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DBMS > Amazon Aurora vs. AnzoGraph DB vs. Netezza vs. Sadas Engine

System Properties Comparison Amazon Aurora vs. AnzoGraph DB vs. Netezza vs. Sadas Engine

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationData warehouse and analytics appliance part of IBM PureSystemsSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.10
Rank#44  Overall
#28  Relational DBMS
Score0.32
Rank#266  Overall
#21  Graph DBMS
#12  RDF stores
Score19.79
Rank#37  Overall
#22  Relational DBMS
Score0.01
Rank#347  Overall
#145  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.cambridgesemantics.com/­anzographwww.ibm.com/­products/­netezzawww.sadasengine.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperAmazonCambridge SemanticsIBMSADAS s.r.l.
Initial release2015201820002006
Current release2.3, January 20218.0
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availablecommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedLinuxLinux infoincluded in applianceAIX
Linux
Windows
Data schemeyesSchema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyesSPARQL and SPARQL* as primary query language. Cypher preview.yesyes
APIs and other access methodsADO.NET
JDBC
ODBC
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyesno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication in MPP-ClusterSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate Consistency
Foreign keys infoReferential integrityyesno infonot needed in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon AuroraAnzoGraph DBNetezza infoAlso called PureData System for Analytics by IBMSadas Engine
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Recent citations in the news

Amazon Aurora Supports MySQL 8.0
29 November 2021, InfoQ.com

AWS lights brighter path to Amazon Aurora
1 November 2021, ComputerWeekly.com

Amazon's (AMZN) AWS Gets Picked by Richemont, Clientele Grows
26 November 2021, Nasdaq

Amazon Aurora Supports PostgreSQL 13
5 September 2021, InfoQ.com

TrustLogix Brings Unique Data Security Governance Platform to AWS
26 November 2021, MarTech Series

provided by Google News

Cambridge Semantics Announces Major Upgrades to Its Award-Winning AnzoGraph® DB, Including Free Edition for Commercial Use
23 January 2020, Business Wire

AnzoGraph review: A graph database for deep analytics
15 April 2019, InfoWorld

Cambridge Semantics Announces AnzoGraphâ„¢ Graph-Based Online Analytics Support for Amazon Neptune and Graph Databases
15 February 2018, Business Wire

Cambridge Semantics Fits AnzoGraph DB with More Speed, Free Access
23 January 2020, Solutions Review

Cambridge Semantics Releases 2019 Benchmark Report Showcasing How Graph Analytics Database, AnzoGraph, Complements Graph Transactional Databases
24 January 2019, Business Wire

provided by Google News

Yellowbrick Data Raises $75 Million In New Funding Round
3 November 2021, CRN

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

IBM to Acquire Netezza for $1.78 Billion
20 September 2010, Wall Street Journal

The Accelerated Path To Petabyte-Scale Graph Databases
28 October 2021, The Next Platform

Octopai Announces Support of Tabular on Azure Analysis Services, Netezza and Vertica
9 March 2020, MarTech Series

provided by Google News

Job opportunities

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