DBMS > Snowflake vs. Tarantool

System Properties Comparison Snowflake vs. Tarantool

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Editorial information provided by DB-Engines

Name

Description

Cloud-based data warehousing service for structured and semi-structured data

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

Primary database model

Relational DBMS

Key-value store

Secondary database models

Document store
Relational DBMS
Spatial DBMS

with Tarantool/GIS extension

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Trend Chart

Score	114.13
Rank	#11	Overall
	#8	Relational DBMS

Score	2.01
Rank	#155	Overall
	#27	Key-value stores

Website

www.snowflake.com

www.tarantool.io

Technical documentation

docs.snowflake.net/manuals/index.html

www.tarantool.io/en/doc

Developer

Snowflake Computing Inc.

Initial release

2014

2008

Current release

2.10.0, May 2022

License

Commercial or Open Source

commercial

Open Source

BSD

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C and C++

Server operating systems

hosted

BSD
Linux
macOS

Data scheme

yes

support of semi-structured data formats (JSON, XML, Avro)

schema-free, schema definition possible

Typing

predefined data types such as float or date

yes

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

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

yes

Full-featured ANSI SQL support

APIs and other access methods

CLI Client
JDBC
ODBC

Open binary protocol

Supported programming languages

JavaScript (Node.js)
Python

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

Server-side scripts

Stored procedures

user defined functions

Lua, C and SQL stored procedures

Triggers

similar concept for controling cloud resources

yes

Partitioning methods

Methods for storing different data on different nodes

yes

Hash sharding based on virtual buckets

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source 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

yes, with SQL

Transaction concepts

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

ACID

ACID, read commited

Concurrency

Support for concurrent manipulation of data

yes

yes, cooperative multitasking

Durability

Support for making data persistent

yes

yes, regular snapshots on disk, write ahead logging

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

Users with fine-grained authorization concept, user roles and pluggable authentication

Access rights for users and roles

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