DBMS > Datomic vs. RDFox vs. Splunk vs. Trafodion

System Properties Comparison Datomic vs. RDFox vs. Splunk vs. Trafodion

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Editorial information provided by DB-Engines

Name

Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.

Description

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

High performance knowledge graph and semantic reasoning engine

Analytics Platform for Big Data

Transactional SQL-on-Hadoop DBMS

Primary database model

Secondary database models

Relational DBMS

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

Score	1.55
Rank	#144	Overall
	#67	Relational DBMS

Score	0.22
Rank	#305	Overall
	#25	Graph DBMS
	#15	RDF stores

Score	93.02
Rank	#13	Overall
	#2	Search engines

Website

www.datomic.com

www.oxfordsemantic.tech

www.splunk.com

trafodion.apache.org

Technical documentation

docs.datomic.com

docs.oxfordsemantic.tech

docs.splunk.com/Documentation/Splunk

trafodion.apache.org/documentation.html

Developer

Cognitect

Oxford Semantic Technologies

Splunk Inc.

Apache Software Foundation, originally developed by HP

Initial release

2012

2017

2003

2014

Current release

1.0.7180, July 2024

6.0, Septermber 2022

2.3.0, February 2019

License

Commercial or Open Source

commercial

limited edition free

commercial

Limited free edition and free developer edition available

Open Source

Apache 2.0

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

C++

C++, Java

Server operating systems

All OS with a Java VM

Linux
macOS
Windows

Linux
OS X
Solaris
Windows

Linux

Data scheme

yes

RDF schemas

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

Splunk Search Processing Language for search commands

yes

APIs and other access methods

RESTful HTTP API

RESTful HTTP API
SPARQL 1.1

HTTP REST

ADO.NET
JDBC
ODBC

Supported programming languages

Clojure
Java

C
Java

C#
Java
JavaScript
PHP
Python
Ruby

All languages supporting JDBC/ODBC/ADO.Net

Server-side scripts

Stored procedures

yes

Transaction Functions

yes

Java Stored Procedures

Triggers

By using transaction functions

yes

Partitioning methods

Methods for storing different data on different nodes

none

But extensive use of caching in the application peers

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

But extensive use of caching in the application peers

replication via a shared file system

Multi-source replication

yes, via HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via user defined functions and HBase

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

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

ACID

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

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

Roles, resources, and access types

Access rights for users and roles

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

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