DBMS > Ehcache vs. FileMaker vs. NSDb

System Properties Comparison Ehcache vs. FileMaker vs. NSDb

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Editorial information provided by DB-Engines

Name

Description

A widely adopted Java cache with tiered storage options

FileMaker is a cross-platform RDBMS that includes a GUI frontend.

Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes

Primary database model

Key-value store

Relational DBMS

Time Series DBMS

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

Score	4.89
Rank	#67	Overall
	#8	Key-value stores

Score	48.20
Rank	#20	Overall
	#14	Relational DBMS

Score	0.00
Rank	#383	Overall
	#41	Time Series DBMS

Website

www.ehcache.org

www.claris.com/filemaker

nsdb.io

Technical documentation

www.ehcache.org/documentation

www.claris.com/resources/documentation

nsdb.io/Architecture

Developer

Terracotta Inc, owned by Software AG

Claris

a subsidiary of Apple

Initial release

2009

1983

2017

Current release

3.10.0, March 2022

19.4.1, November 2021

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

commercial

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Java, Scala

Server operating systems

All OS with a Java VM

iOS

client part only
Linux
OS X
Windows

Linux
macOS

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

yes: int, bigint, decimal, string

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

A http query request can return the data in XML format

Secondary indexes

yes

all fields are automatically indexed

SQL

Support of SQL

yes

via plugins

SQL-like query language

APIs and other access methods

JCache

Filemaker WebDirect
JDBC
ODBC

gRPC
HTTP REST
WebSocket

Supported programming languages

Java

PHP

Java
Scala

Server-side scripts

Stored procedures

yes

Triggers

yes

Cache Event Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

Source-replica replication, warm standby

since Version 14

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)

Eventual 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

Using Apache Lucene

In-memory capabilities

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

yes

User concepts

Access control

simple rights management via user accounts and connection to external directory services

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