https://github.com/torodb/stampede

The ToroDB solution to provide better analytics on top of MongoDB and make it easier to migrate from MongoDB to SQL
https://github.com/torodb/stampede

analytics nosql nosql-database sql sql-database

Last synced: about 2 months ago
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The ToroDB solution to provide better analytics on top of MongoDB and make it easier to migrate from MongoDB to SQL

• Host: GitHub
• URL: https://github.com/torodb/stampede
• Owner: torodb
• License: agpl-3.0
• Created: 2014-10-23T17:04:21.000Z (about 10 years ago)
• Default Branch: master
• Last Pushed: 2018-10-25T07:02:08.000Z (about 6 years ago)
• Last Synced: 2024-06-02T15:56:52.822Z (7 months ago)
• Topics: analytics, nosql, nosql-database, sql, sql-database
• Language: Java
• Homepage: https://www.torodb.com/stampede/
• Size: 13.4 MB
• Stars: 1,767
• Watchers: 85
• Forks: 119
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE-GNU_AGPLv3.txt

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README

        
# ToroDB Stampede

> Transform your NoSQL data from a MongoDB replica set into a relational database in PostgreSQL.

There are other solutions that are able to store the JSON document in a 

relational table using PostgreSQL JSON support, but it doesn't solve the real 

problem of 'how to really use that data'. ToroDB Stampede replicates the 

document structure in different relational tables and stores the document data

in different tuples using those tables.

![](documentation/docs/images/tables_distribution.jpeg)

## Installation

Due to the use of different external systems like MongoDB and PostgreSQL, the

installation requires some previous steps. Take a look at out 

[quickstart][1] in the

documentation.

## Usage example

MongoDB is a great idea, but sooner or later some kind of business 

intelligence, or complex aggregated queries are required. At this point MongoDB

is not so powerful and ToroDB Stampede borns to solve that problem (see 

[our post about that][2]).

The kind of replication done by ToroDB Stampede allows the execution of 

aggregated queries in a relational backend (PostgreSQL) with a noticeable time 

improvement.

A deeper explanation is available in our 

[how to use][3] section in the 

documentation.

## Development setup

As it was said in the installation section, the requirements of external 

systems can make more difficult to explain briefly how to setup the development 

environment here. So if you want to take a look on how to prepare your 

development environment, take a look to our 

[documentation][4].

## Release History

* 1.0.0

    * Released on October 24th 2018

* 1.0.0-beta3

    * Released on June 30th 2017

* 1.0.0-beta2

    * Released on April 06th 2017

* 1.0.0-beta1

    * Released on December 30th 2016

## Meta

ToroDB – [@nosqlonsql](https://twitter.com/nosqlonsql) – [email protected]

Distributed under the GNU AGPL v3 license. See ``LICENSE`` for more information.

[1]: https://www.torodb.com/stampede/docs/quickstart

[2]: https://www.8kdata.com/blog/the-conundrum-of-bi-aggregate-queries-on-mongodb/

[3]: https://www.torodb.com/stampede/docs/how-to-use

[4]: https://www.torodb.com/stampede/docs/installation/previous-requirements/