DBMS > Ehcache vs. Linter vs. PostgreSQL

System Properties Comparison Ehcache vs. Linter vs. PostgreSQL

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Editorial information provided by DB-Engines

Name

Description

A widely adopted Java cache with tiered storage options

RDBMS for high security requirements

Widely used open source RDBMS

Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL

Primary database model

Key-value store

Relational DBMS

with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.

Secondary database models

Spatial DBMS

Document store
Spatial DBMS

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

Score	6.04
Rank	#70	Overall
	#8	Key-value stores

Score	0.15
Rank	#366	Overall
	#153	Relational DBMS

Score	616.50
Rank	#4	Overall
	#4	Relational DBMS

Website

www.ehcache.org

linter.ru/en

www.postgresql.org

Technical documentation

www.ehcache.org/documentation

www.postgresql.org/docs

Developer

Terracotta Inc, owned by Software AG

relex.ru/en

PostgreSQL Global Development Group

www.postgresql.org/developer

Initial release

2009

1990

1989

1989: Postgres, 1996: PostgreSQL

Current release

3.10.0, March 2022

15.1, November 2022

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

commercial

Open Source

BSD

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C and C++

Server operating systems

All OS with a Java VM

AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows

FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows

Data scheme

schema-free

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.

yes

specific XML-type available, but no XML query functionality.

Secondary indexes

yes

SQL

Support of SQL

yes

standard with numerous extensions

APIs and other access methods

JCache

ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

Supported programming languages

Java

C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl

.Net
C
C++
Delphi
Java

JDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Server-side scripts

Stored procedures

yes

proprietary syntax with the possibility to convert from PL/SQL

user defined functions

realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.

Triggers

yes

Cache Event Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

none

partitioning by range, list and (since PostgreSQL 11) by hash

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

Source-replica replication

other methods possible by using 3rd party extensions

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable Consistency (Strong, Eventual, Weak)

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

supports JTA and can work as an XA resource

ACID

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

User concepts

Access control

fine grained access rights according to 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

3rd parties

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

More resources

DB-Engines blog posts

Snowflake is the DBMS of the Year 2022, defending the title from last year
3 January 2023, Matthias Gelbmann, Paul Andlinger

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

Driving the Future of PostgreSQL Adoption
15 November 2021, Umair Shahid, Percona (sponsor)

show all

Conferences and events

more DBMS events

PGCon 2023, PostgreSQL Conference for Users and Developers
Ottawa, Canada, 30 May 2023 - 2 June 2023

Recent citations in the news

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

Warning over Java libraries and deserialization security weaknesses
22 August 2022, The Register

Security Bulletin 03 Aug 2022
3 August 2022, Cyber Security Agency of Singapore

Setting Up Distributed Infinispan Cache with Hibernate and Spring
26 May 2016, dzone.com

Java News Roundup: JEP Updates, GraalVM Code to OpenJDK ...
24 October 2022, InfoQ.com

provided by Google News

What is PostgreSQL?
25 January 2023, Database Journal

Securing PostgreSQL from Cryptojacking Campaigns in Kubernetes
26 January 2023, CrowdStrike

Microsoft: Kubernetes clusters hacked in malware campaign via PostgreSQL
9 January 2023, BleepingComputer

Running Applications in Docker, Part 2: Table Joins in PostgreSQL
20 January 2023, Virtualization Review

10 Tips to Optimize PostgreSQL Queries in Your Django Project
11 January 2023, Security Boulevard

provided by Google News

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