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DBMS > Dolt vs. HugeGraph vs. NebulaGraph vs. Sequoiadb vs. Spark SQL

System Properties Comparison Dolt vs. HugeGraph vs. NebulaGraph vs. Sequoiadb vs. Spark SQL

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonHugeGraph  Xexclude from comparisonNebulaGraph  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaA fast-speed and highly-scalable Graph DBMSA distributed, linear scalable, high perfomant Graph DBMSNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSGraph DBMSGraph DBMSDocument store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score2.23
Rank#116  Overall
#10  Graph DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
github.com/­hugegraph
hugegraph.apache.org
github.com/­vesoft-inc/­nebula
www.nebula-graph.io
www.sequoiadb.comspark.apache.org/­sql
Technical documentationdocs.dolthub.comhugegraph.apache.org/­docsdocs.nebula-graph.iowww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDoltHub IncBaiduVesoft Inc.Sequoiadb Ltd.Apache Software Foundation
Initial release20182018201920132014
Current release0.93.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0 + Common Clause 1.0Open Source infoServer: AGPL; Client: Apache V2Open Source infoApache 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.
Implementation languageGoJavaC++C++Scala
Server operating systemsLinux
macOS
Windows
Linux
macOS
Unix
LinuxLinuxLinux
OS X
Windows
Data schemeyesyesStrong typed schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regexyes
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.nonononono
Secondary indexesyesyes infoalso supports composite index and range indexyes 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.yesno
SQL infoSupport of SQLyesnoSQL-like query languageSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsCLI Client
HTTP REST
Java API
RESTful HTTP API
TinkerPop Gremlin
Browser 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
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Groovy
Java
Python
.Net
C++
Go
Java
PHP
Python
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseasynchronous Gremlin script jobsuser defined functionsJavaScriptno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes infodepending on used storage backend, e.g. Cassandra and HBaseCausal Clustering using Raft protocolSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupUsers, roles and permissionsRole-based access controlsimple password-based access controlno
More information provided by the system vendor
DoltHugeGraphNebulaGraphSequoiadbSpark SQL
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Competitive advantagesNebulaGraph 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 customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more

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DoltHugeGraphNebulaGraphSequoiadbSpark SQL
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