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DBMS > AnzoGraph DB vs. Netezza vs. Quasardb vs. Splunk

System Properties Comparison AnzoGraph DB vs. Netezza vs. Quasardb vs. Splunk

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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 comparisonQuasardb  Xexclude from comparisonSplunk  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 PureSystemsDistributed, high-performance timeseries databaseAnalytics Platform for Big Data
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websitecambridgesemantics.com/­anzographwww.ibm.com/­products/­netezzaquasar.aiwww.splunk.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdoc.quasar.ai/­masterdocs.splunk.com/­Documentation/­Splunk
DeveloperCambridge SemanticsIBMquasardbSplunk Inc.
Initial release2018200020092003
Current release2.3, January 20213.14.1, January 2024
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infoLimited free edition and free developer edition 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 languageC++
Server operating systemsLinuxLinux infoincluded in applianceBSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes
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.nonoyes
Secondary indexesnoyesyes infowith tagsyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesSQL-like query languageno infoSplunk Search Processing Language for search commands
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
OLE DB
HTTP APIHTTP REST
Supported programming languagesC++
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationSource-replica replication with selectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyeswith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeno
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization conceptCryptographically strong user authentication and audit trailAccess rights for users and roles

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More resources
AnzoGraph DBNetezza infoAlso called PureData System for Analytics by IBMQuasardbSplunk
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