DBMS > Derby vs. FileMaker vs. Hive

System Properties Comparison Derby vs. FileMaker vs. Hive

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

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

data warehouse software for querying and managing large distributed datasets, built on Hadoop

Primary database model

Relational DBMS

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

Score	5.17
Rank	#78	Overall
	#42	Relational DBMS

Score	52.27
Rank	#22	Overall
	#14	Relational DBMS

Score	81.61
Rank	#17	Overall
	#11	Relational DBMS

Website

db.apache.org/derby

www.claris.com/filemaker

hive.apache.org

Technical documentation

db.apache.org/derby/manuals/index.html

www.claris.com/resources/documentation

cwiki.apache.org/confluence/display/Hive/Home

Developer

Apache Software Foundation

FileMaker

a subsidiary of Apple

Apache Software Foundation

initially developed by Facebook

Initial release

1997

1983

2012

Current release

10.15.2.0, March 2020

19.4.1, November 2021

3.1.2, August 2019

License

Commercial or Open Source

Open Source

Apache version 2

commercial

Open Source

Apache Version 2

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

Java

Server operating systems

All OS with a Java VM

iOS
OS X
Windows

All OS with a Java VM

Data scheme

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

A http query request can return the data in XML format

Secondary indexes

yes

SQL

Support of SQL

yes

via plugins

SQL-like DML and DDL statements

APIs and other access methods

JDBC

Filemaker WebDirect
JDBC
ODBC

JDBC
ODBC
Thrift

Supported programming languages

Java

PHP

C++
Java
PHP
Python

Server-side scripts

Stored procedures

Java Stored Procedures

yes

user defined functions and integration of map-reduce

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Source-replica replication, warm standby

since Version 14

selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

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

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

Access rights for users, groups and roles

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.