DBMS > 4D vs. Netezza vs. Oracle Coherence vs. SiriDB vs. XTDB

System Properties Comparison 4D vs. Netezza vs. Oracle Coherence vs. SiriDB vs. XTDB

Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

Data warehouse and analytics appliance part of IBM PureSystems

Oracles in-memory data grid solution

Open Source Time Series DBMS

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

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

Score	2.47
Rank	#110	Overall
	#54	Relational DBMS

Score	8.59
Rank	#45	Overall
	#29	Relational DBMS

Score	1.97
Rank	#129	Overall
	#22	Key-value stores

Score	0.07
Rank	#378	Overall
	#42	Time Series DBMS

Score	0.18
Rank	#332	Overall
	#46	Document stores

Website

www.4d.com

www.ibm.com/products/netezza

www.oracle.com/java/coherence

siridb.com

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

developer.4d.com

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

docs.siridb.com

www.xtdb.com/docs

Developer

4D, Inc

IBM

Oracle

Cesbit

Juxt Ltd.

Initial release

1984

2000

2007

2017

2019

Current release

v20, April 2023

14.1, August 2023

1.19, September 2021

License

Commercial or Open Source

commercial

Open Source

MIT License

Open Source

MIT License

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

Clojure

Server operating systems

OS X
Windows

Linux

included in appliance

All OS with a Java VM

Linux

All OS with a Java 8 (and higher) VM
Linux

Data scheme

yes

schema-free

yes

schema-free

Typing

predefined data types such as float or date

yes

Numeric data

yes, extensible-data-notation format

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

yes

limited SQL, making use of Apache Calcite

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

JDBC
ODBC
OLE DB

JCache
JPA
RESTful HTTP API

HTTP API

HTTP REST
JDBC

Supported programming languages

4D proprietary IDE
PHP

C
C++
Fortran
Java
Lua
Perl
Python
R

.Net
C++
Java

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

Clojure
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Source-replica replication

yes, with selectable consistency level

yes

yes, each node contains all data

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

optionally

yes

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

In-memory capabilities

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

yes

User concepts

Access control

Users and groups

Users with fine-grained authorization concept

authentification to access the cache via certificates or http basic authentication

simple rights management via user accounts

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More resources

DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

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Recent citations in the news

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AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

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21 August 2019, AWS Blog

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