We met with CEO and Co – Founder of Radoop. Radoop is a big data analytics company with the goal of lowering the barrier for using Hadoop systems. The Radoop package allows even non-technical people to access, analyze and visualize big data, but also provides scripting and advanced predictive analytics for experts. It is integrated into RapidMiner, the most popular data mining tool, and pushes computations to an Apache Hadoop cluster.

So who are you and what are you doing ?

I’m Zoltan Prekopcsac.  I’m the co- founder and CEO of Radoop.  I personally have a background in data mining and machine learning .At Radoopwe are dealing with big data and allowing our customers to analyze large data sets in an easy to use interface. The Company is almost 3 years old now and the product has been launched a bit for more than a year ago.  We are slowly maturing and the product is very stable now.  We just need to go out their to other markets  now and spread the word about what we can do.

How did you come up with this idea?

I was working in academia and we had been working with very large data sets at the time.  Started working with Hadoop and realized how complex it is.  So it was my own pain that lead to this.  I couldn’t find any tools to work with.  So we had lots of experience with the graphical user interfaces, like RapidMiner, so it was an obvious choice to connect these 2 worlds, the distributive power of Hadoop based analytics and the ease of use interfaces like RapidMiner.

Could you tell me a little about your business ?

So many companies are looking into big data these days and one of the most popular platforms is Hadoop.  Hadoop is a very complex technology; you need usually, developers and programmers to work with that.  What we do is create a graphical user interface to simplify the usage of Hadoop.  You do not need weeks and months of training to do big data analytics.  You can simply use our interface and in a few hours you are able to generate repots and even create machine learning processes.

What males you unique ? 

Yeah, we are very specially focused on machine learning and analytics. What also is special, we are integrated with RapidMiner.  RapiMiner is one of the top advanced analytics tools. Recent Gartner survey has identified RapidMiner as a leader and we have a very strong integration.  So you get a very familiar interface if you are used to RapidMiner and you can combine in Hadoop analytics with RapidMiner so it is a very powerful combination.

What is your business model?

We license our product per user per year.  So customers can buy these licenses depending on the Hadoop cluster size and the support they need. We also sell some services, we help companies get started with big data, with the infrastructure and we also do analytics.

Are you looking to expand into other markets?

Yes of course, even if we’re based in Hungary we do have Schneider Electronics as a big client.  We also have other several medium sized companies from the US and from India as our clients.  We are doing our best to expand  by taking help from our partners who are based in the US, Germany and   Singapore.

Are you looking for any funding, any special talents to hire?

Yeah, we are always looking for talents

What kind of talents?

Usually we need programmers to develop platform, but also what is very challenging in the big data space is to find good business talent.  So sales guides, it’s a very complex IT solution, so they need to be well versed in IT but still have the business and sales skills.  That’s certainly a challenge. We can hire the programmers and developers from Hungary, because Hungary has a good education of computer science.

Radoop is a big data analytics company with the goal of lowering the barrier for using Hadoop systems. The Radoop package allows even non-technical people to access, analyze and visualize big data, but also provides scripting and advanced predictive analytics for experts. It is integrated into RapidMiner, the most popular data mining tool, and pushes computations to an Apache Hadoop cluster.