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DBMS > Dgraph vs. FatDB vs. Microsoft Azure Table Storage vs. Trafodion vs. Yaacomo

System Properties Comparison Dgraph vs. FatDB vs. Microsoft Azure Table Storage vs. Trafodion vs. Yaacomo

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonFatDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTrafodion  Xexclude from comparisonYaacomo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionDistributed and scalable native Graph DBMSA .NET NoSQL DBMS that can integrate with and extend SQL Server.A Wide Column Store for rapid development using massive semi-structured datasetsTransactional SQL-on-Hadoop DBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMSDocument store
Key-value store
Wide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitedgraph.ioazure.microsoft.com/­en-us/­services/­storage/­tablestrafodion.apache.orgyaacomo.com
Technical documentationdgraph.io/­docstrafodion.apache.org/­documentation.html
DeveloperDgraph Labs, Inc.FatCloudMicrosoftApache Software Foundation, originally developed by HPQ2WEB GmbH
Initial release20162012201220142009
Current release2.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC#C++, Java
Server operating systemsLinux
OS X
Windows
WindowshostedLinuxAndroid
Linux
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
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.nononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Servernoyesyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP APIADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyes infovia applicationsnoJava Stored Procedures
Triggersnoyes infovia applicationsnonoyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding infoImplicit feature of the cloud serviceShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftselectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, via HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingACIDACID
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 controlno infoPlanned for future releasesno infoCan implement custom security layer via applicationsAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DgraphFatDBMicrosoft Azure Table StorageTrafodionYaacomo
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