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DBMS > Google BigQuery vs. IBM Db2 vs. Spark SQL

System Properties Comparison Google BigQuery vs. IBM Db2 vs. Spark SQL

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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 comparisonSpark SQL  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesCommon in IBM host environments, 2 different versions for host and Windows/LinuxSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score127.49
Rank#8  Overall
#5  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitecloud.google.com/­bigquerywww.ibm.com/­products/­db2spark.apache.org/­sql
Technical documentationcloud.google.com/­bigquery/­docswww.ibm.com/­docs/­en/­db2spark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGoogleIBMApache Software Foundation
Initial release20101983 infohost version2014
Current release12.1, October 20163.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercialcommercial infofree version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++Scala
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnoyesno
SQL infoSupport of SQLyesyesSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoonly with Windows/Unix/Linux Versionyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infowith separate tools (MQ, InfoSphere)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
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-standardno

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