Blog

09- 20 2017

Optimising MariaDB for Big Data

MariaDB is used at the core of ERP5 and Wendelin. Thanks to NEO distributed object store, MariaDB can store hundred terabyte of big data information such as wind turbine vibration, noise, server logs, etc. We explain in this blog how we currently optimise MariaDB to obtain good results and what remains to be done at the core of MariaDB to reach even further scalability.
0 comment | Share: Facebook logo Twitter Logo | Categories MariaDB ; scalability ; optimisation ; big data
08- 25 2016

Have AI. Need Data: How Big Data App Stores close the Data Divide between Startups and Industry

A Big Data App Store allows a startup company to run its data analysis and A.I. software against data sets of large corporations with revenues being shared between both. It offers an opportunity for industry and startups to compete with GAFA (Google Apple Facebook Amazon) or BAT (Baidu Alibaba Tencent) by closing the Data Divide resulting from compliance or strategic mismatch and can be implemented in three months by a small team using Wendelin technology.
0 comment | Share: Facebook logo Twitter Logo | Categories Big Data ; appstore
09- 24 2015

Wendelin: core version 0.5 upgrade and performance tests

Wendelin Core was upgraded to version 0.5 adding support for two different formats of data storage. We compare their performance against MariaDB and look ahead.
0 comment | Share: Facebook logo Twitter Logo | Categories Open Source ; Nexedi ; Big Data ; Wendelin
09- 09 2015

Wendelin: new 0.4 alpha announced

Wendelin has just announced the new 0.4 alpha release. This release focuses on reducing installation time for Debian 8.1 (64bit) while also fixing a number of performance bugs and providing a fully functional development instance able to run live tests and allowing anyone to develop on top of Wendelin. This post also introduces the Wendelin research project, technical stack and provides a short tutorial on how to get started using Wendelin.
0 comment | Share: Facebook logo Twitter Logo | Categories Open Source ; Nexedi ; Big Data ; Wendelin