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DBMS > BaseX vs. Drizzle vs. Google Cloud Datastore vs. NebulaGraph

System Properties Comparison BaseX vs. Drizzle vs. Google Cloud Datastore vs. NebulaGraph

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonNebulaGraph  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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA distributed, linear scalable, high perfomant Graph DBMS
Primary database modelNative XML DBMSRelational DBMSDocument storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#136  Overall
#4  Native XML DBMS
Score4.49
Rank#79  Overall
#12  Document stores
Score2.12
Rank#125  Overall
#10  Graph DBMS
Websitebasex.orgcloud.google.com/­datastoregithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
Technical documentationdocs.basex.orgcloud.google.com/­datastore/­docsdocs.nebula-graph.io
DeveloperBaseX GmbHDrizzle project, originally started by Brian AkerGoogleVesoft Inc.
Initial release2007200820082019
Current release10.7, August 20237.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2.0 + Common Clause 1.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
hostedLinux
Data schemeschema-freeyesschema-freeStrong typed schema
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyes, details hereyes
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 indexesyesyesyesyes 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 SQLnoyes infowith proprietary extensionsSQL-like query language (GQL)SQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBCgRPC (using protocol buffers) API
RESTful HTTP/JSON API
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
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C++
Java
PHP
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Go
Java
PHP
Python
Server-side scripts infoStored proceduresyesnousing Google App Engineuser defined functions
Triggersyes infovia eventsno infohooks for callbacks inside the server can be used.Callbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication using PaxosCausal Clustering using Raft protocol
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor pathsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role-based access control
More information provided by the system vendor
BaseXDrizzleGoogle Cloud DatastoreNebulaGraph
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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