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DBMS > Google BigQuery vs. IBM Db2 warehouse vs. InterSystems IRIS vs. MarkLogic

System Properties Comparison Google BigQuery vs. IBM Db2 warehouse vs. InterSystems IRIS vs. MarkLogic

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesCloud-based data warehousing serviceA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityOperational and transactional Enterprise NoSQL database
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websitecloud.google.com/­bigquerywww.ibm.com/­products/­db2/­warehousewww.intersystems.com/­products/­intersystems-iriswww.marklogic.com
Technical documentationcloud.google.com/­bigquery/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.marklogic.com
DeveloperGoogleIBMInterSystemsMarkLogic Corp.
Initial release2010201420182001
Current release2023.3, June 202311.0, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedhostedAIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Windows
Data schemeyesyesdepending on used data modelschema-free infoSchema can be enforced
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.nono infoImport/export of XML data possibleyesyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyesyesyes infoSQL92
APIs and other access methodsRESTful HTTP/JSON API.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptPL/SQL, SQL PLyesyes infovia XQuery or JavaScript
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDACID infocan act as a resource manager in an XA/JTA transaction
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.noyesyesyes, with Range Indexes
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-standardyesRole-based access control at the document and subdocument levels
More information provided by the system vendor
Google BigQueryIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISMarkLogic
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Google BigQueryIBM Db2 warehouse infoformerly named IBM dashDBInterSystems IRISMarkLogic
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