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DBMS > Dgraph vs. FileMaker vs. GridGain vs. Microsoft Azure Synapse Analytics vs. Valentina Server

System Properties Comparison Dgraph vs. FileMaker vs. GridGain vs. Microsoft Azure Synapse Analytics vs. Valentina Server

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonFileMaker  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSFileMaker is a cross-platform RDBMS that includes a GUI frontend.GridGain is an in-memory computing platform, built on Apache IgniteElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerObject-relational database and reports server
Primary database modelGraph DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitedgraph.iowww.claris.com/­filemakerwww.gridgain.comazure.microsoft.com/­services/­synapse-analyticswww.valentina-db.net
Technical documentationdgraph.io/­docswww.claris.com/­resources/­documentationwww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDgraph Labs, Inc.Claris infoa subsidiary of AppleGridGain Systems, Inc.MicrosoftParadigma Software
Initial release20161983200720161999
Current release19.4.1, November 2021GridGain 8.5.15.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, C++, .NetC++
Server operating systemsLinux
OS X
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeyesyesyesyes
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.noyes infoA http query request can return the data in XML formatyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyes infovia pluginsANSI-99 for query and DML statements, subset of DDLyesyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Filemaker WebDirect
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
PHPC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
PHP
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)Transact SQLyes
Triggersnoyesyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesyesnoneShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftSource-replica replication, warm standby infosince Version 14yes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.yesyes
User concepts infoAccess controlno infoPlanned for future releasessimple rights management via user accounts and connection to external directory servicesSecurity Hooks for custom implementationsyesfine grained access rights according to SQL-standard

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More resources
DgraphFileMakerGridGainMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseValentina Server
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