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DBMS > Google BigQuery vs. InterSystems IRIS vs. Newts vs. SQLite

System Properties Comparison Google BigQuery vs. InterSystems IRIS vs. Newts vs. SQLite

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonNewts  Xexclude from comparisonSQLite  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 scalabilityTime Series DBMS based on CassandraWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score45.62
Rank#24  Overall
#16  Relational DBMS
Score1.80
Rank#128  Overall
#21  Document stores
#23  Key-value stores
#2  Object oriented DBMS
#63  Relational DBMS
Score0.00
Rank#351  Overall
#36  Time Series DBMS
Score127.43
Rank#10  Overall
#7  Relational DBMS
Websitecloud.google.com/­bigquerywww.intersystems.com/­products/­intersystems-irisopennms.github.io/­newtswww.sqlite.org
Technical documentationcloud.google.com/­bigquery/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsgithub.com/­OpenNMS/­newts/­wikiwww.sqlite.org/­docs.html
DeveloperGoogleInterSystemsOpenNMS GroupDwayne Richard Hipp
Initial release2010201820142000
Current release2021.1, June 20213.37.2  (6 January 2022), January 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoPublic Domain
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemshostedAIX
Linux
macOS
Windows
Linux
OS X
Windows
server-less
Data schemeyesdepending on used data modelschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesyes infonot rigid because of 'dynamic typing' concept.
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.noyesnono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLyesyesnoyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
JavaActionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesnono
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
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.noyesnoyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)yesnono

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More resources
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