DBMS > Elasticsearch vs. Netezza vs. YottaDB

System Properties Comparison Elasticsearch vs. Netezza vs. YottaDB

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Editorial information provided by DB-Engines

Name

Description

A distributed, RESTful modern search and analytics engine based on Apache Lucene

Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric

Data warehouse and analytics appliance part of IBM PureSystems

A fast and solid embedded Key-value store

Primary database model

Search engine
Vector DBMS

Relational DBMS

Key-value store

Secondary database models

Document store
Spatial DBMS

Relational DBMS

using the Octo plugin

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	134.63
Rank	#8	Overall
	#1	Search engines
	#1	Vector DBMS

Score	6.51
Rank	#53	Overall
	#31	Relational DBMS

Score	0.18
Rank	#312	Overall
	#45	Key-value stores

Website

www.elastic.co/elasticsearch

www.ibm.com/products/netezza

yottadb.com

Technical documentation

www.elastic.co/guide/en/elasticsearch/reference/current/index.html

yottadb.com/resources/documentation

Developer

Elastic

IBM

YottaDB, LLC

Initial release

2010

2000

2001

Current release

8.6, January 2023

License

Commercial or Open Source

Open Source

Elastic License

commercial

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

All OS with a Java VM

Linux

included in appliance

Docker
Linux

Data scheme

schema-free

Flexible type definitions. Once a type is defined, it is persistent

yes

schema-free

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

All search fields are automatically indexed

yes

SQL

Support of SQL

SQL-like query language

yes

by using the Octo plugin

APIs and other access methods

Java API
RESTful HTTP/JSON API

JDBC
ODBC
OLE DB

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby

C
C++
Fortran
Java
Lua
Perl
Python
R

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

Memcached and Redis integration

yes

User concepts

Access control

Users with fine-grained authorization concept

Users and groups based on OS-security mechanisms

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More resources

DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Recent citations in the news

Amazon OpenSearch Service announces Standard and Extended Support dates for Elasticsearch and OpenSearch versions
7 November 2024, AWS Blog

The Elasticsearch cloud now subject to open-source licence
3 September 2024, TechHQ

Elasticsearch will be open source again as CTO declares changed landscape
2 September 2024, DevClass

Elastic Introduces Better Binary Quantization Technique in Elasticsearch
11 November 2024, Business Wire

Elasticsearch Was Great, But Vector Databases Are the Future
18 November 2024, The New Stack

provided by Google News

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

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

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.com

provided by Google News

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