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DBMS > Netezza vs. OrientDB vs. Pinecone vs. Prometheus

System Properties Comparison Netezza vs. OrientDB vs. Pinecone vs. Prometheus

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOrientDB  Xexclude from comparisonPinecone  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsMulti-model DBMS (Document, Graph, Key/Value)A managed, cloud-native vector databaseOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Vector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.ibm.com/­products/­netezzaorientdb.orgwww.pinecone.ioprometheus.io
Technical documentationwww.orientdb.com/­docs/­last/­index.htmldocs.pinecone.io/­docs/­overviewprometheus.io/­docs
DeveloperIBMOrientDB LTD; CallidusCloud; SAPPinecone Systems, Inc
Initial release2000201020192015
Current release3.2.29, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsLinux infoincluded in applianceAll OS with a Java JDK (>= JDK 6)hostedLinux
Windows
Data schemeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
Typing infopredefined data types such as float or dateyesyesString, Number, BooleanNumeric data only
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 infoImport of XML data possible
Secondary indexesyesyesno
SQL infoSupport of SQLyesSQL-like query language, no joinsnono
APIs and other access methodsJDBC
ODBC
OLE DB
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
RESTful HTTP APIRESTful HTTP/JSON API
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Python.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesJava, Javascriptno
TriggersnoHooksno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infocould be achieved with distributed queriesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnone
Foreign keys infoReferential integritynoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.nono
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users and roles; record level security configurableno

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More resources
Netezza infoAlso called PureData System for Analytics by IBMOrientDBPineconePrometheus
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