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DBMS > AgensGraph vs. Alibaba Cloud Table Store vs. Drizzle vs. Microsoft Azure Synapse Analytics vs. Teradata Aster

System Properties Comparison AgensGraph vs. Alibaba Cloud Table Store vs. Drizzle vs. Microsoft Azure Synapse Analytics vs. Teradata Aster

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAlibaba Cloud Table Store  Xexclude from comparisonDrizzle  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Elastic, 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 modelGraph DBMS
Relational DBMS
Wide column storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.31
Rank#297  Overall
#11  Wide column stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitebitnine.net/­agensgraphwww.alibabacloud.com/­product/­table-storeazure.microsoft.com/­services/­synapse-analytics
Technical documentationbitnine.net/­documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.microsoft.com/­azure/­synapse-analytics
DeveloperBitnine Global Inc.AlibabaDrizzle project, originally started by Brian AkerMicrosoftTeradata
Initial release20162016200820162005
Current release2.1, December 20187.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++
Server operating systemsLinux
OS X
Windows
hostedFreeBSD
Linux
OS X
hostedLinux
Data schemedepending on used data modelschema-freeyesyesFlexible 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 dateyesyesyesyesyes
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.nononoyes infoin Aster File Store
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsyesyes
APIs and other access methodsCypher Query Language
JDBC
HTTP APIJDBCADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
Java
JavaScript
Python
Java
Python
C
C++
Java
PHP
C#
Java
PHP
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesnonoTransact SQLR packages
Triggersnonono infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoImplicit feature of the cloud serviceShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
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 methodsnonononoyes 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 integrityyesnoyesno 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 dataACIDAtomic single-row operationsACIDACIDACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on subaccounts and tokensPluggable authentication mechanisms infoe.g. LDAP, HTTPyesfine grained access rights according to SQL-standard

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More resources
AgensGraphAlibaba Cloud Table StoreDrizzleMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTeradata Aster
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