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DBMS > GridDB vs. IBM Db2 vs. Microsoft Azure SQL Database vs. Microsoft Azure Synapse Analytics vs. Teradata Aster

System Properties Comparison GridDB vs. IBM Db2 vs. Microsoft Azure SQL Database vs. Microsoft Azure Synapse Analytics vs. Teradata Aster

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionScalable in-memory time series database optimized for IoT and Big DataCommon in IBM host environments, 2 different versions for host and Windows/LinuxDatabase as a Service offering with high compatibility to Microsoft SQL ServerElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerPlatform for big data analytics on multistructured data sources and types
Primary database modelTime Series DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitegriddb.netwww.ibm.com/­products/­db2azure.microsoft.com/­en-us/­products/­azure-sql/­databaseazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.griddb.netwww.ibm.com/­docs/­en/­db2docs.microsoft.com/­en-us/­azure/­azure-sqldocs.microsoft.com/­azure/­synapse-analytics
DeveloperToshiba CorporationIBMMicrosoftMicrosoftTeradata
Initial release20131983 infohost version201020162005
Current release5.1, August 202212.1, October 2016V12
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree version is availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C++C++
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
z/OS
hostedhostedLinux
Data schemeyesyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyesyes
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.noyesnoyes infoin Aster File Store
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)yesyesyesyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
PHP
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyesTransact SQLTransact SQLR packages
Triggersyesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoonly with Windows/Unix/Linux VersionSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infowith separate tools (MQ, InfoSphere)yes, with always 3 replicas availableyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard
More information provided by the system vendor
GridDBIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure SQL Database infoformerly SQL AzureMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTeradata Aster
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridDBIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure SQL Database infoformerly SQL AzureMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTeradata Aster
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