DBMS > Oracle Rdb vs. Splunk vs. Transwarp ArgoDB

System Properties Comparison Oracle Rdb vs. Splunk vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines

Name

Description

Analytics Platform for Big Data

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

Primary database model

Relational DBMS

Search engine

Relational DBMS

Secondary database models

Search engine

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

Score	1.08
Rank	#184	Overall
	#85	Relational DBMS

Score	86.45
Rank	#14	Overall
	#2	Search engines

Score	0.07
Rank	#350	Overall
	#153	Relational DBMS

Website

www.oracle.com/database/technologies/related/rdb.html

www.splunk.com

www.transwarp.cn/en/product/argodb

Technical documentation

www.oracle.com/database/technologies/related/rdb-doc.html

docs.splunk.com/Documentation/Splunk

docs.transwarp.cn/#/documents-support/docs?category=ARGODB

Developer

Oracle, originally developed by Digital Equipment Corporation (DEC)

Splunk Inc.

Transwarp

Initial release

1984

2003

Current release

7.4.1.1, 2021

License

Commercial or Open Source

commercial

Limited free edition and free developer edition available

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.

Server operating systems

HP Open VMS

Linux
OS X
Solaris
Windows

Data scheme

Flexible Schema (defined schema, partial schema, 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

Splunk Search Processing Language for search commands

yes

APIs and other access methods

HTTP REST

Supported programming languages

C#
Java
JavaScript
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

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

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes, on a single node

A 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching

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.

User concepts

Access control

Access rights for users and roles

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More resources

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