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DBMS > DolphinDB vs. HugeGraph vs. NuoDB vs. Stardog

System Properties Comparison DolphinDB vs. HugeGraph vs. NuoDB vs. Stardog

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonNuoDB  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A fast-speed and highly-scalable Graph DBMSNuoDB is a webscale distributed database that supports SQL and ACID transactionsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelTime Series DBMSGraph DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.dolphindb.comgithub.com/­hugegraph
hugegraph.apache.org
www.3ds.com/­nuodb-distributed-sql-databasewww.stardog.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlhugegraph.apache.org/­docsdoc.nuodb.comdocs.stardog.com
DeveloperDolphinDB, IncBaiduDassault Systèmes infooriginally NuoDB, Inc.Stardog-Union
Initial release2018201820132010
Current releasev2.00.4, January 20220.97.3.0, May 2020
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache Version 2.0commercial infolimited edition freecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++Java
Server operating systemsLinux
Windows
Linux
macOS
Unix
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeyesyesyesschema-free and OWL/RDFS-schema support
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.nononono infoImport/export of XML data possible
Secondary indexesyesyes infoalso supports composite index and range indexyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like query languagenoyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Groovy
Java
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesasynchronous Gremlin script jobsJava, SQLuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBasedata is dynamically stored/cached on the nodes where it is read/writtennone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoManaged transparently by NuoDBMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes infoedges in graphyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes
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 infoTemporary tableyes
User concepts infoAccess controlAdministrators, Users, GroupsUsers, roles and permissionsStandard SQL roles/ privileges, Administrative UsersAccess rights for users and roles

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More resources
DolphinDBHugeGraphNuoDBStardog
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