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DBMS > Graph Engine vs. HugeGraph vs. Microsoft SQL Server vs. YDB

System Properties Comparison Graph Engine vs. HugeGraph vs. Microsoft SQL Server vs. YDB

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA fast-speed and highly-scalable Graph DBMSMicrosofts flagship relational DBMSA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelGraph DBMS
Key-value store
Graph DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitewww.graphengine.iogithub.com/­hugegraph
hugegraph.apache.org
www.microsoft.com/­en-us/­sql-servergithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.graphengine.io/­docs/­manualhugegraph.apache.org/­docslearn.microsoft.com/­en-US/­sql/­sql-serverydb.tech/­en/­docs
DeveloperMicrosoftBaiduMicrosoftYandex
Initial release2010201819892019
Current release0.9SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0commercial inforestricted free version is availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaC++
Server operating systems.NETLinux
macOS
Unix
Linux
Windows
Linux
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnonoyesSQL-like query language (YQL)
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC#
C++
F#
Visual Basic
Groovy
Java
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesasynchronous Gremlin script jobsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBasetables can be distributed across several files (horizontal partitioning); sharding through federationSharding
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 EditionActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
Graph Engine infoformer name: TrinityHugeGraphMicrosoft SQL ServerYDB
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