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

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

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisoneXtremeDB  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 DBMSNatively in-memory DBMS with options for persistency, high-availability and clusteringGridGain 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 DBMS
Time Series DBMS
Key-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
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series 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.mcobject.comwww.gridgain.comazure.microsoft.com/­services/­synapse-analyticswww.valentina-db.net
Technical documentationdgraph.io/­docswww.mcobject.com/­docs/­extremedb.htmwww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­azure/­synapse-analyticsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDgraph Labs, Inc.McObjectGridGain Systems, Inc.MicrosoftParadigma Software
Initial release20162001200720161999
Current release8.2, 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 languageGoC and C++Java, C++, .NetC++
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
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.nono infosupport of XML interfaces availableyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLANSI-99 for query and DML statements, subset of DDLyesyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
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
.Net
C
C#
C++
Java
Lua
Python
Scala
C#
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
Triggersnoyes infoby defining eventsyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning / shardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes (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 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 dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.yesyesyes
User concepts infoAccess controlno infoPlanned for future releasesSecurity Hooks for custom implementationsyesfine grained access rights according to SQL-standard
More information provided by the system vendor
DgrapheXtremeDBGridGainMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseValentina Server
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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DgrapheXtremeDBGridGainMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseValentina Server
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