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DBMS > AllegroGraph vs. DolphinDB vs. GridGain vs. NuoDB vs. STSdb

System Properties Comparison AllegroGraph vs. DolphinDB vs. GridGain vs. NuoDB vs. STSdb

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDolphinDB  Xexclude from comparisonGridGain  Xexclude from comparisonNuoDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDolphinDB 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.GridGain is an in-memory computing platform, built on Apache IgniteNuoDB is a webscale distributed database that supports SQL and ACID transactionsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Time Series DBMSKey-value store
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteallegrograph.comwww.dolphindb.comwww.gridgain.comwww.3ds.com/­nuodb-distributed-sql-databasegithub.com/­STSSoft/­STSdb4
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.dolphindb.cn/­en/­help200/­index.htmlwww.gridgain.com/­docs/­index.htmldoc.nuodb.com
DeveloperFranz Inc.DolphinDB, IncGridGain Systems, Inc.Dassault Systèmes infooriginally NuoDB, Inc.STS Soft SC
Initial release20042018200720132011
Current release8.0, December 2023v2.00.4, January 2022GridGain 8.5.14.0.8, September 2015
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree community version availablecommercialcommercial infolimited edition freeOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .NetC++C#
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Windows
Data schemeyes infoRDF schemasyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoprimitive types and user defined types (classes)
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.no infobulk load of XML files possiblenoyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
.NET Client API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesyes (compute grid and cache interceptors can be used instead)Java, SQLno
Triggersyesnoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioningShardingdata is dynamically stored/cached on the nodes where it is read/writtennone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes (replicated cache)yes infoManaged transparently by NuoDBnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoTemporary table
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAdministrators, Users, GroupsSecurity Hooks for custom implementationsStandard SQL roles/ privileges, Administrative Usersno
More information provided by the system vendor
AllegroGraphDolphinDBGridGainNuoDBSTSdb
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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