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DBMS > GridGain vs. Microsoft Azure Synapse Analytics vs. SWC-DB vs. Teradata Aster

System Properties Comparison GridGain vs. Microsoft Azure Synapse Analytics vs. SWC-DB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA high performance, scalable Wide Column DBMSPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value store
Relational DBMS
Relational DBMSWide column storeRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.gridgain.comazure.microsoft.com/­services/­synapse-analyticsgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperGridGain Systems, Inc.MicrosoftAlex KashirinTeradata
Initial release2007201620202005
Current releaseGridGain 8.5.10.5, April 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++C++
Server operating systemsLinux
OS X
Solaris
Windows
hostedLinuxLinux
Data schemeyesyesschema-freeFlexible 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 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.yesnonoyes infoin Aster File Store
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesSQL-like query languageyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Proprietary protocol
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
PHP
C++C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Transact SQLnoR packages
Triggersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesyes 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 methodsyes (compute grid and hadoop accelerator)nonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono 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 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.yesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsyesfine grained access rights according to SQL-standard

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More resources
GridGainMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSWC-DB infoSuper Wide Column DatabaseTeradata Aster
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