DBMS > Altibase vs. Datomic vs. OrigoDB vs. RDF4J

System Properties Comparison Altibase vs. Datomic vs. OrigoDB vs. RDF4J

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

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

A fully ACID in-memory object graph database

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Primary database model

Relational DBMS

Document store
Object oriented DBMS

RDF store

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

Score	0.95
Rank	#180	Overall
	#88	Relational DBMS

Score	1.70
Rank	#138	Overall
	#68	Relational DBMS

Score	0.00
Rank	#354	Overall
	#50	Document stores
	#20	Object oriented DBMS

Score	0.73
Rank	#204	Overall
	#9	RDF stores

Website

Technical documentation

github.com/ALTIBASE/Documents/tree/master/Manuals

docs.datomic.com

origodb.com/docs

rdf4j.org/documentation

Developer

Altibase

Cognitect

Robert Friberg et al

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Initial release

1999

2012

2009

under the name LiveDB

2004

Current release

v7.1.0.5.3, March 2021

1.0.6362, January 2022

License

Commercial or Open Source

Open Source

since February 2018

commercial

limited edition free

Open Source

Eclipse Distribution License (EDL), v1.0.

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

C++

Java, Clojure

Java

Server operating systems

AIX
HP-UX
Linux

All OS with a Java VM

Linux
Windows

Linux
OS X
Unix
Windows

Data scheme

yes

RDF Schemas

Typing

predefined data types such as float or date

yes

User defined using .NET types and collections

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.

can be achieved using .NET

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL-92

APIs and other access methods

JDBC
ODBC
Proprietary protocol

RESTful HTTP API

.NET Client API
HTTP API
LINQ

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

C
C++
Java

Clojure
Java

.Net

Java
PHP
Python

Server-side scripts

Stored procedures

stored procedures and stored functions

yes

Transaction Functions

yes

Triggers

yes

By using transaction functions

yes

Domain Events

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

But extensive use of caching in the application peers

horizontal partitioning

client side managed; servers are not synchronized

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

But extensive use of caching in the application peers

Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

depending on model

Transaction concepts

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

ACID

Isolation support depends on the API used

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

Write ahead log

yes

in-memory storage is supported as well

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

fine grained access rights according to SQL-standard

Role based authorization

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Main Memory Database System Market 2022 Growth Status of Key Manufacturers – Microsoft, Teradata, Tableau, ENEA, McObject, etc – The Daily Vale
21 May 2022, The Daily Vale

Open-source DBMS becoming battleground of public cloud
17 May 2022, Etnews

In-Memory Computing Market 2022 Industry Dynamic Forces – Gigaspaces, Gridgrain Systems, IBM, SAP SE, Fujitsu, etc – The Daily Vale
22 May 2022, The Daily Vale

In-memory Computing Industry (2021 – 2026) – Market Trajectory & Analytics | Microsoft Corporation, Oracle Cprporation, SAP SE, IBM Corporation, TIBCO Software Inc., Intel Corporation – The Daily Vale
20 May 2022, The Daily Vale

In-memory OLAP Database Market Size In 2022 : Top Countries Data, SWOT Analysis, Share, Top Manufactures, Growth Insights and Forecasts to 2027 | 128 Report Pages
17 May 2022, Digital Journal

provided by Google News

The Datomic Information Model
1 February 2013, InfoQ.com

The Architecture of Datomic
2 November 2012, InfoQ.com

Lucas Cavalcanti on Using Clojure, Microservices, Hexagonal Architecture and Public Cloud at Nubank
16 August 2021, InfoQ.com

Brazil's Nubank Acquires US Software Firm Cognitect
30 July 2020, Nearshore Americas

Nubank buys firm behind Clojure programming language
28 July 2020, Finextra

provided by Google News

GraphDB 9.5 Offers Data Virtualization From Tables to Graphs and Back
9 December 2020, PR Newswire

provided by Google News

Job opportunities

Sr. Backend Engineer .NET (REMOTE)
Railsbank, Houston, TX

Senior Business Intelligence Developer
IQuasar, Washington, DC

Data Scientist
Analytical Flavor Systems, Inc, Remote

Data Discovery Developer - Scientific Computing & Data
Mount Sinai, New York, NY

jobs by

Share this page