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

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

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonBangdb  Xexclude from comparisonBaseX  Xexclude from comparisonBigchainDB  Xexclude from comparison
DescriptionHosted 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 HBaseConverged and high performance database for device data, events, time series, document and graphLight-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 modelKey-value storeRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Native XML DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Websiteaws.amazon.com/­simpledbphoenix.apache.orgbangdb.combasex.orgwww.bigchaindb.com
Technical documentationdocs.aws.amazon.com/­simpledbphoenix.apache.orgdocs.bangdb.comdocs.basex.orgbigchaindb.readthedocs.io/­en/­latest
DeveloperAmazonApache Software FoundationSachin Sinha, BangDBBaseX GmbH
Initial release20072014201220072016
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019BangDB 2.0, October 202111.0, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSD 3Open Source infoBSD licenseOpen Source infoAGPL v3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++JavaPython
Server operating systemshostedLinux
Unix
Windows
LinuxLinux
OS X
Windows
Linux
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyes: string, long, double, int, geospatial, stream, eventsno 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 indexesyes infoAll columns are indexed automaticallyyesyes infosecondary, composite, nested, reverse, geospatialyes
SQL infoSupport of SQLnoyesSQL like support with command line toolnono
APIs and other access methodsRESTful HTTP APIJDBCProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
CLI Client
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
Python
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 proceduresnouser defined functionsnoyes
Triggersnonoyes, Notifications (with Streaming only)yes infovia events
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
selectable replication factor, Knob for CAP (enterprise version only)noneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual ConsistencyTunable consistency, set CAP knob accordingly
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyesyes, implements WAL (Write ahead log) as wellyesyes,with MongoDB ord RethinkDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only mode
User concepts infoAccess controlAccess 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-tenancyyes (enterprise version only)Users with fine-grained authorization concept on 4 levelsyes

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More resources
Amazon SimpleDBApache PhoenixBangdbBaseXBigchainDB
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