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DBMS > Amazon Aurora vs. ArcadeDB vs. Drizzle vs. Netezza vs. Riak TS

System Properties Comparison Amazon Aurora vs. ArcadeDB vs. Drizzle vs. Netezza vs. Riak TS

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonArcadeDB  Xexclude from comparisonDrizzle  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRiak TS  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Data warehouse and analytics appliance part of IBM PureSystemsRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score0.09
Rank#355  Overall
#48  Document stores
#37  Graph DBMS
#52  Key-value stores
#34  Time Series DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Score0.25
Rank#308  Overall
#26  Time Series DBMS
Websiteaws.amazon.com/­rds/­auroraarcadedb.comwww.ibm.com/­products/­netezza
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.arcadedb.comwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperAmazonArcade DataDrizzle project, originally started by Brian AkerIBMOpen Source, formerly Basho Technologies
Initial release20152021200820002015
Current releaseSeptember 20217.2.4, September 20123.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGNU GPLcommercialOpen Source
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 languageJavaC++Erlang
Server operating systemshostedAll OS with a Java VMFreeBSD
Linux
OS X
Linux infoincluded in applianceLinux
OS X
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.yesnono
Secondary indexesyesyesyesyesrestricted
SQL infoSupport of SQLyesSQL-like query language, no joinsyes infowith proprietary extensionsyesyes, limited
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
JDBCJDBC
ODBC
OLE DB
HTTP API
Native Erlang Interface
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaC
C++
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyesnoyesErlang
Triggersyesno infohooks for callbacks inside the server can be used.noyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes inforelationship in graphsyesnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers with fine-grained authorization conceptno

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More resources
Amazon AuroraArcadeDBDrizzleNetezza infoAlso called PureData System for Analytics by IBMRiak TS
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Recent citations in the news

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1 August 2023, The Register

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27 May 2020, AWS Blog

U.S. Navy Chooses Yellowbrick, Sunsets IBM Netezza
22 March 2023, Business Wire

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

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NoSQL pioneer Basho stamps its mark on time stamp data with Riak TS
6 October 2015, The Register

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5 May 2016, TechCrunch

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