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DBMS > HugeGraph vs. Microsoft SQL Server

System Properties Comparison HugeGraph vs. Microsoft SQL Server

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Our visitors often compare HugeGraph and Microsoft SQL Server with Neo4j, Microsoft Azure Cosmos DB and ArangoDB.

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSMicrosofts flagship relational DBMS
Primary database modelGraph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#283  Overall
#21  Graph DBMS
Score944.96
Rank#3  Overall
#3  Relational DBMS
Websitegithub.com/­hugegraphwww.microsoft.com/­en-us/­sql-server
Technical documentationhugegraph.github.io/­hugegraph-docdocs.microsoft.com/­en-US/­sql/­sql-server
DeveloperBaiduMicrosoft
Initial release20181989
Current release0.9SQL Server 2019, November 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinux
macOS
Unix
Linux
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnoyes
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesGroovy
Java
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standard

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More resources
HugeGraphMicrosoft SQL Server
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