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DBMS > ArangoDB vs. DolphinDB vs. Graph Engine vs. NebulaGraph vs. Tkrzw

System Properties Comparison ArangoDB vs. DolphinDB vs. Graph Engine vs. NebulaGraph vs. Tkrzw

Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonNebulaGraph  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.DolphinDB 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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA distributed, linear scalable, high perfomant Graph DBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Time Series DBMSGraph DBMS
Key-value store
Graph DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#88  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score2.23
Rank#116  Overall
#10  Graph DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitearangodb.comwww.dolphindb.comwww.graphengine.iogithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
dbmx.net/­tkrzw
Technical documentationdocs.arangodb.comdocs.dolphindb.cn/­en/­help200/­index.htmlwww.graphengine.io/­docs/­manualdocs.nebula-graph.io
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperArangoDB Inc.DolphinDB, IncMicrosoftVesoft Inc.Mikio Hirabayashi
Initial release20122018201020192020
Current release3.11.5, November 2023v2.00.4, January 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercial infofree community version availableOpen Source infoMIT LicenseOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source infoApache Version 2.0
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.
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Implementation languageC++C++.NET and CC++C++
Server operating systemsLinux
OS X
Windows
Linux
Windows
.NETLinuxLinux
macOS
Data schemeschema-free infoautomatically recognizes schema within a collectionyesyesStrong typed schemaschema-free
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyesyesno
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
Secondary indexesyesyesyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.
SQL infoSupport of SQLnoSQL-like query languagenoSQL-like query languageno
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
RESTful HTTP APIBrowser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#
C++
F#
Visual Basic
.Net
C++
Go
Java
PHP
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresJavaScriptyesyesuser defined functionsno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0horizontal partitioninghorizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factoryesCausal Clustering using Raft protocolnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infousing specific database classes
User concepts infoAccess controlyesAdministrators, Users, GroupsRole-based access controlno
More information provided by the system vendor
ArangoDBDolphinDBGraph Engine infoformer name: TrinityNebulaGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
NebulaGraph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Social networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Companies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
At our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
NebulaGraph is open source and free to use under Apache 2.0 license.
» more

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More resources
ArangoDBDolphinDBGraph Engine infoformer name: TrinityNebulaGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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