Data Management

Which technologies to adopt for a successful Data Management?

A company's data is above all its first resource to be made profitable in order to impose its brand. In addition to finding, the right policy that ensures your data has a certain quality; you need to choose the right method to manage it. Several technologies developed by data management giants help you find ways out favorable to the life and durability of your data. In this article, we will see in detail the particularities of these systems and devices put in place for the success of Data Management within your company.

#1. Definition

If Data Governance is defined as a set of methods that allow you to ensure the quality of your company's data by maintaining reliable, up-to-date and secure data, Data Management consists of putting in place a strategy to properly manage its data. Data management necessarily involves data governance. Data Management brings together all the processes put in place to collect, structure and use data in order to integrate them into your company's information system. It allows you to transform data into strategic capital for your structure.

#2. SQL data management technologies

Several computer languages allow you to manage your data. The SQL language is the most well-known database management language. Its main objective is to define, manipulate and protect data with simple and schematic technologies. As its name suggests, it is a Structured Query Language

Microsoft SQL Server

It is one of the tools developed by the giant Microsoft to easily manage your database. It is a Database Management System (DBMS) that is built on the SQL language and incorporates other systems like RDBMS into its operation. It outclasses its competitors because of its freeness and all its peculiarities. You can use it on Windows and Linux OS since March 2016. You can perform several native inter-database queries without any complications. Microsoft Sql server gives you some flexibility in schema management thanks to the available commands


In competition with Microsoft SQL Server, several other technologies are used on the market to manage data. MySQL remains one of the most popular that also offers a Relational Database Management System. It is open source software, that is to say free source that allows companies to increase their performance in reading their data. MySQL presents itself as a very efficient tool that supports many operating systems and computer languages. Several companies like Google, YouTube, Yahoo, Adobe, Airbus, Crédit Agricole, BBC News and many others use MySQL to manage their database. It is a multi-threaded and multi-user tool.


After Sun Microsystems acquired MySQL and Oracle Corporation acquired the latter, the software founder left the company to create another system called MariaDB. It is a community fork of MySQL deployed to reaffirm the open source character of the system. It is a database management software that gives your company freedom in the actions to be taken to ensure the quality and security of your relational data. It is a tool in perpetual development having replaced MySQL with a quality interoperability.

Oracle Database

Oracle Database belongs to Oracle Corporation that has offered a free version of the software since 2005. It is also a relational database management system, but which retains a certain peculiarity. Indeed, version 8 of the software includes an object model that transforms Oracle Database into a relational-object system (SGBDRO). Among the many features of the tool, we can list SQL, PL/SQL, Java, Spatial, OLAP engine, etc. The quality of Oracle Database is justified by the fact that you can use it on almost any platforms, but also because it has obtained several certifications and reached several records.

#3. NoSQL technologies

NoSQL technologies are an alternative to SQL, initiated by GAFAs to respond to big data issues.


It was Facebook that launched the open source version of Casandra in 2008. It is a NoSQL database that allows you to manage large volumes of data and increases the performance of reading them. Apple, Netflix and Spotify use it as well as start-ups to facilitate visibility on the success of their applications. It is a solution widely used by web giants.


It is a very popular tool developed in 2007 by the eponymous company. It is the most used NoSQL database because of its master-slave type architecture. It facilitates the management of your documents thanks to its flexibility and its fairly clear structure. It is a tool that meets 80% of the needs covered by a traditional relational database, with the exception of transactional. Several large companies use it as well as young organizations because it offers rapid adaptation.


Hbase is recognized as the NoSQL solution for managing very large volumes. Often opposed to Casandra, Hbase is defined as a column-oriented base. Like Mongodb, its architecture operates as a master-slave and can handle huge amounts of data. It favors query possibilities more than data consistency. On the volume of data it can handle, it far exceeds Casandra.


It is an in-memory database based on the key-value principle. It facilitates access to data and performs tasks with incredible speed. Although Redis is not built to support large volumes like Hbase, it can handle transactional. You can use it in e-commerce because of its high availability and low latency.

Elasticsearch / logstash

Elasticsearch is used as a powerful search engine that relies on an open source indexing library to store and analyze data. These may appear structured or not, Elasticsearch takes care of organizing them. It is a powerful tool that is very often compared to Apache Solr. Its use streamlines your data management and allows you to go faster without wasting time. You can more easily visualize your data and analyze it in order to save it as you see fit.

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