DBMS > Elasticsearch vs. IBM Db2 warehouse vs. PieCloudDB

System Properties Comparison Elasticsearch vs. IBM Db2 warehouse vs. PieCloudDB

Please select another system to include it in the comparison.

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

Cloud-based data warehousing service

A cloud-native analytic database platform with new technologoy for elastic MPP

Primary database model

Search engine
Vector DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	123.81
Rank	#9	Overall
	#1	Search engines
	#1	Vector DBMS

Score	1.22
Rank	#163	Overall
	#73	Relational DBMS

Score	0.13
Rank	#336	Overall
	#148	Relational DBMS

Website

www.elastic.co/elasticsearch

www.ibm.com/products/db2/warehouse

www.openpie.com

Technical documentation

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

Developer

Elastic

IBM

OpenPie

Initial release

2010

2014

Current release

8.6, January 2023

2.1, January 2023

License

Commercial or Open Source

Open Source

Elastic License

commercial

Cloud-based only

Only available as a cloud service

yes

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

hosted

Data scheme

schema-free

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

yes

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.

Import/export of XML data possible

Secondary indexes

yes

All search fields are automatically indexed

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

Java API
RESTful HTTP/JSON API

.NET Client API
JDBC
ODBC
OLE DB

CLI Client
JDBC
ODBC

Supported programming languages

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

Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

Java
PL/SQL
Python
R

Server-side scripts

Stored procedures

yes

PL/SQL, SQL PL

user defined functions

Triggers

yes

by using the 'percolation' feature

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

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

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

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

fine grained access rights according to SQL-standard

User Roles and pluggable authentication with full SQL Standard

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

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

OpenSearch 3.0 hits: First major release under Linux Foundation as it battles ElasticSearch for mindshare
7 May 2025, devclass

OpenSearch 3.0 targets fast AI search with MCP and GPU-powered vectors
7 May 2025, Blocks and Files

OpenSearch in 2025: Much more than an Elasticsearch fork
28 April 2025, InfoWorld

Amazon OpenSearch Service announces Standard and Extended Support dates for Elasticsearch and OpenSearch versions
7 November 2024, Amazon Web Services (AWS)

Elasticsearch Now Available as a Native Grounding Engine on Google Cloud’s Vertex AI Platform
9 April 2025, Business Wire

provided by Google News

Announcing IBM Db2 and Db2 Warehouse SaaS on Azure
5 May 2025, IBM

IBM Db2 12.1.1.0 has arrived: What’s new and improved?
5 February 2025, IBM

The 10 Best Cloud Data Warehouse Solutions to Consider in 2025
1 January 2025, solutionsreview.com

A major upgrade to Db2® Warehouse on IBM Cloud®
26 June 2024, IBM

Top 7 Cloud Data Warehouse Companies
31 May 2023, Datamation

provided by Google News

Share this page