DBMS > Interbase vs. Oracle Rdb vs. Titan vs. Yanza

System Properties Comparison Interbase vs. Oracle Rdb vs. Titan vs. Yanza

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Editorial information provided by DB-Engines

Name

Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

Light-weight proven RDBMS

originally from Borland

Titan is a Graph DBMS optimized for distributed clusters.

Time Series DBMS for IoT Applications

Primary database model

Relational DBMS

Graph DBMS

Time Series DBMS

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

Score	4.08
Rank	#75	Overall
	#41	Relational DBMS

Score	1.14
Rank	#178	Overall
	#80	Relational DBMS

Website

www.embarcadero.com/products/interbase

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

github.com/thinkaurelius/titan

yanza.com

Technical documentation

docs.embarcadero.com/products/interbase

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

github.com/thinkaurelius/titan/wiki

Developer

Embarcadero

Oracle, originally developed by Digital Equipment Corporation (DEC)

Aurelius, owned by DataStax

Yanza

Initial release

1984

2012

2015

Current release

InterBase 2020, December 2019

7.4.1.1, 2021

License

Commercial or Open Source

commercial

Open Source

Apache license, version 2.0

commercial

free version available

Cloud-based only

Only available as a cloud service

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Server operating systems

Android
iOS
Linux
OS X
Windows

HP Open VMS

Linux
OS X
Unix
Windows

Windows

Data scheme

yes

Flexible Schema (defined schema, partial schema, schema free)

yes

schema-free

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.

export as XML data possible

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

ADO.NET
JDBC
ODBC

Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster

HTTP API

Supported programming languages

.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby

Clojure
Java
Python

any language that supports HTTP calls

Server-side scripts

Stored procedures

yes

Interbase procedure and trigger language

yes

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

none

yes

via pluggable storage backends

none

Replication methods

Methods for redundantly storing data on multiple nodes

Interbase Change Views

yes

none

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 graph

Transaction concepts

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

ACID

yes, on a single node

ACID

Concurrency

Support for concurrent manipulation of data

yes

Multiversion concurreny control

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

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More resources

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