DBMS > BigObject vs. FoundationDB vs. H2 vs. OpenEdge vs. Oracle Coherence

System Properties Comparison BigObject vs. FoundationDB vs. H2 vs. OpenEdge vs. Oracle Coherence

Editorial information provided by DB-Engines

Name

Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.

Description

Analytic DBMS for real-time computations and queries

Ordered key-value store. Core features are complimented by layers.

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

Application development environment with integrated database management system

Oracles in-memory data grid solution

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Document store

supported via specific layer
Key-value store
Relational DBMS

supported via specific SQL-layer

Relational DBMS

Key-value store

Secondary database models

Spatial DBMS

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

Score	0.13
Rank	#333	Overall
	#147	Relational DBMS

Score	1.03
Rank	#190	Overall
	#31	Document stores
	#28	Key-value stores
	#89	Relational DBMS

Score	8.13
Rank	#49	Overall
	#31	Relational DBMS

Score	3.51
Rank	#86	Overall
	#46	Relational DBMS

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Website

bigobject.io

github.com/apple/foundationdb

www.h2database.com

www.progress.com/openedge

www.oracle.com/java/coherence

Technical documentation

docs.bigobject.io

apple.github.io/foundationdb

www.h2database.com/html/main.html

documentation.progress.com/output/ua/OpenEdge_latest

docs.oracle.com/en/middleware/standalone/coherence

Developer

BigObject, Inc.

FoundationDB

Thomas Mueller

Progress Software Corporation

Oracle

Initial release

2015

2013

2005

1984

2007

Current release

6.2.28, November 2020

2.2.220, July 2023

OpenEdge 12.2, March 2020

14.1, August 2023

License

Commercial or Open Source

commercial

free community edition available

Open Source

Apache 2.0

Open Source

dual-licence (Mozilla public license, Eclipse public license)

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

C++

Java

Server operating systems

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

Linux
OS X
Windows

All OS with a Java VM

AIX
HP-UX
Linux
Solaris
Windows

All OS with a Java VM

Data scheme

yes

schema-free

some layers support schemas

yes

schema-free

Typing

predefined data types such as float or date

yes

some layers support typing

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

SQL

Support of SQL

SQL-like DML and DDL statements

supported in specific SQL layer only

yes

close to SQL 92

APIs and other access methods

fluentd
ODBC
RESTful HTTP API

JDBC
ODBC

JCache
JPA
RESTful HTTP API

Supported programming languages

.Net
C
C++
Go
Java
JavaScript

Node.js
PHP
Python
Ruby
Swift

Java

Progress proprietary ABL (Advanced Business Language)

.Net
C++
Java

Server-side scripts

Stored procedures

Lua

in SQL-layer only

Java Stored Procedures and User-Defined Functions

yes

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

horizontal partitioning

since Version 11.4

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

With clustering: 2 database servers on different computers operate on identical copies of a database

Source-replica replication

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Linearizable consistency

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

in SQL-layer only

yes

Transaction concepts

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

ACID

configurable

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

optionally

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

Users and groups

authentification to access the cache via certificates or http basic authentication

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