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DBMS > Netezza vs. PouchDB vs. SiriDB vs. Trino

System Properties Comparison Netezza vs. PouchDB vs. SiriDB vs. Trino

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPouchDB  Xexclude from comparisonSiriDB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsJavaScript DBMS with an API inspired by CouchDBOpen Source Time Series DBMSFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSDocument storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score5.28
Rank#61  Overall
#35  Relational DBMS
Websitewww.ibm.com/­products/­netezzapouchdb.comsiridb.comtrino.io
Technical documentationpouchdb.com/­guidesdocs.siridb.comtrino.io/­broadcast
trino.io/­docs/­current
DeveloperIBMApache Software FoundationCesbitTrino Software Foundation
Initial release2000201220172012 info2020 rebranded from PrestoSQL
Current release7.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0
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 languageJavaScriptCJava
Server operating systemsLinux infoincluded in applianceserver-less, requires a JavaScript environment (browser, Node.js)LinuxLinux
macOS infofor devlopment
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyes infoNumeric datayes
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 indexesyesyes infovia viewsyesdepending on connected data-source
SQL infoSupport of SQLyesnonoyes
APIs and other access methodsJDBC
ODBC
OLE DB
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP APIJDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
JavaScriptC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresyesView functions in JavaScriptnoyes, depending on connected data-source
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yesdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencydepending on connected data-source
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers with fine-grained authorization conceptnosimple rights management via user accountsSQL standard access control
More information provided by the system vendor
Netezza infoAlso called PureData System for Analytics by IBMPouchDBSiriDBTrino
News

23 is a go, keeping pace with Java
17 September 2024

65: Performance boosts
12 September 2024

64: Control with Open Policy Agent OPA
22 August 2024

63: Querying with JS
1 August 2024

62: A lakehouse that simply works at Prezi
11 July 2024

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More resources
Netezza infoAlso called PureData System for Analytics by IBMPouchDBSiriDBTrino
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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Recent citations in the news

Unify and share data across Netezza and watsonx.data for new generative AI applications
21 June 2024, ibm.com

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime
21 August 2019, AWS Blog

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Copy data from Netezza to Azure with Azure Data Factory
9 September 2019, Microsoft

IBM Completes Acquisition of Netezza
11 November 2010, PR Newswire

provided by Google News

Getting Started with PouchDB Client-Side JavaScript Database
7 September 2016, SitePoint

Create Offline Web Apps Using Service Workers & PouchDB
7 March 2017, SitePoint

Building an Offline First App with PouchDB
10 March 2014, SitePoint

provided by Google News

The Perfect AI Storage: Trino From Facebook And Iceberg From Netflix?
30 April 2024, The Next Platform

A look at Presto, Trino SQL query engines
9 August 2022, TechTarget

Trino: The Open-source Data Query Engine That Split from Facebook
30 March 2022, hackernoon.com

Query big data with resilience using Trino in Amazon EMR with Amazon EC2 Spot Instances for less cost
4 October 2023, AWS Blog

Starburst accelerates Trino to ‘Warp Speed’ to accelerate data querying
8 February 2023, VentureBeat

provided by Google News



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