DBMS > Altibase vs. atoti vs. JanusGraph vs. SpaceTime

System Properties Comparison Altibase vs. atoti vs. JanusGraph vs. SpaceTime

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Editorial information provided by DB-Engines

Name

Description

An enterprise grade, high-performance RDBMS

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

A Graph DBMS optimized for distributed clusters

It was forked from the latest code base of Titan in January 2017

SpaceTime is a spatio-temporal DBMS with a focus on performance.

Primary database model

Secondary database models

Relational DBMS

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

Score	1.07
Rank	#186	Overall
	#87	Relational DBMS

Score	0.56
Rank	#245	Overall
	#10	Object oriented DBMS

Score	1.94
Rank	#129	Overall
	#12	Graph DBMS

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Website

altibase.com

atoti.io

janusgraph.org

www.mireo.com/spacetime

Technical documentation

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

docs.atoti.io

docs.janusgraph.org

Developer

Altibase

ActiveViam

Linux Foundation; originally developed as Titan by Aurelius

Mireo

Initial release

1999

2017

2020

Current release

v7.3, 2023, August 2023

0.6.3, February 2023

License

Commercial or Open Source

commercial

Open source edition discontinued with March 2023

commercial

free versions available

Open Source

Apache 2.0

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

C++

Java

C++

Server operating systems

AIX
HP-UX
Linux

Linux
OS X
Unix
Windows

Linux

Data scheme

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.

Secondary indexes

yes

SQL

Support of SQL

ANSI SQL-92

Multidimensional Expressions (MDX)

A subset of ANSI SQL is implemented

APIs and other access methods

JDBC
ODBC
Proprietary protocol

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

RESTful HTTP API

Supported programming languages

C
C++
Java

Clojure
Java
Python

C#
C++
Python

Server-side scripts

Stored procedures

stored procedures and stored functions

Python

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding, horizontal partitioning

yes

depending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)

Fixed-grid hypercubes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Real-time block device replication (DRBD)

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

via Faunus, a graph analytics engine

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

Supports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast

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

fine grained access rights according to SQL-standard

User authentification and security via Rexster Graph Server

yes

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More resources

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