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DBMS > Amazon Neptune vs. Amazon SimpleDB vs. Apache Phoenix vs. BaseX vs. BigchainDB

System Properties Comparison Amazon Neptune vs. Amazon SimpleDB vs. Apache Phoenix vs. BaseX vs. BigchainDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonBaseX  Xexclude from comparisonBigchainDB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreA scale-out RDBMS with evolutionary schema built on Apache HBaseLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.BigchainDB is scalable blockchain database offering decentralization, immutability and native assets
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSNative XML DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.88
Rank#133  Overall
#23  Key-value stores
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Websiteaws.amazon.com/­neptuneaws.amazon.com/­simpledbphoenix.apache.orgbasex.orgwww.bigchaindb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.aws.amazon.com/­simpledbphoenix.apache.orgdocs.basex.orgbigchaindb.readthedocs.io/­en/­latest
DeveloperAmazonAmazonApache Software FoundationBaseX GmbH
Initial release20172007201420072016
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201910.7, August 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoBSD licenseOpen Source infoAGPL v3
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaPython
Server operating systemshostedhostedLinux
Unix
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesno infoXQuery supports typesno
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 indexesnoyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIJDBCJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
CLI Client
RESTful HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Go
Haskell
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functionsyes
Triggersnononoyes infovia events
Partitioning methods infoMethods for storing different data on different nodesnonenone infoSharding must be implemented in the applicationShardingnoneSharding
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.yesMulti-source replication
Source-replica replication
noneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes,with MongoDB ord RethinkDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
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 roles can be defined via the AWS Identity and Access Management (IAM)Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers with fine-grained authorization concept on 4 levelsyes

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More resources
Amazon NeptuneAmazon SimpleDBApache PhoenixBaseXBigchainDB
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