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DBMS > Microsoft Azure Table Storage vs. MonetDB vs. TigerGraph vs. VelocityDB vs. YottaDB

System Properties Comparison Microsoft Azure Table Storage vs. MonetDB vs. TigerGraph vs. VelocityDB vs. YottaDB

Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonMonetDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonVelocityDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsA relational database management system that stores data in columnsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)A fast and solid embedded Key-value store
Primary database modelWide column storeRelational DBMSGraph DBMSGraph DBMS
Object oriented DBMS
Key-value store
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.monetdb.orgwww.tigergraph.comvelocitydb.comyottadb.com
Technical documentationwww.monetdb.org/­Documentationdocs.tigergraph.comvelocitydb.com/­UserGuideyottadb.com/­resources/­documentation
DeveloperMicrosoftMonetDB BVVelocityDB IncYottaDB, LLC
Initial release20122004201720112001
Current releaseDec2023 (11.49), December 20237.x
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0commercialcommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C#C
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
LinuxAny that supports .NETDocker
Linux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononono
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsSQL-like query language (GSQL)noby using the Octo plugin
APIs and other access methodsRESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
.NetPostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
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++
Java
.NetC
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnoyes, in SQL, C, Ryesno
TriggersnoyesnoCallbacks are triggered when data changes
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
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyesyes
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardRole-based access controlBased on Windows AuthenticationUsers and groups based on OS-security mechanisms

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More resources
Microsoft Azure Table StorageMonetDBTigerGraphVelocityDBYottaDB
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