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DBMS > BaseX vs. Drizzle vs. Nebula Graph vs. Spark SQL

System Properties Comparison BaseX vs. Drizzle vs. Nebula Graph vs. Spark SQL

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonDrizzle  Xexclude from comparisonNebula Graph  Xexclude from comparisonSpark SQL  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A distributed, linear scalable, high perfomant Graph DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelNative XML DBMSRelational DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.84
Rank#129  Overall
#4  Native XML DBMS
Score0.43
Rank#234  Overall
#19  Graph DBMS
Score18.63
Rank#34  Overall
#21  Relational DBMS
Websitebasex.orggithub.com/­vesoft-inc/­nebula
nebula-graph.io
spark.apache.org/­sql
Technical documentationdocs.basex.orgdocs.nebula-graph.iospark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBaseX GmbHDrizzle project, originally started by Brian AkerVesoft Inc.Apache Software Foundation
Initial release2007200820192014
Current release9.4.3, September 20207.2.4, September 20123.0.1, October 2020
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoGNU GPLOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source infoApache 2.0
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 languageJavaC++C++Scala
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
LinuxLinux
OS X
Windows
Data schemeschema-freeyesStrong typed schemayes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesyes
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 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.no
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBCBrowser interface
console (shell)
Proprietary native API
Query language nGQL
JDBC
ODBC
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C++
Java
PHP
C++
Go
Java
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnono
Triggersyes infovia eventsno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Causal Clustering using Raft protocolnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsPluggable authentication mechanisms infoe.g. LDAP, HTTPRole-based access controlno
More information provided by the system vendor
BaseXDrizzleNebula GraphSpark SQL
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

How to Migrage Data from Neo4j to Nebula Graph with Nebula Graph Exchange
17 September 2020

Nebula Graph 1.0 Benchmark Report based on the LDBC Dataset
11 September 2020

Pick of the Week at Nebula Graph - Nebula Graph DBaaS is Public for Beta Test
11 September 2020

Analyzing Relationships in Game of Thrones With NetworkX, Gephi, and Nebula Graph (Part Two)
10 September 2020

Pick of the Week at Nebula Graph - DB-Engines Graph DBMS Ranking Update in September
4 September 2020

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