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DBMS > Amazon SimpleDB vs. BigchainDB vs. Brytlyt vs. NuoDB vs. Spark SQL

System Properties Comparison Amazon SimpleDB vs. BigchainDB vs. Brytlyt vs. NuoDB vs. Spark SQL

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonNuoDB  Xexclude from comparisonSpark SQL  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 ScioreBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLNuoDB is a webscale distributed database that supports SQL and ACID transactionsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeDocument storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.bigchaindb.combrytlyt.iowww.3ds.com/­nuodb-distributed-sql-databasespark.apache.org/­sql
Technical documentationdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestdocs.brytlyt.iodoc.nuodb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazonBrytlytDassault Systèmes infooriginally NuoDB, Inc.Apache Software Foundation
Initial release20072016201620132014
Current release5.0, August 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercialcommercial infolimited edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC, C++ and CUDAC++Scala
Server operating systemshostedLinuxLinux
OS X
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenonoyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyes infoAll columns are indexed automaticallyyesyesno
SQL infoSupport of SQLnonoyesyesSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APICLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLJava, SQLno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingdata is dynamically stored/cached on the nodes where it is read/writtenyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorSource-replica replicationyes infoManaged transparently by NuoDBnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTemporary tableno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative Usersno

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More resources
Amazon SimpleDBBigchainDBBrytlytNuoDBSpark SQL
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