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DBMS > AllegroGraph vs. Netezza vs. Postgres-XL vs. WakandaDB

System Properties Comparison AllegroGraph vs. Netezza vs. Postgres-XL vs. WakandaDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgres-XL  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSData warehouse and analytics appliance part of IBM PureSystemsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#215  Overall
#36  Document stores
#19  Graph DBMS
#9  RDF stores
#11  Vector DBMS
Score6.70
Rank#52  Overall
#31  Relational DBMS
Score0.41
Rank#261  Overall
#122  Relational DBMS
Score0.03
Rank#361  Overall
#17  Object oriented DBMS
Websiteallegrograph.comwww.ibm.com/­products/­netezzawww.postgres-xl.orgwakanda.github.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.postgres-xl.org/­documentationwakanda.github.io/­doc
DeveloperFranz Inc.IBMWakanda SAS
Initial release200420002014 infosince 2012, originally named StormDB2012
Current release8.0, December 202310 R1, October 20182.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoMozilla public licenseOpen Source infoAGPLv3, extended commercial license available
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.
Implementation languageCC++, JavaScript
Server operating systemsLinux
OS X
Windows
Linux infoincluded in applianceLinux
macOS
Linux
OS X
Windows
Data schemeyes infoRDF schemasyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.no infobulk load of XML files possibleyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyesyes infodistributed, parallel query executionno
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesuser defined functionsyes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoMVCCACID
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.nonono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardyes
More information provided by the system vendor
AllegroGraphNetezza infoAlso called PureData System for Analytics by IBMPostgres-XLWakandaDB
News

AllegroGraph Named a 2024 Trend Setting Product
16 September 2024

Gartner recognized Franz Inc. as a Key Neuro-Symbolic AI Provider in 2024 Hype Cycle for AI
10 September 2024

Next-Generation Cybersecurity: Integrating Knowledge Graphs and Neuro-Symbolic AI with STIX and TAXII
10 September 2024

Pruning Cycles in UMLS Metathesaurus: A Neuro Symbolic AI Approach
9 September 2024

Podcast – Gartner AI Hype Cycle – Knowledge Graphs and Neuro-Symbolic AI
24 August 2024

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More resources
AllegroGraphNetezza infoAlso called PureData System for Analytics by IBMPostgres-XLWakandaDB
Recent citations in the news

Q&A: Can Neuro-Symbolic AI Solve AI’s Weaknesses?
8 April 2024, TDWI

Embracing the Power of Knowledge Graphs at Data Summit 2023
10 May 2023, Database Trends and Applications

Why dynamically visualizing relationships in data matters
21 June 2018, InfoWorld

Is Deep Learning too superficial?
27 September 2018, AI Business

Putting data back into the hands of owners
19 December 2016, TechCrunch

provided by Google News

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime
21 August 2019, AWS Blog

Five real-life Netezza performance server use cases
29 June 2020, ibm.com

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

IBM Completes Acquisition of Netezza
26 October 2017, PR Newswire

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

provided by Google News

5 Takeaways from Big Data Spain 2017
5 December 2017, Towards Data Science

provided by Google News



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