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DBMS > BaseX vs. Google BigQuery vs. InfinityDB vs. Microsoft SQL Server vs. SAP HANA

System Properties Comparison BaseX vs. Google BigQuery vs. InfinityDB vs. Microsoft SQL Server vs. SAP HANA

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Large scale data warehouse service with append-only tablesA Java embedded Key-Value Store which extends the Java Map interfaceMicrosofts flagship relational DBMSIn-memory, column based data store. Available as appliance or cloud service
Primary database modelNative XML DBMSRelational DBMSKey-value storeRelational 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
Score1.48
Rank#142  Overall
#4  Native XML DBMS
Score45.62
Rank#24  Overall
#16  Relational DBMS
Score0.04
Rank#326  Overall
#51  Key-value stores
Score944.81
Rank#3  Overall
#3  Relational DBMS
Score56.92
Rank#21  Overall
#13  Relational DBMS
Websitebasex.orgcloud.google.com/­bigqueryboilerbay.comwww.microsoft.com/­en-us/­sql-serverwww.sap.com/­products/­hana.html
Technical documentationdocs.basex.orgcloud.google.com/­bigquery/­docsboilerbay.com/­infinitydb/­manualdocs.microsoft.com/­en-US/­sql/­sql-serverhelp.sap.com/­hana
DeveloperBaseX GmbHGoogleBoiler Bay Inc.MicrosoftSAP
Initial release20072010200219892010
Current release9.6.4, December 20214.0SQL Server 2019, November 20192.0 SPS05 (June 26, 2020), June 2020
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialcommercialcommercial 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 languageJavaJavaC++
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VMLinux
Windows
Appliance or cloud-service
Data schemeschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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 indexesyesnono infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLnoyesnoyesyes
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
RESTful HTTP/JSON APIAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesuser defined functions infoin JavaScriptnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaSQLScript, R
Triggersyes infovia eventsnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenonetables can be distributed across several files (horizontal partitioning); sharding through federationyes
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes, but depending on the SQL-Server Editionyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerno infoSince BigQuery is designed for querying dataACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nofine grained access rights according to SQL-standardyes

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More resources
BaseXGoogle BigQueryInfinityDBMicrosoft SQL ServerSAP HANA
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