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DBMS > Google BigQuery vs. IBM Db2 vs. Informix vs. SQLite

System Properties Comparison Google BigQuery vs. IBM Db2 vs. Informix vs. SQLite

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonInformix  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesCommon in IBM host environments, 2 different versions for host and Windows/LinuxA secure embeddable database from IBM, positioned besides DB2 as a relatively low-cost product optimized for OLTP and Internet of Things dataWidely used in-process RDBMS
Primary database modelRelational DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMS
Secondary database modelsDocument store
RDF store infoin DB2 LUW (Linux, Unix, Windows)
Document store
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.44
Rank#27  Overall
#16  Relational DBMS
Score172.60
Rank#6  Overall
#5  Relational DBMS
Score26.19
Rank#26  Overall
#15  Relational DBMS
Score121.03
Rank#11  Overall
#7  Relational DBMS
Websitecloud.google.com/­bigquerywww.ibm.com/­analytics/­db2www.ibm.com/­products/­informixwww.sqlite.org
Technical documentationcloud.google.com/­bigquery/­docswww.ibm.com/­support/­knowledgecenter/­SSEPGGinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
www.sqlite.org/­docs.html
DeveloperGoogleIBMIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Dwayne Richard Hipp
Initial release20101983 infohost version19842000
Current release12.1, October 201614.10, March 20193.30.1, October 2019
License infoCommercial or Open Sourcecommercialcommercial infofree version is availablecommercial infofree developer edition availableOpen 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 languageC and C++C, C++ and JavaC
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
AIX
HP-UX
Linux
macOS
Solaris
Windows
server-less
Data schemeyesyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyes infoSince Version 12.10 support for JSON/BSON datatypesyes 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.nono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyesyesyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
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 JavaScriptyesyesno
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoonly with Windows/Unix/Linux VersionShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infowith separate tools (MQ, InfoSphere)Master-master replication
Master-slave replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDACID
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.noyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardUsers with fine-grained authentication, authorization, and auditing controlsno

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More resources
Google BigQueryIBM Db2 infoformerly named DB2 or IBM Database 2InformixSQLite
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