DBMS > Ehcache vs. Kdb

System Properties Comparison Ehcache vs. Kdb

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Editorial information provided by DB-Engines

Name

Description

A widely adopted Java cache with tiered storage options

High performance Time Series DBMS

Primary database model

Key-value store

Time Series DBMS
Vector DBMS

Secondary database models

Relational DBMS

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

Score	4.22
Rank	#66	Overall
	#8	Key-value stores

Score	7.10
Rank	#48	Overall
	#2	Time Series DBMS
	#4	Vector DBMS

Website

www.ehcache.org

kx.com

Technical documentation

www.ehcache.org/documentation

code.kx.com

Developer

Terracotta Inc, owned by Software AG

Kx Systems, a division of First Derivatives plc

Initial release

2009

2000

kdb was released 2000, kdb+ in 2003

Current release

3.10.0, March 2022

3.6, May 2018

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

commercial

free 32-bit version

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

All OS with a Java VM

Linux
OS X
Solaris
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

Secondary indexes

yes

table attribute 'grouped'

SQL

Support of SQL

SQL-like query language (q)

APIs and other access methods

JCache

HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket

Supported programming languages

Java

C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala

Server-side scripts

Stored procedures

user defined functions

Triggers

yes

Cache Event Listeners

yes

with views

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

similar paradigm used for internal processing

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

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

rights management via user accounts

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