DBMS > 4D vs. Blueflood vs. Datomic vs. Oracle Coherence

System Properties Comparison 4D vs. Blueflood vs. Datomic vs. Oracle Coherence

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Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

Scalable TimeSeries DBMS based on Cassandra

Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability

Oracles in-memory data grid solution

Primary database model

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

Score	2.58
Rank	#108	Overall
	#54	Relational DBMS

Score	0.06
Rank	#353	Overall
	#34	Time Series DBMS

Score	1.59
Rank	#150	Overall
	#69	Relational DBMS

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

Website

www.4d.com

blueflood.io

www.datomic.com

www.oracle.com/java/coherence

Technical documentation

developer.4d.com

github.com/rax-maas/blueflood/wiki

docs.datomic.com

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

Developer

4D, Inc

Rackspace

Cognitect

Oracle

Initial release

1984

2013

2012

2007

Current release

v20, April 2023

1.0.6735, June 2023

14.1, August 2023

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

commercial

limited edition free

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

Java

Java, Clojure

Java

Server operating systems

OS X
Windows

Linux
OS X

All OS with a Java VM

Data scheme

yes

predefined scheme

yes

schema-free

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

SQL

Support of SQL

yes

close to SQL 92

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

HTTP REST

RESTful HTTP API

JCache
JPA
RESTful HTTP API

Supported programming languages

4D proprietary IDE
PHP

Clojure
Java

.Net
C++
Java

Server-side scripts

Stored procedures

yes

Transaction Functions

Triggers

yes

By using transaction functions

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

based on Cassandra

none

But extensive use of caching in the application peers

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

selectable replication factor

based on Cassandra

none

But extensive use of caching in the application peers

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

Immediate Consistency

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)

yes

optionally

In-memory capabilities

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

yes

recommended only for testing and development

yes

User concepts

Access control

Users and groups

authentification to access the cache via certificates or http basic authentication

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