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DBMS > Dgraph vs. GridGain vs. HugeGraph vs. Microsoft Azure SQL Database vs. searchxml

System Properties Comparison Dgraph vs. GridGain vs. HugeGraph vs. Microsoft Azure SQL Database vs. searchxml

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSGridGain is an in-memory computing platform, built on Apache IgniteA fast-speed and highly-scalable Graph DBMSDatabase as a Service offering with high compatibility to Microsoft SQL ServerDBMS for structured and unstructured content wrapped with an application server
Primary database modelGraph DBMSKey-value store
Relational DBMS
Graph DBMSRelational DBMSNative XML DBMS
Search engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitedgraph.iowww.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.searchxml.net/­category/­products
Technical documentationdgraph.io/­docswww.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.searchxml.net/­support/­handouts
DeveloperDgraph Labs, Inc.GridGain Systems, Inc.BaiduMicrosoftinformationpartners gmbh
Initial release20162007201820102015
Current releaseGridGain 8.5.10.9V121.0
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0commercialcommercial
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++, .NetJavaC++C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
macOS
Unix
hostedWindows
Data schemeschema-freeyesyesyesschema-free
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.noyesnoyesyes
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyesno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobsTransact SQLyes infoon the application server
Triggersnoyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBaseyes, with always 3 replicas availableyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)via hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDmultiple readers, single writer
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.yesyesno
User concepts infoAccess controlno infoPlanned for future releasesSecurity Hooks for custom implementationsUsers, roles and permissionsfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application services

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More resources
DgraphGridGainHugeGraphMicrosoft Azure SQL Database infoformerly SQL Azuresearchxml
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