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DBMS > Microsoft Azure Table Storage vs. MonetDB vs. Teradata Aster vs. TigerGraph

System Properties Comparison Microsoft Azure Table Storage vs. MonetDB vs. Teradata Aster vs. TigerGraph

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonMonetDB  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigerGraph  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsA relational database management system that stores data in columnsPlatform for big data analytics on multistructured data sources and typesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelWide column storeRelational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.25
Rank#71  Overall
#5  Wide column stores
Score1.92
Rank#123  Overall
#59  Relational DBMS
Score1.99
Rank#120  Overall
#9  Graph DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.monetdb.orgwww.tigergraph.com
Technical documentationwww.monetdb.org/­Documentationdocs.tigergraph.com
DeveloperMicrosoftMonetDB BVTeradata
Initial release2012200420052017
Current releaseOct2020-SP2, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
LinuxLinux
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
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 infoin Aster File Storeno
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsyesSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C#
C++
Java
Python
R
C++
Java
Server-side scripts infoStored proceduresnoyes, in SQL, C, RR packagesyes
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none infoSource-replica replication available in experimental statusyes 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 methodsnonoyes infoSQL Map-Reduce Frameworkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACIDACID
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.nonono
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
Microsoft Azure Table StorageMonetDBTeradata AsterTigerGraph
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
TigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Four out of the top five global banks use TigerGraph for real-time fraud detection....
» more
Market metricsANALYST RESEARCH Nov 2020: TigerGraph Named A Leader For Graph Data Platforms - TigerGraph...
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
Try TigerGraph for Free in the Cloud or On Prem https://www.tigergraph.com/get-tigergraph/...
» more

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More resources
Microsoft Azure Table StorageMonetDBTeradata AsterTigerGraph
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