

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More resources
EXASOLGoogle BigQueryMicrosoft AccessMicrosoft SQL ServerSAP HANA
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