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DBMS > DolphinDB vs. Graph Engine vs. Nebula Graph vs. Sqrrl

System Properties Comparison DolphinDB vs. Graph Engine vs. Nebula Graph vs. Sqrrl

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonNebula Graph  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languageA 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 DBMSAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelTime Series DBMSGraph DBMS
Key-value store
Graph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.01
Rank#172  Overall
#11  Time Series DBMS
Score0.74
Rank#204  Overall
#18  Graph DBMS
#32  Key-value stores
Score1.10
Rank#167  Overall
#15  Graph DBMS
Websitewww.dolphindb.comwww.graphengine.iogithub.com/­vesoft-inc/­nebula
nebula-graph.io
sqrrl.com
Technical documentationwww.dolphindb.com/­helpwww.graphengine.io/­docs/­manualdocs.nebula-graph.io
DeveloperDolphinDB, IncMicrosoftVesoft Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release2018201020192012
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoMIT LicenseOpen Source infoApache Version 2.0 + Common Clause 1.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++.NET and CC++Java
Server operating systemsLinux
Windows
.NETLinuxLinux
Data schemeyesStrong typed schemaschema-free
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.nonono
Secondary indexesnoyes 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.yes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIBrowser interface
console (shell)
Proprietary native API
Query language nGQL
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
C++
Java
JavaScript
Python
R
C#
C++
F#
Visual Basic
C++
Go
Java
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyesyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesCausal Clustering using Raft protocolselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 storageyes infousing RocksDByes
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, GroupsRole-based access controlCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
DolphinDBGraph Engine infoformer name: TrinityNebula GraphSqrrl
Specific characteristicsNebula Graph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebula Graph boasts the world's only graph database solution that is able to host...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
Key customersCurrently we have some top internet companies in China implementing Nebula Graph...
» more
Market metricsAt our very early stage, Nebula Graph has already received 3.5k stars and thousands...
» more
Licensing and pricing modelsNebula Graph is open source and free to use under Apache 2.0 license and Common Clause...
» more
News

Practicing Nebula Operator on Cloud
21 July 2021

BDD-Based Integration Testing Framework for Nebula Graph: Part II
15 July 2021

Understanding Subgraph in Nebula Graph 2.0
8 July 2021

Validating Import Performance of Nebula Importer
1 July 2021

Full-Text Indexing in Nebula Graph 2.0
25 June 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DolphinDBGraph Engine infoformer name: TrinityNebula GraphSqrrl
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