DBMS > FileMaker vs. HarperDB vs. RDF4J vs. searchxml

System Properties Comparison FileMaker vs. HarperDB vs. RDF4J vs. searchxml

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Editorial information provided by DB-Engines

Name

Description

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

A distributed database focused on speed and ease of use. It has an intuitive REST API, and supports NoSQL and SQL including joins. HarperDB leverages standard interfaces, and users can be up and running in minutes.

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

DBMS for structured and unstructured content wrapped with an application server

Primary database model

Relational DBMS

Document store

RDF store

Native XML DBMS
Search engine

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

Score	52.27
Rank	#22	Overall
	#14	Relational DBMS

Score	0.52
Rank	#238	Overall
	#37	Document stores

Score	0.73
Rank	#204	Overall
	#9	RDF stores

Score	0.00
Rank	#354	Overall
	#7	Native XML DBMS
	#21	Search engines

Website

www.claris.com/filemaker

harperdb.io

rdf4j.org

www.searchxml.net/category/products

Technical documentation

www.claris.com/resources/documentation

harperdb.io/developers/documentation/overview

rdf4j.org/documentation

www.searchxml.net/support/handouts

Developer

FileMaker

a subsidiary of Apple

HarperDB

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

informationpartners gmbh

Initial release

1983

2017

2004

2015

Current release

19.4.1, November 2021

3.1, August 2021

1.0

License

Commercial or Open Source

commercial

free community edition available

Open Source

Eclipse Distribution License (EDL), v1.0.

commercial

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

Node.js

Java

C++

Server operating systems

iOS
OS X
Windows

Linux
OS X

Linux
OS X
Unix
Windows

Windows

Data scheme

yes

dynamic schema

yes

RDF Schemas

schema-free

Typing

predefined data types such as float or date

yes

JSON data types

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

A http query request can return the data in XML format

yes

Secondary indexes

yes

SQL

Support of SQL

yes

via plugins

SQL-like data manipulation statements

APIs and other access methods

Filemaker WebDirect
JDBC
ODBC

JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

RESTful HTTP API
WebDAV
XQuery
XSLT

Supported programming languages

PHP

.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift

Java
PHP
Python

C++

most other programming languages supported via APIs

Server-side scripts

Stored procedures

yes

Custom Functions

since release 3.1

yes

on the application server

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

A table resides as a whole on one (or more) nodes in a cluster

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication, warm standby

since Version 14

yes

the nodes on which a table resides can be defined

none

yes

sychronisation to multiple collections

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Atomic execution of specific operations

ACID

Isolation support depends on the API used

multiple readers, single writer

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes, using LMDB

yes

in-memory storage is supported as well

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

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

Access rights for users and roles

Domain, group and role-based access control at the document level and for application services

More information provided by the system vendor

Specific characteristics

HarperDB is the first distributed database with hybrid SQL & NoSQL functionality...
» more

Competitive advantages

By combining the functionality of the best SQL, NoSQL, and NewSQL products on the...
» more

Typical application scenarios

Use cases where HarperDB is a better fit than other solutions include: Rapid app...
» more

Key customers

A few highlighted customers include: US Army, US Airforce, Chelan PUD, TATA, & Lumen....
» more

Market metrics

Over 26K total HarperDB users : 12,700+ npm downloads 10,000+ on Docker Hub 3,400+...
» more

Licensing and pricing models

HarperDB follows a freemium/premium model . A data base is only as powerful as it...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

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