European database leader, quasarDB, to enter Indian market

Paris, France, July 11 2015: quasarDB, Europe’s first NoSQL Database company   has just launched launched Version 2.0.0 Beta 3 of its flagship quasarDB  XTP and is all set to join forces with the major players in the Indian IT Sector.
The database has been designed to be very fast, highly scalable and flexible for highly demanding Big Data, Finance, Ad Exchange and the Gaming industry. 
The company believes India could be the next booming market for NoSQL solutions.
Says Edouard Alligand, Founder and CEO of quasarDB: “Our unique innovation [in version 2.0] is that you can look up by tag, and that this tagging is defined by the user. Our technology enables you to have millions and millions of tags for millions and millions of entries, while still delivering top-of-the-line performance. The competition either imposes you to have a rigid schema or to do automatic indexing, which is slow and often irrelevant. With tagging, you have full control over what the database does. quasarDB’s distributed database works in a peer-to-peer structure that has been designed with two requirements: performance and no SPOF (single point of failure). Philosophically, we are in an approach where we are the best solution to problems faced by companies in today’s world of Big Data.”
Tech note:  What is NoSQL:
A NoSQL (often interpreted as Not only SQL) database is  whole
new way of thinking about a database. It provides a mechanism for
storage and retrieval of data that is modeled in means other than
the tabular relations used in relational databases.


After partnering with Microsoft on the Azure platform to create ready-to-run Virtual Machine images, the company recently partnered with Canonical’s Juju’s Charm Partner Programme, a cloud based application solution. Their client portfolio include a finance institute in Paris, and are currently negotiating with two major banks in France and one in London. On how NoSQL database is reinventing the finance industry, Edouard had to say “Our software solves two big problems in finance: First, to create a very fast market data store, and second, to be able to do distributed computing when you have to distribute data on many, many CPUs for regulations, or just to do analytics computation."