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DBMS > AnzoGraph DB vs. Netezza vs. OrigoDB vs. Trino

System Properties Comparison AnzoGraph DB vs. Netezza vs. OrigoDB vs. Trino

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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 comparisonOrigoDB  Xexclude from comparisonTrino  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 PureSystemsA fully ACID in-memory object graph databaseFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
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
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.ibm.com/­products/­netezzaorigodb.comtrino.io
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmorigodb.com/­docstrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperCambridge SemanticsIBMRobert Friberg et alTrino Software Foundation
Initial release201820002009 infounder the name LiveDB2012 info2020 rebranded from PrestoSQL
Current release2.3, January 2021
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageC#Java
Server operating systemsLinuxLinux infoincluded in applianceLinux
Windows
Linux
macOS infofor devlopment
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes
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.nono infocan be achieved using .NETno
Secondary indexesnoyesyesdepending on connected data-source
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesnoyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
OLE DB
.NET Client API
HTTP API
LINQ
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC++
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
.NetGo
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyesyes, depending on connected data-source
Triggersnonoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizeddepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationSource-replica replicationdepending on connected data-source
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-Clusterdepending on connected data-source
Foreign keys infoReferential integrityno infonot needed in graphsnodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization conceptRole based authorizationSQL standard access control
More information provided by the system vendor
AnzoGraph DBNetezza infoAlso called PureData System for Analytics by IBMOrigoDBTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
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Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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

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

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

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27 May 2020, AWS Blog

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29 June 2020, Datanami

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