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DBMS > Google BigQuery vs. InterSystems IRIS vs. Microsoft SQL Server vs. Newts

System Properties Comparison Google BigQuery vs. InterSystems IRIS vs. Microsoft SQL Server vs. Newts

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityMicrosofts flagship relational DBMSTime Series DBMS based on Cassandra
Primary database modelRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitecloud.google.com/­bigquerywww.intersystems.com/­products/­intersystems-iriswww.microsoft.com/­en-us/­sql-serveropennms.github.io/­newts
Technical documentationcloud.google.com/­bigquery/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clslearn.microsoft.com/­en-US/­sql/­sql-servergithub.com/­OpenNMS/­newts/­wiki
DeveloperGoogleInterSystemsMicrosoftOpenNMS Group
Initial release2010201819892014
Current release2023.3, June 2023SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen Source infoApache 2.0
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 systemshostedAIX
Linux
macOS
Ubuntu
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesdepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyesno
Secondary indexesnoyesyesno
SQL infoSupport of SQLyesyesyesno
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP REST
Java API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Java
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, but depending on the SQL-Server Editionselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDno
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.noyesyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yesfine grained access rights according to SQL-standardno
More information provided by the system vendor
Google BigQueryInterSystems IRISMicrosoft SQL ServerNewts
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Google BigQueryInterSystems IRISMicrosoft SQL ServerNewts
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