DBMS > Tarantool vs. Warp 10

System Properties Comparison Tarantool vs. Warp 10

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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

TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase

Primary database model

Key-value store

Time Series 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	1.36
Rank	#146	Overall
	#28	Key-value stores

Score	0.18
Rank	#295	Overall
	#26	Time Series DBMS

Website

www.tarantool.io

www.warp10.io

Technical documentation

www.tarantool.io/en/doc

www.warp10.io/content/02_Getting_started

Developer

SenX

Initial release

2008

2015

Current release

2.4.2, July 2020

License

Commercial or Open Source

Open Source

BSD

Open Source

Apache License 2.0

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 and C++

Java

Server operating systems

BSD
Linux
macOS

Linux
OS X
Windows

Data scheme

schema-free, schema definition possible

schema-free

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

APIs and other access methods

Open binary protocol

HTTP API
Jupyter
WebSocket

Supported programming languages

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

Server-side scripts

Stored procedures

Lua, C and SQL stored procedures

yes

WarpScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Hash sharding based on virtual buckets

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

based on HBase

Foreign keys

Referential integrity

yes, with SQL

Transaction concepts

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

ACID, read commited

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

yes

User concepts

Access control

Access rights for users and roles

Mandatory use of cryptographic tokens, containing fine-grained authorizations

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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)

show all

Recent citations in the news

Tarantool: A Lua-based database engine
13 April 2016, opensource.com

provided by Google News

Time Series Databases Software Market Is Expected to Boom: InfluxDB, Axibase Time Series Database, Trendalyze – Designer Women
4 July 2022, Designer Women

Future Prospects of Time Series Databases Software Market by 2029 | InfluxDB, Axibase Time Series Database, Trendalyze – Designer Women
28 June 2022, Designer Women

Time Series Intelligence Software Market Size Research by Business Analysis, 2022-2030 – Indian Defence News
29 June 2022, Indian Defence News

provided by Google News

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