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DBMS > Microsoft Azure Table Storage vs. MonetDB vs. RethinkDB vs. RisingWave vs. TigerGraph

System Properties Comparison Microsoft Azure Table Storage vs. MonetDB vs. RethinkDB vs. RisingWave vs. TigerGraph

Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonMonetDB  Xexclude from comparisonRethinkDB  Xexclude from comparisonRisingWave  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsA relational database management system that stores data in columnsDBMS for the Web with a mechanism to push updated query results to applications in realtime.A distributed RDBMS for stream processing, wire-compatible with PostgreSQLA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelWide column storeRelational DBMSDocument storeRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
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
Score2.66
Rank#107  Overall
#20  Document stores
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tableswww.monetdb.orgrethinkdb.comwww.risingwave.com/­databasewww.tigergraph.com
Technical documentationwww.monetdb.org/­Documentationrethinkdb.com/­docsdocs.risingwave.com/­docs/­current/­introdocs.tigergraph.com
DeveloperMicrosoftMonetDB BVThe Linux Foundation infosince July 2017RisingWave Labs
Initial release20122004200920222017
Current releaseDec2023 (11.49), December 20232.4.1, August 20201.2, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2Open Source infoApache Version 2.0commercial
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++RustC++
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Docker
Linux
macOS
Linux
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryStandard SQL-types and JSONyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsnoyesSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP APIJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
PostgreSQL wire protocol
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 infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Go
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnoyes, in SQL, C, RUDFs in Python or Javayes
TriggersnoyesClient-side triggers through changefeedsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding via remote tablesSharding inforange based
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 statusSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDAtomic single-document operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
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.nonoyesno
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardyes infousers and table-level permissionsUsers and RolesRole-based access control

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More resources
Microsoft Azure Table StorageMonetDBRethinkDBRisingWaveTigerGraph
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