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DBMS > AnzoGraph DB vs. InfinityDB vs. Netezza vs. Sadas Engine

System Properties Comparison AnzoGraph DB vs. InfinityDB vs. Netezza vs. Sadas Engine

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonInfinityDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA Java embedded Key-Value Store which extends the Java Map interfaceData warehouse and analytics appliance part of IBM PureSystemsSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelGraph DBMS
RDF store
Key-value storeRelational DBMSRelational 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
Score0.04
Rank#325  Overall
#50  Key-value stores
Score20.25
Rank#36  Overall
#22  Relational DBMS
Score0.01
Rank#351  Overall
#146  Relational DBMS
Websitewww.cambridgesemantics.com/­anzographboilerbay.comwww.ibm.com/­products/­netezzawww.sadasengine.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmboilerbay.com/­infinitydb/­manualwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperCambridge SemanticsBoiler Bay Inc.IBMSADAS s.r.l.
Initial release2018200220002006
Current release2.3, January 20214.08.0
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinuxAll OS with a Java VMLinux infoincluded in applianceAIX
Linux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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 indexesnono infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyesyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
Supported programming languagesC++
Java
Python
JavaC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusternoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsno infomanual creation possible, using inversions based on multi-value capabilitynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
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.yesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users and rolesnoUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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More resources
AnzoGraph DBInfinityDBNetezza infoAlso called PureData System for Analytics by IBMSadas Engine
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 AnzoGraph™ 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

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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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