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DBMS > Amazon Neptune vs. AnzoGraph DB vs. HBase vs. Transwarp ArgoDB

System Properties Comparison Amazon Neptune vs. AnzoGraph DB vs. HBase vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonHBase  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationWide-column store based on Apache Hadoop and on concepts of BigTableDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelGraph DBMS
RDF store
Graph DBMS
RDF store
Wide column storeRelational DBMS
Secondary database modelsSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websiteaws.amazon.com/­neptunecambridgesemantics.com/­anzographhbase.apache.orgwww.transwarp.cn/­en/­product/­argodb
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmhbase.apache.org/­book.htmldocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperAmazonCambridge SemanticsApache Software Foundation infoApache top-level project, originally developed by PowersetTranswarp
Initial release201720182008
Current release2.3, January 20212.3.4, January 2021
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedLinuxLinux
Unix
Windows infousing Cygwin
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyes
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 indexesnononoyes
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.noyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Java API
RESTful HTTP API
Thrift
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++
Java
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes infoCoprocessors in Java
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replication in MPP-ClusterMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsno infonot needed in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
Amazon NeptuneAnzoGraph DBHBaseTranswarp ArgoDB
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