DBMS > Elasticsearch vs. Oracle NoSQL vs. Tkrzw

System Properties Comparison Elasticsearch vs. Oracle NoSQL vs. Tkrzw

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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

A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes

A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet

Primary database model

Search engine
Vector DBMS

Document store
Key-value store
Relational DBMS

Key-value store

Secondary database models

Document store
Spatial DBMS

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

Score	131.85
Rank	#8	Overall
	#1	Search engines
	#1	Vector DBMS

Score	3.27
Rank	#83	Overall
	#15	Document stores
	#11	Key-value stores
	#45	Relational DBMS

Score	0.00
Rank	#388	Overall
	#62	Key-value stores

Website

www.elastic.co/elasticsearch

www.oracle.com/database/nosql/technologies/nosql

dbmx.net/tkrzw

Technical documentation

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

docs.oracle.com/en/database/other-databases/nosql-database/index.html

Developer

Elastic

Oracle

Mikio Hirabayashi

Initial release

2010

2011

2020

Current release

8.6, January 2023

24.1, May 2024

0.9.3, August 2020

License

Commercial or Open Source

Open Source

Elastic License

Open Source

Proprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)

Open Source

Apache Version 2.0

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

C++

Server operating systems

All OS with a Java VM

Linux
Solaris SPARC/x86

Linux
macOS

Data scheme

schema-free

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

Support Fixed schema and Schema-less deployment with the ability to interoperate between them.

schema-free

Typing

predefined data types such as float or date

yes

optional

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

SQL-like DML and DDL statements

APIs and other access methods

Java API
RESTful HTTP/JSON API

RESTful HTTP API

Supported programming languages

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

C
C#
Go
Java
JavaScript (Node.js)
Python

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

by using the 'percolation' feature

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Electable source-replica replication per shard. Support distributed global deployment with Multi-region table feature

none

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

with Hadoop integration

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

Eventual Consistency
Immediate Consistency

depending on configuration

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

configurable

ACID within a storage node (=shard)

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

off heap cache

yes

using specific database classes

User concepts

Access control

Access rights for users and roles

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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

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Recent citations in the news

AWS hands OpenSearch to Linux Foundation – is this why Elasticsearch was made open source again?
16 September 2024, DevClass

Elastic returns to open source, but can it regain the community’s trust? Some industry players aren’t holding their breath
6 September 2024, ITPro

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

Elasticsearch Open Inference API Now Supports Mistral AI Embeddings
1 August 2024, Business Wire

Elastic Announces Open Source License for Elasticsearch and Kibana Source Code
3 September 2024, Datanami

provided by Google News

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24 July 2024, TechTarget

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9 September 2024, AIM

What Is NoSQL Database?
2 October 2018, blogs.oracle.com

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4 September 2018, oracle.com

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1 October 2012, WIRED

provided by Google News

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