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DBMS > AgensGraph vs. Alibaba Cloud MaxCompute vs. Atos Standard Common Repository vs. Kingbase vs. Microsoft Azure Synapse Analytics

System Properties Comparison AgensGraph vs. Alibaba Cloud MaxCompute vs. Atos Standard Common Repository vs. Kingbase vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAlibaba Cloud MaxCompute  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonKingbase  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelGraph DBMS
Relational DBMS
Relational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument store
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitebitnine.net/­agensgraphwww.alibabacloud.com/­product/­maxcomputeatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.kingbase.com.cnazure.microsoft.com/­services/­synapse-analytics
Technical documentationbitnine.net/­documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.microsoft.com/­azure/­synapse-analytics
DeveloperBitnine Global Inc.AlibabaAtos Convergence CreatorsBeiJing KINGBASE Information technologies inc.Microsoft
Initial release20162016201619992016
Current release2.1, December 20181703V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC and JavaC++
Server operating systemsLinux
OS X
Windows
hostedLinuxLinux
Windows
hosted
Data schemedepending on used data modelyesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.nonoyesyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesSQL-like query languagenoStandard with numerous extensionsyes
APIs and other access methodsCypher Query Language
JDBC
Fluentd
Flume
MaxCompute Console
LDAPADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
ADO.NET
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
JavaAll languages with LDAP bindings.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
PHP
Server-side scripts infoStored proceduresyesuser defined functions infoin Javanouser defined functionsTransact SQL
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoImplicit feature of the cloud serviceSharding infocell divisionhorizontal partitioning (by range, list and hash) and vertical partitioningSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsACIDACID
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesLDAP bind authenticationfine grained access rights according to SQL-standardyes

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More resources
AgensGraphAlibaba Cloud MaxComputeAtos Standard Common RepositoryKingbaseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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