DBMS > 4D vs. Hive vs. KairosDB vs. SWC-DB vs. Valentina Server

System Properties Comparison 4D vs. Hive vs. KairosDB vs. SWC-DB vs. Valentina Server

Editorial information provided by DB-Engines

Name

Description

Application development environment with integrated database management system

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

Distributed Time Series DBMS based on Cassandra or H2

A high performance, scalable Wide Column DBMS

Object-relational database and reports server

Primary database model

Secondary database models

Time Series DBMS

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

Score	2.58
Rank	#108	Overall
	#54	Relational DBMS

Score	61.17
Rank	#18	Overall
	#12	Relational DBMS

Score	0.62
Rank	#239	Overall
	#20	Time Series DBMS

Score	0.01
Rank	#376	Overall
	#13	Wide column stores

Score	0.17
Rank	#327	Overall
	#145	Relational DBMS

Website

www.4d.com

hive.apache.org

github.com/kairosdb/kairosdb

github.com/kashirin-alex/swc-db
www.swcdb.org

www.valentina-db.net

Technical documentation

developer.4d.com

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

kairosdb.github.io

valentina-db.com/docs/dokuwiki/v5/doku.php

Developer

4D, Inc

Apache Software Foundation

initially developed by Facebook

Alex Kashirin

Paradigma Software

Initial release

1984

2012

2013

2020

1999

Current release

v20, April 2023

3.1.3, April 2022

1.2.2, November 2018

0.5, April 2021

5.7.5

License

Commercial or Open Source

commercial

Open Source

Apache Version 2

Open Source

Apache 2.0

Open Source

GPL V3

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

C++

Server operating systems

OS X
Windows

All OS with a Java VM

Linux
OS X
Windows

Linux

Linux
OS X
Windows

Data scheme

yes

schema-free

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

Secondary indexes

yes

SQL

Support of SQL

yes

close to SQL 92

SQL-like DML and DDL statements

SQL-like query language

yes

APIs and other access methods

ODBC
RESTful HTTP API

by using 4D Mobile
SOAP webservices

JDBC
ODBC
Thrift

Graphite protocol
HTTP REST
Telnet API

Proprietary protocol
Thrift

ODBC

Supported programming languages

4D proprietary IDE
PHP

C++
Java
PHP
Python

Java
JavaScript

Node.js
PHP
Python

C++

.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET

Server-side scripts

Stored procedures

yes

user defined functions and integration of map-reduce

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

based on Cassandra

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

selectable replication factor

based on Cassandra

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

based on Cassandra
Immediate Consistency

based on Cassandra

Immediate 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

Users and groups

Access rights for users, groups and roles

simple password-based access control

fine grained access rights according to SQL-standard

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