DBMS > Ehcache vs. Elasticsearch vs. Microsoft Azure Table Storage

System Properties Comparison Ehcache vs. Elasticsearch vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines

Name

Description

A widely adopted Java cache with tiered storage options

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 Wide Column Store for rapid development using massive semi-structured datasets

Primary database model

Key-value store

Search engine

Wide column store

Secondary database models

Document store
Spatial DBMS

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

Score	6.47
Rank	#66	Overall
	#9	Key-value stores

Score	157.69
Rank	#8	Overall
	#1	Search engines

Score	5.35
Rank	#77	Overall
	#5	Wide column stores

Website

www.ehcache.org

www.elastic.co/elasticsearch

azure.microsoft.com/en-us/services/storage/tables

Technical documentation

www.ehcache.org/documentation

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

Developer

Terracotta Inc, owned by Software AG

Elastic

Microsoft

Initial release

2009

2010

2012

Current release

3.9.6, September 2021

7.8.0, June 2020

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

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

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

SQL

Support of SQL

SQL-like query language

APIs and other access methods

JCache

Java API
RESTful HTTP/JSON API

RESTful HTTP API

Supported programming languages

Java

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

.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

Cache Event Listeners

yes

by using the 'percolation' feature

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

Sharding

Implicit feature of the cloud service

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

yes

implicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.

MapReduce

Offers an API for user-defined Map/Reduce methods

ES-Hadoop Connector

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable Consistency (Strong, Eventual, Weak)

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

Transaction concepts

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

yes

supports JTA and can work as an XA resource

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using a tiered cache-storage approach

yes

In-memory capabilities

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

yes

Memcached and Redis integration

User concepts

Access control

Access rights based on private key authentication or shared access signatures

More information provided by the system vendor

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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

Jira Data Center user? Here's a critical Ehcache vulnerability to spoil your day
22 July 2021, The Register

Ehcache 3.0 Released with Revamped API and Off-Heap Storage
2 May 2016, InfoQ.com

Memcached surpasses EhCache and Coherence in Java Job Demand
13 September 2011, InfoQ.com

Terabyte-sized Java apps now possible
22 July 2010, InfoWorld

How to Create a Spring Boot App With Caching Enabled
1 February 2017, DZone

provided by Google News

Once frenemies, Elastic and AWS are now besties
19 May 2022, VentureBeat

Misconfigured ElasticSearch Servers Exposed 579 GB of Users' Website Activity
12 May 2022, HackRead

Elastic Announces New Capabilities to Help Customers Solve Their Biggest Business Challenges
3 May 2022, Business Wire

Former AWS engineer sets out to build a better log search engine
19 May 2022, TechCrunch

Elastic to Announce Fourth Quarter and Full Year Fiscal 2022 Earnings Results on Wednesday, June 1, 2022
17 May 2022, Business Wire

provided by Google News

How to use Azure Table storage in .Net
14 January 2019, InfoWorld

An Introduction and Tutorial for Azure Cosmos DB
25 February 2022, InfoQ.com

Writing the results from an Intune executed Powershell script to Azure Table Storage
10 May 2020, WordPress.com

Microsoft Announces Azure Chaos Studio in Public Preview
10 November 2021, InfoQ.com

The Best Cloud Storage Courses on Udemy to Consider for 2021
20 September 2021, Solutions Review

provided by Google News

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