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DBMS > HugeGraph vs. Microsoft SQL Server vs. Oracle vs. Prometheus

System Properties Comparison HugeGraph vs. Microsoft SQL Server vs. Oracle vs. Prometheus

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOracle  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSMicrosofts flagship relational DBMSWidely used RDBMSOpen-source TimeSeries DBMS and monitoring system
Primary database modelGraph DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#271  Overall
#21  Graph DBMS
Score924.68
Rank#3  Overall
#3  Relational DBMS
Score1236.37
Rank#1  Overall
#1  Relational DBMS
Score6.31
Rank#67  Overall
#4  Time Series DBMS
Websitegithub.com/­hugegraphwww.microsoft.com/­en-us/­sql-serverwww.oracle.com/­databaseprometheus.io
Technical documentationhugegraph.github.io/­hugegraph-docdocs.microsoft.com/­en-US/­sql/­sql-serverdocs.oracle.com/­en/­databaseprometheus.io/­docs
DeveloperBaiduMicrosoftOracle
Initial release2018198919802015
Current release0.9SQL Server 2019, November 201919c, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial inforestricted free version is availablecommercial inforestricted free version is availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C and C++Go
Server operating systemsLinux
macOS
Unix
Linux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
Windows
Data schemeyesyesyes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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.noyesyesno infoImport of XML data possible
Secondary indexesyes infoalso supports composite index and range indexyesyesno
SQL infoSupport of SQLnoyesyes infowith proprietary extensionsno
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP/JSON API
Supported programming languagesGroovy
Java
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaPL/SQL infoalso stored procedures in Java possibleno
Triggersnoyesyesno
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 federationSharding, horizontal partitioningSharding
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 EditionMulti-source replication
Source-replica replication
yes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknono infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyes infoedges in graphyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoisolation level can be parameterizedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'no
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
HugeGraphMicrosoft SQL ServerOraclePrometheus
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