DBMS > Tarantool vs. Transbase

System Properties Comparison Tarantool vs. Transbase

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Editorial information provided by DB-Engines

Name

Description

In-memory computing platform with a flexible data schema for efficiently building high-performance applications

A resource-optimized, high-performance, universally applicable RDBMS

Primary database model

Key-value store

Relational DBMS

Secondary database models

Document store
Relational DBMS
Spatial DBMS

with Tarantool/GIS extension

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

Score	1.87
Rank	#151	Overall
	#27	Key-value stores

Score	0.52
Rank	#274	Overall
	#128	Relational DBMS

Website

www.tarantool.io

www.transaction.de/en/products/transbase.html

Technical documentation

www.tarantool.io/en/doc

www.transaction.de/en/products/transbase/features.html

Developer

Transaction Software GmbH

Initial release

2008

1987

Current release

2.10.0, May 2022

Transbase 8.4, September 2020

License

Commercial or Open Source

Open Source

BSD

commercial

free development license

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 and C++

Server operating systems

BSD
Linux
macOS

FreeBSD
Linux
macOS
Solaris
Windows

Data scheme

schema-free, schema definition possible

yes

Typing

predefined data types such as float or date

string, double, decimal, uuid, integer, blob, boolean

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

Full-featured ANSI SQL support

yes

APIs and other access methods

Open binary protocol

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

Server-side scripts

Stored procedures

Lua, C and SQL stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Hash sharding based on virtual buckets

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

Source-replica replication

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, with SQL

yes

Transaction concepts

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

ACID, read commited

yes

Concurrency

Support for concurrent manipulation of data

yes, cooperative multitasking

yes

Durability

Support for making data persistent

yes, regular snapshots on disk, write ahead logging

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes, full featured in-memory storage engine with persistence

User concepts

Access control

Access rights for users and roles

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021, Vladimir Perepelytsya, Tarantool (sponsor)

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