DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Apache Pinot vs. Netezza

System Properties Comparison Apache Pinot vs. Netezza

Please select another system to include it in the comparison.

Our visitors often compare Apache Pinot and Netezza with PostgreSQL, Snowflake and Redis.

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#262  Overall
#121  Relational DBMS
Score6.45
Rank#53  Overall
#32  Relational DBMS
Websitepinot.apache.orgwww.ibm.com/­products/­netezza
Technical documentationdocs.pinot.apache.org
DeveloperApache Software Foundation and contributorsIBM
Initial release20152000
Current release1.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsAll OS with a Java JDK11 or higherLinux infoincluded in appliance
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
Secondary indexesyes
SQL infoSupport of SQLSQL-like query languageyes
APIs and other access methodsJDBCJDBC
ODBC
OLE DB
Supported programming languagesGo
Java
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes
Triggersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
User concepts infoAccess controlUsers with fine-grained authorization concept

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache PinotNetezza infoAlso called PureData System for Analytics by IBM
Recent citations in the news

Deploy real-time analytics with StarTree for managed Apache Pinot on AWS
13 March 2025, AWS Blog

Serving Millions of Apache Pinotâ„¢ Queries with Neutrino
11 December 2024, Uber

StarTree eyes observability market with Apache Pinot-based real-time engine
27 September 2024, SiliconANGLE News

Apache Pinot Brings Real Time Analysis to Columnar Data
13 December 2024, The New Stack

Apache Pinot Vulnerability Let Remote Attackers Bypass Authentication
7 March 2025, CybersecurityNews

provided by Google News

Netezza and IBM Cloud Pak for Data: A knockout combo for tough data
15 January 2025, IBM

How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)
20 December 2024, IBM

Fig. 2: IDAA System Architecture and its Integration into DB2 for zOS
23 October 2024, ResearchGate

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

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

provided by Google News



Share this page

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Present your product here