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DBMS > AnzoGraph DB vs. InfluxDB vs. Netezza vs. XTDB

System Properties Comparison AnzoGraph DB vs. InfluxDB vs. Netezza vs. XTDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonInfluxDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationDBMS for storing time series, events and metricsData warehouse and analytics appliance part of IBM PureSystemsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelGraph DBMS
RDF store
Time Series DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.13
Rank#330  Overall
#45  Document stores
Websitecambridgesemantics.com/­anzographwww.influxdata.com/­products/­influxdb-overviewwww.ibm.com/­products/­netezzagithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.influxdata.com/­influxdbwww.xtdb.com/­docs
DeveloperCambridge SemanticsIBMJuxt Ltd.
Initial release2018201320002019
Current release2.3, January 20212.7.6, April 20241.19, September 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoMIT License
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 languageGoClojure
Server operating systemsLinuxLinux
OS X infothrough Homebrew
Linux infoincluded in applianceAll OS with a Java 8 (and higher) VM
Linux
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyes, extensible-data-notation format
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 indexesnonoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query languageyeslimited SQL, making use of Apache Calcite
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HTTP API
JSON over UDP
JDBC
ODBC
OLE DB
HTTP REST
JDBC
Supported programming languagesC++
Java
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Clojure
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infoin enterprise version onlyShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factor infoin enterprise version onlySource-replica replicationyes, each node contains all data
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-Cluster
Foreign keys infoReferential integrityno infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engine
User concepts infoAccess controlAccess rights for users and rolessimple rights management via user accountsUsers with fine-grained authorization concept
More information provided by the system vendor
AnzoGraph DBInfluxDBNetezza infoAlso called PureData System for Analytics by IBMXTDB infoformerly named Crux
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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