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DBMS > AnzoGraph DB vs. Netezza vs. Sadas Engine vs. Yandex Database

System Properties Comparison AnzoGraph DB vs. Netezza vs. Sadas Engine vs. Yandex Database

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSadas Engine  Xexclude from comparisonYandex Database  Xexclude from comparison
DescriptionScalable 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 environmentsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#264  Overall
#21  Graph DBMS
#12  RDF stores
Score20.25
Rank#36  Overall
#22  Relational DBMS
Score0.01
Rank#351  Overall
#146  Relational DBMS
Score0.56
Rank#232  Overall
#37  Document stores
#113  Relational DBMS
Websitewww.cambridgesemantics.com/­anzographwww.ibm.com/­products/­netezzawww.sadasengine.comcloud.yandex.com/­en/­services/­ydb
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbcloud.yandex.com/­en/­docs/­ydb
DeveloperCambridge SemanticsIBMSADAS s.r.l.Yandex
Initial release2018200020062019
Current release2.3, January 20218.0
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinuxLinux infoincluded in applianceAIX
Linux
Windows
hosted
Data schemeSchema-free and OWL/RDFS-schema supportyesyesFlexible Schema (defined schema, partial schema, schema free)
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.nonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesyesSQL-like query language (YQL)
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC++
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationnoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesno
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.yesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
AnzoGraph DBNetezza infoAlso called PureData System for Analytics by IBMSadas EngineYandex Database
Recent citations in the news

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

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

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

Senior Sales Engineer - GeekWork
16 November 2021, GeekWire

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

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

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

IBM finalizes purchase of Netezza Corp.
12 November 2010, Washington Technology

provided by Google News

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