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DBMS > Apache IoTDB vs. Blazegraph vs. CouchDB vs. Netezza

System Properties Comparison Apache IoTDB vs. Blazegraph vs. CouchDB vs. Netezza

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelTime Series DBMSGraph DBMS
RDF store
Document storeRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.81
Rank#213  Overall
#19  Graph DBMS
#8  RDF stores
Score8.30
Rank#47  Overall
#7  Document stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websiteiotdb.apache.orgblazegraph.comcouchdb.apache.orgwww.ibm.com/­products/­netezza
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwiki.blazegraph.comdocs.couchdb.org/­en/­stable
DeveloperApache Software FoundationBlazegraphApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerIBM
Initial release2018200620052000
Current release1.1.0, April 20232.1.5, March 20193.3.3, December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license availableOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaErlang
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
Linux infoincluded in appliance
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesnoyes
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
Secondary indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLSQL-like query languageSPARQL is used as query languagenoyes
APIs and other access methodsJDBC
Native API
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
RESTful HTTP/JSON APIJDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyesyesView functions in JavaScriptyes
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding infoimproved architecture with release 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno infoatomic operations within a single document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyes
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.yesno
User concepts infoAccess controlyesSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users can be defined per databaseUsers with fine-grained authorization concept

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