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DBMS > HBase vs. Microsoft Azure Table Storage vs. NebulaGraph vs. RDF4J

System Properties Comparison HBase vs. Microsoft Azure Table Storage vs. NebulaGraph vs. RDF4J

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonNebulaGraph  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableA Wide Column Store for rapid development using massive semi-structured datasetsA distributed, linear scalable, high perfomant Graph DBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelWide column storeWide column storeGraph DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.25
Rank#26  Overall
#2  Wide column stores
Score4.92
Rank#73  Overall
#6  Wide column stores
Score2.12
Rank#125  Overall
#10  Graph DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Websitehbase.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
rdf4j.org
Technical documentationhbase.apache.org/­book.htmldocs.nebula-graph.iordf4j.org/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoftVesoft Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2008201220192004
Current release2.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinux
Unix
Windows infousing Cygwin
hostedLinuxLinux
OS X
Unix
Windows
Data schemeschema-free, schema definition possibleschema-freeStrong typed schemayes infoRDF Schemas
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyes
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 indexesnonoyes 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 SQLnonoSQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP API
Thrift
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
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Go
Java
PHP
Python
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in Javanouser defined functionsyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Causal Clustering using Raft protocolnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)optimistic lockingACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights based on private key authentication or shared access signaturesRole-based access controlno
More information provided by the system vendor
HBaseMicrosoft Azure Table StorageNebulaGraphRDF4J infoformerly known as Sesame
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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HBaseMicrosoft Azure Table StorageNebulaGraphRDF4J infoformerly known as Sesame
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