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DBMS > Google BigQuery vs. InfinityDB vs. Microsoft SQL Server

System Properties Comparison Google BigQuery vs. InfinityDB vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft SQL Server  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 DBMS
Primary database modelRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score45.81
Rank#24  Overall
#16  Relational DBMS
Score0.04
Rank#325  Overall
#50  Key-value stores
Score954.02
Rank#3  Overall
#3  Relational DBMS
Websitecloud.google.com/­bigqueryboilerbay.comwww.microsoft.com/­en-us/­sql-server
Technical documentationcloud.google.com/­bigquery/­docsboilerbay.com/­infinitydb/­manualdocs.microsoft.com/­en-US/­sql/­sql-server
DeveloperGoogleBoiler Bay Inc.Microsoft
Initial release201020021989
Current release4.0SQL Server 2019, November 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedAll OS with a Java VMLinux
Windows
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.nonoyes
Secondary indexesnono infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLyesnoyes
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)
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
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyes
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 loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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-standard

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More resources
Google BigQueryInfinityDBMicrosoft SQL Server
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