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DBMS > DolphinDB vs. TinkerGraph vs. Valentina Server

System Properties Comparison DolphinDB vs. TinkerGraph vs. Valentina Server

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonTinkerGraph  Xexclude from comparisonValentina Server  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 lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIObject-relational database and reports server
Primary database modelTime Series DBMS
Vector DBMS
Graph DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.62
Rank#78  Overall
#6  Time Series DBMS
#1  Vector DBMS
Score0.05
Rank#349  Overall
#35  Graph DBMS
Score0.17
Rank#322  Overall
#144  Relational DBMS
Websitewww.dolphindb.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.valentina-db.net
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDolphinDB, IncParadigma Software
Initial release201820091999
Current releasev2.00.4, January 20225.7.5
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like query languagenoyes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
TinkerPop 3ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Groovy
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesnoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno
Concurrency infoSupport for concurrent manipulation of datayesno
Durability infoSupport for making data persistentyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAdministrators, Users, Groupsnofine grained access rights according to SQL-standard

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More resources
DolphinDBTinkerGraphValentina Server
Recent citations in the news

Unit testing Apache TinkerPop transactions: From TinkerGraph to Amazon Neptune
3 June 2024, AWS Blog

Simple Deployment of a Graph Database: JanusGraph
12 October 2020, Towards Data Science

Why developers like Apache TinkerPop, an open source framework for graph computing
27 September 2021, AWS Blog

Introducing Gremlin query hints for Amazon Neptune
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