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DBMS > Google BigQuery vs. IBM Db2 vs. InterSystems Caché vs. PostgreSQL

System Properties Comparison Google BigQuery vs. IBM Db2 vs. InterSystems Caché vs. PostgreSQL

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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 comparisonInterSystems Caché  Xexclude from comparisonPostgreSQL  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionLarge scale data warehouse service with append-only tablesCommon in IBM host environments, 2 different versions for host and Windows/LinuxA multi-model DBMS and application serverWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Document storeDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitecloud.google.com/­bigquerywww.ibm.com/­products/­db2www.intersystems.com/­products/­cachewww.postgresql.org
Technical documentationcloud.google.com/­bigquery/­docswww.ibm.com/­docs/­en/­db2docs.intersystems.comwww.postgresql.org/­docs
DeveloperGoogleIBMInterSystemsPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20101983 infohost version19971989 info1989: Postgres, 1996: PostgreSQL
Current release12.1, October 20162018.1.4, May 202016.2, February 2024
License infoCommercial or Open Sourcecommercialcommercial infofree version is availablecommercialOpen Source infoBSD
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.
Aiven for PostgreSQL: Fully managed PostgreSQL for developers with 70+ extensions and flexible orchestration tools.
Implementation languageC and C++C
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesdepending on used data modelyes
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.noyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyesyesyes infostandard with numerous extensions
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C#
C++
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoonly with Windows/Unix/Linux Versionnonepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes infowith separate tools (MQ, InfoSphere)Source-replica replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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
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.noyesno
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-standardAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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