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DBMS > Dgraph vs. Graph Engine vs. NSDb vs. NuoDB vs. OpenMLDB

System Properties Comparison Dgraph vs. Graph Engine vs. NSDb vs. NuoDB vs. OpenMLDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonNSDb  Xexclude from comparisonNuoDB  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesNuoDB is a webscale distributed database that supports SQL and ACID transactionsAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelGraph DBMSGraph DBMS
Key-value store
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Websitedgraph.iowww.graphengine.ionsdb.iowww.3ds.com/­nuodb-distributed-sql-databaseopenmldb.ai
Technical documentationdgraph.io/­docswww.graphengine.io/­docs/­manualnsdb.io/­Architecturedoc.nuodb.comopenmldb.ai/­docs/­zh/­main
DeveloperDgraph Labs, Inc.MicrosoftDassault Systèmes infooriginally NuoDB, Inc.4 Paradigm Inc.
Initial release20162010201720132020
Current release2024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2.0commercial infolimited edition freeOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGo.NET and CJava, ScalaC++C++, Java, Scala
Server operating systemsLinux
OS X
Windows
.NETLinux
macOS
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
Data schemeschema-freeyesyesFixed schema
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyesyes
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.nonononono
Secondary indexesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLnonoSQL-like query languageyesyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
RESTful HTTP APIgRPC
HTTP REST
WebSocket
ADO.NET
JDBC
ODBC
JDBC
SQLAlchemy
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
F#
Visual Basic
Java
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresnoyesnoJava, SQLno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioningShardingdata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infoManaged transparently by NuoDBSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTemporary tableyes
User concepts infoAccess controlno infoPlanned for future releasesStandard SQL roles/ privileges, Administrative Usersfine grained access rights according to SQL-standard

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More resources
DgraphGraph Engine infoformer name: TrinityNSDbNuoDBOpenMLDB
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