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DBMS > AnzoGraph DB vs. Netezza vs. openGauss vs. Prometheus vs. Snowflake

System Properties Comparison AnzoGraph DB vs. Netezza vs. openGauss vs. Prometheus vs. Snowflake

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonopenGauss  Xexclude from comparisonPrometheus  Xexclude from comparisonSnowflake  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 PureSystemsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiOpen-source Time Series DBMS and monitoring systemCloud-based data warehousing service for structured and semi-structured data
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.ibm.com/­products/­netezzagitee.com/­opengauss
opengauss.org
prometheus.iowww.snowflake.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
prometheus.io/­docsdocs.snowflake.net/­manuals/­index.html
DeveloperCambridge SemanticsIBMHuawei and openGauss communitySnowflake Computing Inc.
Initial release20182000201920152014
Current release2.3, January 20213.0, March 2022
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaGo
Server operating systemsLinuxLinux infoincluded in applianceLinuxLinux
Windows
hosted
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes
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 infoImport of XML data possibleyes
Secondary indexesnoyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesANSI SQL 2011noyes
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
RESTful HTTP/JSON APICLI Client
JDBC
ODBC
Supported programming languagesC++
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Java
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyesnouser defined functions
Triggersnonoyesnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioning (by range, list and hash)Shardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationSource-replica replicationyes infoby Federationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
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.yesnonono
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standardnoUsers with fine-grained authorization concept, user roles and pluggable authentication

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

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

Cambridge Semantics Unveils AnzoGraph DB with Geospatial Analytics
19 June 2020, Solutions Review

AnzoGraph: A W3C Standards-Based Graph Database | by Jo Stichbury
8 February 2019, Towards Data Science

Back to the future: Does graph database success hang on query language?
5 March 2018, ZDNet

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1 August 2023, The Register

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

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

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