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DBMS > Google BigQuery vs. Microsoft SQL Server vs. Sqrrl vs. Transwarp StellarDB

System Properties Comparison Google BigQuery vs. Microsoft SQL Server vs. Sqrrl vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSqrrl  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionLarge scale data warehouse service with append-only tablesMicrosofts flagship relational DBMSAdaptable, secure NoSQL built on Apache AccumuloA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score829.80
Rank#3  Overall
#3  Relational DBMS
Score0.07
Rank#361  Overall
#38  Graph DBMS
Websitecloud.google.com/­bigquerywww.microsoft.com/­en-us/­sql-serversqrrl.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationcloud.google.com/­bigquery/­docslearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperGoogleMicrosoftAmazon infooriginally Sqrrl Data, Inc.Transwarp
Initial release201019892012
Current releaseSQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedLinux
Windows
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.noyes
Secondary indexesnoyesyes
SQL infoSupport of SQLyesyesnoSQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
OpenCypher
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding infomaking use of Hadoophorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server Editionselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)yes

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More resources
Google BigQueryMicrosoft SQL ServerSqrrlTranswarp StellarDB
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