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

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

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonRealm  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA Java embedded Key-Value Store which extends the Java Map interfaceMicrosofts flagship relational DBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSKey-value storeRelational DBMSDocument storeRelational 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
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score44.69
Rank#22  Overall
#16  Relational DBMS
Websitecloud.google.com/­bigqueryboilerbay.comwww.microsoft.com/­en-us/­sql-serverrealm.iowww.sap.com/­products/­hana.html
Technical documentationcloud.google.com/­bigquery/­docsboilerbay.com/­infinitydb/­manuallearn.microsoft.com/­en-US/­sql/­sql-serverrealm.io/­docshelp.sap.com/­hana
DeveloperGoogleBoiler Bay Inc.MicrosoftRealm, acquired by MongoDB in May 2019SAP
Initial release20102002198920142010
Current release4.0SQL Server 2022, November 20222.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono 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 languageJavaC++
Server operating systemshostedAll OS with a Java VMLinux
Windows
Android
Backend: server-less
iOS
Windows
Appliance or cloud-service
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyesyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyesyes
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.nonoyesnono
Secondary indexesnono infomanual creation possible, using inversions based on multi-value capabilityyesyesyes
SQL infoSupport of SQLyesnoyesnoyes
APIs and other access methodsRESTful 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 languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
JavaC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano inforuns within the applications so server-side scripts are unnecessarySQLScript, R
Triggersnonoyesyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnonenonetables can be distributed across several files (horizontal partitioning); sharding through federationnoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, but depending on the SQL-Server Editionnoneyes
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 infoIn-Memory realmyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nofine grained access rights according to SQL-standardyesyes

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More resources
Google BigQueryInfinityDBMicrosoft SQL ServerRealmSAP HANA
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