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DBMS > Google BigQuery vs. Greenplum vs. IBM Db2 vs. SAP Adaptive Server

System Properties Comparison Google BigQuery vs. Greenplum vs. IBM Db2 vs. SAP Adaptive Server

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGreenplum  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Common in IBM host environments, 2 different versions for host and Windows/LinuxThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Spatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score36.31
Rank#25  Overall
#17  Relational DBMS
Websitecloud.google.com/­bigquerygreenplum.orgwww.ibm.com/­products/­db2www.sap.com/­products/­technology-platform/­sybase-ase.html
Technical documentationcloud.google.com/­bigquery/­docsdocs.greenplum.orgwww.ibm.com/­docs/­en/­db2help.sap.com/­docs/­SAP_ASE
DeveloperGooglePivotal Software Inc.IBMSAP, Sybase
Initial release201020051983 infohost version1987
Current release7.0.0, September 202312.1, October 201616.0
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C and C++
Server operating systemshostedLinuxAIX
HP-UX
Linux
Solaris
Windows
z/OS
AIX
HP-UX
Linux
Solaris
Unix
Windows
Data schemeyesyesyesyes
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.noyes infosince Version 4.2no
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyesyesyes
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
Java
Perl
Python
R
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C
C++
Cobol
Java
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyesyesJava and Transact-SQL
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoonly with Windows/Unix/Linux Versionhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infowith separate tools (MQ, InfoSphere)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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.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-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Google BigQueryGreenplumIBM Db2 infoformerly named DB2 or IBM Database 2SAP Adaptive Server infoformer name: Sybase ASE
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